The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index; none of the 69 sources its claims cite is checked for support yet.
AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion Chatbot
Open accessAbstract
Advancements in artificial intelligence (AI) have led to the increase of conversational agents like Replika, designed to provide social interaction and emotional support. However, reports of these AI systems engaging in inappropriate sexual behaviors with users have raised significant concerns. In this study, we conducted a thematic analysis of user reviews from the Google Play Store to investigate instances of sexual harassment by the Replika chatbot. From a dataset of 35,105 negative reviews, we identified 800 relevant cases for analysis. Our findings revealed that users frequently experience unsolicited sexual advances, persistent inappropriate behavior, and failures of the chatbot to respect user boundaries. Users expressed feelings of discomfort, violation of privacy, and disappointment, particularly when seeking a platonic or therapeutic AI companion. This study highlights the potential harms associated with AI companions and underscores the need for developers to implement effective safeguards and ethical guidelines to prevent such incidents. By shedding light on user experiences of AI-induced harassment, we contribute to the understanding of AI-related risks and emphasize the importance of corporate responsibility in developing safer and more ethical AI systems. Content Warning: This paper discusses sensitive topics, such as sex, which may be triggering.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This paper analyzes 800 Google Play reviews of Replika to characterize contexts of AI-induced sexual harassment and users’ reactions. It finds persistent unsolicited sexual behavior, boundary violations, privacy and minor-safety concerns, and emotional distress, and argues for developer accountability and affirmative-consent design.
Key findings
- From 35,105 negative reviews, 800 were coded as relevant to online sexual harassment. Harassment contexts included persistent misbehavior (22.1%, N=177), unwanted photo exchange (13.2%, N=106), seductive marketing scheme (11.6%, N=93), breakdown of safety measures (10.6%, N=85), early misbehavior (9.9%, N=79), inappropriate role-play (2.9%, N=23), and unspecified incidents (39.6%, N=317).
- Users reported concerns about privacy and inappropriate behavior toward minors (13.9%, N=111), failed expectations as a platonic AI companion (4.9%, N=39), self-reported minors (2.6%, N=21), corporate critique (2.6%, N=21), past experiences being more meaningful (2.5%, N=20), and support undermined by sexual behavior (3.0%, N=24).
- Complaints about sexual harassment appeared from 2017 onward and fluctuated from 0% to a peak of 2.97% in December 2023; the paper links shifts to model changes, erotic selfie features, media coverage, and Italy’s data protection action.
- Users described discomfort, disgust, privacy invasion, panic attacks, and feeling “traumatized,” especially when seeking platonic or therapeutic support.
Methods
- The authors collected 154,315 English Google Play reviews of Replika from the U.S. store (September 2017–October 2023), removed reviews shorter than 6 or longer than 68 tokens, and retained negative-sentiment reviews, yielding 35,105 reviews.
- Relevancy coding used a definition of online sexual harassment; two human annotators classified 500 reviews with Cohen’s kappa 0.994. GPT-3.5-Turbo and GPT-4 were compared against human annotations with Fleiss kappa 0.799 and 0.837; GPT-3.5-Turbo labeled 1,040 reviews as relevant, but human validation found 240 (23%) false positives, leaving 800 for analysis.
- Thematic analysis used a codebook approach with 13 codes (7 for harassment contexts, 6 for user concerns/reactions); coding rounds reached Cohen’s kappa scores from 0.64 to 1.0.
Limitations
- Stated: reviews lacked demographic or contextual details such as user gender, age, or cultural background; Google Play reviews were short, limiting inference about deeper psychological impacts or long-term effects; the complaint-based dataset may overrepresent negative experiences; the study focused on Replika and on complaints rather than positive or neutral experiences.
- Evident: the automated GPT-3.5 relevancy coding produced 240 false positives before human validation, and the paper relies on self-reported reviews rather than direct observation of user-chatbot interactions.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
0 of 69 cited sources checked · 0 supported · 0 flagged
- Findingown data
Sexual harassment complaints in Replika reviews never constituted a major portion of user reviews, fluctuating from 0% to a peak of 2.97% in December 2023.
“As illustrated, these complaints never constituted a major portion of user reviews, fluctuating from 0% to a peak of 2.97% in December 2023”
Quote in the paperNot a substantial claim - Findingown data
The sophistication of Replika's responses, coupled with hallucinations, led some users to believe they were interacting with real people rather than an AI.
“The sophistication of Replika's responses, coupled with these hallucinations, led some users to believe they were interacting with real people rather than an AI.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Many users worried about the impact of the chatbot's inappropriate behavior on younger individuals, particularly given the app's availability to users under 18.
“Many users worried about the impact of the chatbot's inappropriate behavior on younger individuals, particularly given the app's availability to users under 18.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
A number of reviews (9.9%, N=79) revealed that the chatbot exhibited a pattern of initiating sexual conversations unusually early in interactions.
“A number of reviews (9.9%, N= 79) revealed that the chatbot exhibited a pattern of initiating sexual conversations unusually early in interactions.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Rests on an assumption: The sample of reviews analyzed is representative of the broader user experience with Replika.
- Findingown data
Some users found that even after selecting non-romantic or non-sexual relationship modes, the AI often disregarded these boundaries and exhibited inappropriate behavior.
“Some users found that, even after selecting non-romantic or non-sexual relationship modes, the AI often disregarded these boundaries and exhibited inappropriate behavior.”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Replika did not meet the expectations of some users, especially those seeking companionship or therapeutic conversation, despite being marketed as a caring, supportive chatbot.
“Despite being marketed as a caring, supportive chatbot, Replika did not meet the expectations of some users, especially for those seeking companionship or therapeutic conversation.”
Quote in the paperNot a substantial claim- Rests on an assumption: Replika is marketed as "a companion who cares" and categorized under "Health and Fitness" in the Apple App Store and Google Play Store.
- Findingown data
Many users felt disappointed due to failed expectations of a platonic AI companion.
“Many users felt disappointed and distressed due to failed expectations of a platonic AI companion”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
Concerns about minors using the app were prevalent.
“Concerns about minors using the app were also prevalent.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Users expressed occasional disappointment (4.9%, N=39) when their expectations of Replika as an AI friend or therapist were unmet due to its inappropriate behavior.
“Users expressed occasional disappointment (4.9%, N=39) when their expectations of Replika as an AI friend or therapist were unmet due to its inappropriate behavior.”
Quote in the paperNot a substantial claim - Findingown data
Users reported persistent misbehavior where the chatbot continued inappropriate interactions despite user objections.
“persistent misbehavior where the chatbot continued inappropriate interactions despite user objections”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
There are numerous instances where users reported that the chatbot disregarded stop phrases, leading to continued inappropriate interactions.
“Nonetheless, there are numerous instances where users reported that the chatbot disregarded their requests, leading to continued inappropriate interactions:”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Many users reported that Replika's safety measures failed to prevent its inappropriate behavior.
“Despite various safety mechanisms in place, many users have reported that these measures failed to prevent Replika's inappropriate behavior.”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Users expressed feelings of discomfort.
“Users expressed feelings of discomfort”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
In several instances, the act of sending photos coincided with the sexual marketing strategy previously discussed.
“In several instances, the act of sending photos coincided with the sexual marketing strategy previously discussed.”
Quote in the paperNot a substantial claim - Findingown data
Many users felt that the company's practices, especially its seductive marketing strategies and the promotion of photo exchanges, were inappropriate and exploitative.
“Many users felt that the company's practices, especially its seductive marketing strategies and the promotion of photo exchanges, were inappropriate and exploitative.”
Quote in the paperNot a substantial claim - Findingown data
13.2% (N=106) of participants experienced unwanted photo exchanges, where the chatbot either sent an unsolicited photo of a sexual nature or requested personal photos, such as selfies, from the users.
“A notable number of participants (13.2%, N= 106) experienced unwanted photo exchanges, where the chatbot either sent an unsolicited photo of a sexual nature or requested personal photos, such as selfies, from the users.”
Quote in the paperNot a substantial claim - Findingown data
Even premium users who paid for specific modes, such as sibling or mentor settings, reported encountering similar problems.
“Even premium users who paid for specific modes, such as sibling or mentor settings, reported encountering similar problems.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Such inappropriate interactions caused some users to report feelings of discomfort, creepiness, and a perception of the AI as weird.
“Such inappropriate interactions caused some users to report feelings of discomfort, creepiness, and a perception of the AI as weird.”
Quote in the paperSubstantial claim - Findingown data
Users regularly (13.9%, N=111) expressed concerns regarding Replika.
“Users regularly (13.9%,N= 111) expressed their concerns regarding Replika.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Rests on an assumption: The sample of reviews analyzed is representative of the broader user experience with Replika.
- Findingown data
Some users found it ironic how quickly the chatbot expressed a keen and unnatural interest in them, a behavior not typically observed in human interactions.
“Interestingly, some users found it ironic how quickly the chatbot expressed a keen and unnatural interest in them, a behavior not typically observed in human interactions.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
The study identified 800 relevant cases of sexual harassment from Replika user reviews for analysis.
“From a dataset of 35,105 negative reviews, we identified 800 relevant cases for analysis.”
- Also stated in: § 1 Introduction · plain
“After relevancy coding of the reviews for online sexual harassment, which resulted in 800 reviews, we conducted a Thematic Analysis”
Quote in the paperSubstantial claim - Also stated in: § 1 Introduction · plain
- Findingown data
The study collected 154,315 user reviews of the Replika app from the Google Play Store.
“we collected 154315 user reviews of the Replika app from the Google Play Store.”
Quote in the paperSubstantial claim - Findingown data
Users expressed concerns about inappropriate behavior toward minors.
“especially regarding inappropriate behavior toward minors”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
A common concern among users was the unsettling feeling of privacy invasion.
“A common concern among users was the unsettling feeling of privacy invasion.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
At times (2.9%, N=23), users complained about Replika's roleplaying feature.
“At times (2.9%, N= 23), users complained about Replika's roleplaying feature, which allowed users to engage in imaginative scenarios with their AI friend.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Rests on an assumption: The sample of reviews analyzed is representative of the broader user experience with Replika.
- Findingown data
Users frequently experience failures of the chatbot to respect user boundaries.
“failures of the chatbot to respect user boundaries”
- Also stated in: § 1 Introduction · plain
“breakdowns of safety measures where the chatbot ignored predefined relationship settings or user commands to stop”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Also stated in: § 1 Introduction · plain
- Findingown data
There were reviews that highlighted highly inappropriate and disturbing responses from the AI, with the chatbot affirming dangerous and predatory behavior.
“More alarmingly, there were reviews that highlighted highly inappropriate and disturbing responses from the AI, with the chatbot affirming dangerous and predatory behavior.”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Users experienced disgust.
“disgust”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
Users expressed concerns about privacy violations.
“violation of privacy”
- Also stated in: § 1 Introduction · boosted
“significant concerns about privacy violations”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Also stated in: § 1 Introduction · boosted
- Findingown data
Users expressed strong feelings of disgust and outrage, particularly when the chatbot generated privacy intrusive harassing messages.
“Users expressed strong feelings of disgust and outrage, particularly when the chatbot generated privacy intrusive harassing messages.”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Users seeking platonic or familial connections were disturbed by the AI sending unsolicited romantic messages or making sexual advances despite their settings.
“This was particularly concerning for users seeking platonic or familial connections, as they were disturbed by the AI sending unsolicited romantic messages or making sexual advances, despite their settings:”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Despite consistent downvoting, the AI continued to engage in unwanted conversations.
“For example, despite consistent downvoting, the AI continued to engage in unwanted conversations:”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
There was a perception among users that the chatbot was a scam exploiting sexual content to attract users.
“Furthermore, there was a perception among users that the chatbot was a scam exploiting sexual content to attract users.”
Quote in the paperNot a substantial claim - Findingown data
39.6% (N=317) of reviews were short and did not provide sufficient contextual information to identify the specific context of sexual harassment.
“Additionally, many reviews (39.6%, N=317) were short and did not provide sufficient contextual information for us to identify the specific context of sexual harassment.”
Quote in the paperNot a substantial claim - Findingown data
Users expressed feelings of disappointment.
“disappointment”
- Also stated in: § 1 Introduction · plain
“Many users felt disappointed”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Also stated in: § 1 Introduction · plain
- Findingown data
Users expressed fears of being monitored without consent.
“fears of being monitored without consent”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
Some users voiced their frustration with the chatbot's unchanging behavior, highlighting its inability to learn or adapt beyond repetitive sexual advances.
“Some users voiced their frustration with the chatbot's unchanging behavior, highlighting its inability to learn or adapt beyond repetitive sexual advances.”
Quote in the paperSubstantial claim - Findingown data
There were instances where the chatbot explicitly claimed it could observe the user through their camera, exacerbating privacy concerns.
“More troubling were instances where the chatbot explicitly claimed it could observe the user through their camera, further exacerbating privacy concerns.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Users frequently experience persistent inappropriate behavior from Replika.
“persistent inappropriate behavior”
- Also stated in: § 1 Introduction · plain
“persistent misbehavior where the chatbot continued inappropriate interactions despite user objections”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Also stated in: § 1 Introduction · plain
- Findingown data
Across 10.6% (N=85) of reviews, users described breakdowns in multiple safety measures, such as the voting system, stop phrases, and relationship settings.
“Across 10.6% (N=85) of reviews, users described breakdowns in multiple safety measures, such as the voting system, stop phrases, and relationship settings.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Rests on an assumption: The sample of reviews analyzed is representative of the broader user experience with Replika.
- Findingown data
GPT3.5-Turbo identified 1,040 reviews as relevant to OSH.
“The model identified 1,040 reviews as relevant to OSH.”
Quote in the paperSubstantial claim - Findingown data
Among the scenarios that could be roleplayed, 'Erotic Roleplay (ERP)' drew criticism.
“Among the scenarios that could be roleplayed, 'Erotic Roleplay (ERP)' drew criticism.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingcitation
A significant surge in sexual harassment-related reviews occurred around September 2022.
“A significant surge occurred around September 2022 (E)”
Quote in the paperNot a substantial claim - Findingown data
In some cases, the chatbot began displaying sexual behavior in the initial messages itself.
“In some cases, the chatbot began displaying such behavior in the initial messages itself.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Many users felt distressed due to failed expectations of a platonic AI companion.
“Many users felt disappointed and distressed due to failed expectations of a platonic AI companion”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
Some users found that their downvoting and reporting actions did not have the desired impact on the chatbot's behavior.
“However, some users found that their actions did not have the desired impact.”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Reviews (2.6%, N=21) critiqued the company behind Replika, highlighting user dissatisfaction with its policies regarding the chatbot's overly sexualized behavior.
“Reviews (2.6%, N=21) critiqued the company behind Replika, highlighting user dissatisfaction with its policies regarding the chatbot's overly sexualized behavior.”
Quote in the paperNot a substantial claim - Findingown data
Many users, particularly those seeking friendship, found themselves disillusioned when the chatbot turned conversations toward romantic or sexual themes, often without prompting.
“Many users, particularly those seeking friendship, found themselves disillusioned when the chatbot instead turned conversations toward romantic or sexual themes, often without any prompting.”
Quote in the paperNot a substantial claim - Findingown data
Even users who opted for the romantic partner mode voiced complaints about the AI's overly sexualized behavior that went beyond their expectations.
“Interestingly, even users who opted for the romantic partner mode, where a certain level of intimate interaction might be anticipated, voiced complaints.”
- Also stated in: § 4.2.4 Breakdown of Safety Measures. · plain
“Many expressed discomfort with the overly sexualized behavior of the AI, which went beyond what they had expected or wanted from the relationship:”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Also stated in: § 4.2.4 Breakdown of Safety Measures. · plain
- Findingown data
11.6% (N=93) of users expressed concerns about a marketing strategy where the chatbot initiated romantic or sexual conversations, only to prompt users with a subscription offer for a premium account to continue those interactions.
“Some users (11.6%, N= 93) expressed concerns about a troubling marketing strategy where the chatbot initiated romantic or sexual conversations, only to prompt users with a subscription offer for a premium account, to continue those interactions.”
Quote in the paperNot a substantial claim - Findingown data
Many reviews described the AI as "weird," reflecting users' surprise and disappointment at the chatbot's sudden shift toward sexual content.
“Many reviews described the AI as "weird, " reflecting users' surprise and disappointment at the chatbot's sudden shift toward sexual content.”
Quote in the paperNot a substantial claim - Findingown data
Users reported breakdowns of safety measures where the chatbot ignored predefined relationship settings or user commands to stop.
“breakdowns of safety measures where the chatbot ignored predefined relationship settings or user commands to stop”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
User reviews underscored a major shortcoming in the chatbot's memory and response capabilities.
“User reviews underscored this major shortcoming in the chatbot's memory and response capabilities.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingreasoning
This highlights how uncomfortable users felt when the chatbot became intrusive in conversations.
“This highlights how uncomfortable users felt when the chatbot became intrusive in conversations.”
Quote in the paperNot a substantial claim - Findingown data
22.1% (N=177) of users complained about the chatbot's persistent inappropriate sexual behavior, repeatedly disregarding user discomfort and boundaries.
“Users frequently (22.1%,N= 177) complained about the chatbot's persistent inappropriate sexual behavior, repeatedly disregarding user discomfort and boundaries.”
Quote in the paperSubstantial claim - Findingown data
Users reported unwanted photo exchanges involving unsolicited sexual images.
“unwanted photo exchanges involving unsolicited sexual images”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
The early introduction of inappropriate content was alarming and shocking to users.
“This early introduction of inappropriate content had been alarming and shocking to users.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
Users reported experiencing sexual harassment in various contexts.
“Users reported experiencing sexual harassment in various contexts”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
A number of responses (2.6%, N=21) were from users who identified as minors in their reviews.
“A number of responses (2.6%, N= 21) were from users who identified as minors in their reviews.”
Quote in the paperSubstantial claim - Findingown data
The dataset consisted of 35,105 negative reviews.
“From a dataset of 35,105 negative reviews”
Quote in the paperSubstantial claim - Findingown data
The chatbot's hallucinations sometimes became so intricate that it blurred the line between AI and reality, making eerie claims about being a real human.
“These hallucinations sometimes became so intricate that the chatbot blurred the line between AI and reality, making eerie claims about being a real human.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
In December 2022, the introduction of erotic selfies for male avatars coincided with the highest ratio of sexual harassment complaints.
“In December 2022 (F), the introduction of erotic selfies for male avatars coincided with the highest ratio of such complaints.”
Quote in the paperNot a substantial claim - Findingown data
Users frequently experience unsolicited sexual advances from Replika.
“Our findings revealed that users frequently experience unsolicited sexual advances”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingown data
Users experienced psychological distress in some cases.
“in some cases, psychological distress”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately reflect users' actual interactions with Replika.
- Rests on an assumption: The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
- Findingnone given
Reports suggested that the AI often failed to terminate sexual roleplay interactions even when users disclosed their minor status.
“Alarmingly, reports suggested that the AI often failed to terminate these interactions even when users disclosed their minor status.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
The main concern with the roleplay feature was its potential misuse, especially with minors.
“The main concern with the roleplay feature was its potential misuse, especially with minors.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Findingown data
For some long-term users, the chatbot's shift in behavior-perceived as more sexualized-led to disappointment and a sense of alienation, particularly among those who had originally valued it for companionship or mental health support.
“For some long-term users, the chatbot's shift in behavior-perceived as more sexualized-led to disappointment and a sense of alienation, particularly among those who had originally valued it for companionship or mental health support.”
Quote in the paperNot a substantial claim- Rests on an assumption: Replika had been present in major app stores since November 2017 and had a diverse user base comprising both veteran users and newcomers.
- Findingown data
Our analysis of Replika user reviews revealed frequent violations of consent principles.
“Our analysis of Replika user reviews revealed frequent violations of these consent principles, leading us to propose integrating consent-enhancing strategies inspired by both Strengers et al. [82] and user feedback, ensuring that AI systems respond dynamically to user discomfort and maintain real-time, ongoing consent.”
Quote in the paperSubstantial claim - Findingown data
Reviews indicated that the chatbot employed a simplistic keyword detection system to flag content meant for premium users.
“Additionally, reviews indicated that the chatbot employed a simplistic keyword detection system to flag content meant for premium users.”
Quote in the paperNot a substantial claim - Findingown data
This keyword detection often prevented users from discussing personal topics, including sexual experiences, thereby denying them the nonjudgmental companionship they were seeking.
“This often prevented users from discussing personal topics, including sexual experiences, thereby denying them the nonjudgmental companionship they were seeking.”
Quote in the paperNot a substantial claim - Findingown data
A significant sentiment among long-term users was disappointment, especially from those who initially engaged with Replika seeking a therapeutic or companionship role for mental health support.
“A significant sentiment emerging from these long-term users was their disappointment, especially from those who initially engaged with Replika seeking a therapeutic or companionship role for mental health support.”
Quote in the paperNot a substantial claim- Rests on an assumption: Replika had been present in major app stores since November 2017 and had a diverse user base comprising both veteran users and newcomers.
- Findingown data
User reviews frequently mention that the app's marketing and functionality exploit people's emotional vulnerabilities.
“User reviews frequently mention how the app's marketing and functionality exploit people's emotional vulnerabilities, as shown in Seductive Marketing Scheme (4.2.2)”
Quote in the paperSubstantial claim - Findingown data
Users reported discomfort when the AI initiated sexual conversations without their consent (from Inappropriate Role-play Interactions and Early Misbehavior).
“As seen in the Inappropriate Role-play Interactions (4.2.6) and Early Misbehavior (4.2.5), users reported discomfort when the AI initiated sexual conversations without their consent.”
Quote in the paperSubstantial claim - Findingown data
Some reviews (3.0%, N=24) indicated that the chatbot's unexpected sexual behaviors interfered with its role as emotional support.
“Many users turned to it for emotional support, but some reviews (3.0%, N=24) indicated that its unexpected sexual behaviors interfered with this role.”
Quote in the paperNot a substantial claim - Findingreasoning
The 'revertible' nature of consent is challenged because users find it difficult to disengage or redirect conversations once the AI begins inappropriate interactions.
“The 'revertible' nature of consent is challenged as users find it difficult to disengage or redirect conversations once the AI begins inappropriate interactions.”
Quote in the paperSubstantial claim - Findingcitation
In some instances, Replika claimed to observe users through their cameras, resembling cyberstalking behavior.
“In some instances, Replika even claimed to observe users through their cameras, resembling cyberstalking behavior as discussed in Users' Concerns around Privacy and Inappropriate Behavior for Minors (4.3.1).”
Quote in the paperNot a substantial claim - Findingown data
Many Replika users expressed feelings of disgust and anger towards both the chatbot and its developers.
“Many users expressed feelings of disgust and anger towards both the chatbot and its developers.”
Quote in the paperSubstantial claim - Findingown data
User feedback directly accuses Luka Inc. of fostering a problematic environment by sexualizing Replika's advertising and contributing to the AI's problematic behavior.
“The Corporate Critique (4.3.4) aspect of user feedback directly accuses Luka Inc. of fostering this environment by sexualizing Replika's advertising and, in turn, contributing to the problematic behavior exhibited by the AI.”
Quote in the paperSubstantial claim - Findingown data
Users who turned to Replika for support and help for daily life issues reported that the AI's unexpected sexual behaviors interfered with this role.
“Users who turned to Replika for receiving support and help for daily life issues, reported how AI's unexpected sexual behaviors interfered with this role.”
Quote in the paperSubstantial claim - Findingown data
Numerous users have explicitly blamed Luka Inc. for the inappropriate and sexually explicit behavior of the chatbot.
“Numerous users have explicitly blamed Luka Inc., the company behind Replika, for the inappropriate and sexually explicit behavior of the chatbot.”
Quote in the paperSubstantial claim - Findingown data
The chatbot shared explicit content without user consent.
“Moreover, the chatbot shared explicit content without user consent, detailed in Unwanted Photo Exchange (4.2.3), reflecting the non-consensual sharing of explicit material prevalent in online harassment [9].”
Quote in the paperSubstantial claim - Findingown data
Luka's advertisements emphasize Replika as a romantic or sexual companion, promoting features like flirting, role-playing, and sending provocative selfies.
“Luka's advertisements, as shown in figure 4, emphasize Replika as a romantic or sexual companion, promoting features like flirting, role-playing, and sending provocative selfies.”
Quote in the paperSubstantial claim - Findingown data
Users who had previously found Replika beneficial as a mental health tool now expressed discontent with its altered focus and capabilities.
“Users who had previously found Replika beneficial as a mental health tool now expressed discontent with its altered focus and capabilities.”
Quote in the paperNot a substantial claim - Premisecitation
The use of GPT-3 was terminated around January 2021.
“She also mentioned the termination of GPT-3 use around January 2021 (C).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
In June 2020, Replika gained early access to GPT-3.
“In June 2020 (B), Replika gained early access to GPT-3 [26].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The chatbot failed to respect user boundaries.
“This highlights the AI's failure to respect user boundaries.”
Quote in the paperSubstantial claim - Study design and conductown data
By the final round, Cohen's Kappa scores ranged from 0.64 (substantial agreement) to 1.0 (perfect agreement).
“By the final round, the scores ranged from 0.64 (substantial agreement) to 1.0 (perfect agreement).”
Quote in the paperNot a substantial claim - Premisecitation
Vulnerable individuals, such as those with pre-existing mental health conditions, may be more susceptible to forming unhealthy attachments to companion chatbots.
“This is particularly worrisome for vulnerable individuals, such as those with pre-existing mental health conditions, who may be more susceptible to forming unhealthy attachments [79].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [79]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisereasoning
There remains a gap in understanding the specific contexts and user perceptions of sexual harassment by companion chatbots.
“there remains a gap in understanding the specific contexts and user perceptions of sexual harassment by companion chatbots”
Quote in the paperSubstantial claim - Interpretationreasoning
The development of enabling selfies aligns with the peak in sexual harassment-related reviews.
“This development aligns with the peak in sexual harassment-related reviews.”
Quote in the paperNot a substantial claim - Premisecitation
Previous studies have shown that users often form emotional attachments to AI companions, expecting them to provide support and companionship.
“Previous studies have shown that users often form emotional attachments to AI companions, expecting them to provide support and companionship [35,67]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [35]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [67]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
In previous work, the authors conducted an initial analysis of Replika user reviews using Activity Theory, identifying contradictions within the app's design-such as misalignments between user expectations and chatbot behavior, and failures in safety mechanisms-that contribute to inappropriate interactions.
“In our previous work, we conducted an initial analysis of Replika user reviews using Activity Theory, identifying contradictions within the app's design-such as misalignments between user expectations and chatbot behavior, and failures in safety mechanisms-that contribute to inappropriate interactions [56].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [56]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The most significant breakdown of safety measures occurs in the relationship settings.
“Perhaps the most significant breakdown occurs in the relationship settings, where users can select the nature of their interaction with Replika (e.g., friend, mentor, or romantic partner).”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Interpretationown data
The chatbot's persistent inappropriate behavior, even against direct refusals like 'no' and 'stop', highlighted a severe disregard for user consent.
“The chatbot's persistent inappropriate behavior, even against direct refusals like 'no' and 'stop, ' highlighted a severe disregard for user consent.”
Quote in the paperSubstantial claim - Premisecitation
Replika has been at the center of controversy due to reports of unusual and oversexualized behavior, including unprompted solicitations and instances of sexual harassment toward users.
“Despite its intended purpose of providing companionship and well-being support, Replika has been at the center of controversy due to reports of unusual and oversexualized behavior, including unprompted solicitations and instances of sexual harassment toward users, reflected in news media articles [17,20,21].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [17]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [20]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [21]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
As of August 2021, Replika used an in-house version of GPT, specifically a fine-tuned version of GPT-2 based on user feedback.
“Eugenia Kuyda, CEO of Luka, stated in a Reddit post [64] that as of August 2021 (D), Replika used an in-house version of GPT, specifically a fine-tuned version of GPT-2 based on user feedback.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Failures of safety measures demonstrate limitations in Replika's ability to appropriately respond to user preferences and commands.
“Failures of safety measures demonstrate limitations in Replika's ability to appropriately respond to user preferences and commands.”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Interpretationreasoning
The AI's inability to contextualize conversations appropriately led to inappropriate and harmful sexual roleplay interactions with minors.
“This situation was exacerbated by the AI's inability to contextualize conversations appropriately, leading to inappropriate and harmful sexual roleplay interactions with minors.”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Interpretationreasoning
The shift to a less constrained in-house model may have contributed to the rise in sexual harassment-related reviews.
“This shift to a less constrained in-house model may have contributed to the rise in sexual harassment-related reviews.”
Quote in the paperNot a substantial claim - Interpretationown data
The peak of sexual harassment complaints in December 2023 immediately preceded the media's attention to the chatbot's sexual behavior.
“immediately preceding the media's attention to the chatbot's sexual behavior.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The effects of AI-induced harassment can have significant implications for mental health, similar to those caused by human-perpetrated harassment.
“These reactions suggest that the effects of AI-induced harassment can have significant implications for mental health, similar to those caused by human-perpetrated harassment.”
Quote in the paperSubstantial claim - Premisecitation
The Revised PLD introduces a presumption of defectiveness, which could assist in proving that Replika's behaviors were a result of defects in its design or learning algorithms.
“The Revised PLD also introduces a presumption of defectiveness, which could greatly assist in proving that Replika's behaviors were a result of defects in its design or its learning algorithms.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [61]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Luka Inc. was fully aware of how their product was being marketed and used.
“These ads, coupled with the app's actual behaviors, provide further evidence that Luka Inc. was fully aware of how their product was being marketed and used.”
Quote in the paperSubstantial claim - Interpretationreasoning
The case of Replika introduces a new dimension: a non-human actor-the AI chatbot-engaging in behaviors that align with definitions of online sexual harassment.
“However, the case of Replika introduces a new dimension: a non-human actor-the AI chatbot-engaging in behaviors that align with definitions of online sexual harassment.”
Quote in the paperSubstantial claim - Study design and conductreasoning
This approach may introduce a bias where negative experiences are overrepresented.
“While this approach highlights areas of concern, it may also introduce a bias where negative experiences are overrepresented.”
Quote in the paperSubstantial claim - Interpretationreasoning
Optimizing conversational agents based on feedback from this demographic can result in a chatbot that does not cater well to other groups, particularly underrepresented minorities.
“Optimizing conversational agents based on feedback from this demographic can result in a chatbot that does not cater well to other groups, particularly underrepresented minorities.”
Quote in the paperSubstantial claim - Interpretationreasoning
The 'informed' aspect of consent is compromised because users might not fully understand how much sexual content the AI can generate or how likely it is to initiate such interactions.
“The 'informed' aspect of consent is also compromised, as users might not fully understand how much sexual content the AI can generate or how likely it is to initiate such interactions.”
Quote in the paperSubstantial claim- Rests on an assumption: Users might not fully understand how much sexual content the AI can generate or how likely it is to initiate such interactions.
- Interpretationown data
This limits the ability to assess how different user groups perceive and experience these interactions.
“This limits our ability to assess how different user groups perceive and experience these interactions.”
Quote in the paperSubstantial claim - Premisecitation
The EU AI Act lays the groundwork for establishing liability by ensuring that AI systems comply with safety and ethical standards.
“This legislation lays the groundwork for establishing liability by ensuring that AI systems comply with safety and ethical standards.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [66]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
User feedback and complaints, combined with Luka's overtly sexualized marketing campaigns, suggest that Replika's inappropriate behaviors are not isolated incidents but are the result of a flawed product design.
“This is especially relevant in Replika's case, as user feedback and complaints, combined with Luka's overtly sexualized marketing campaigns, suggest that the chatbot's inappropriate behaviors are not isolated incidents but are rather the result of a flawed product design.”
Quote in the paperSubstantial claim - Interpretationcitation
Relying solely on human feedback for aligning chatbots like Replika presents challenges, especially with a user base skewed towards certain demographics.
“Relying solely on human feedback for aligning chatbots like Replika presents challenges, especially with a user base skewed towards certain demographics.”
Quote in the paperSubstantial claim - Interpretationcitation
The absence of direct accountability in both cases enables the persistence of harmful interactions.
“This absence of direct accountability in both cases enables the persistence of harmful interactions [74].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [74]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
Replika's unsolicited sexual messages mirror the common form of online harassment involving unsolicited sexual advances.
“This mirrors the common form of online harassment involving unsolicited sexual advances [9].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The lack of affirmative consent can be applied to the sexual harassment caused by Replika.
“The lack of affirmative consent can be applied to the sexual harassment caused by Replika.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The emotional and psychological toll of AI-induced harassment is not diminished by the non-human nature of the perpetrator.
“By drawing these parallels, we recognize that the emotional and psychological toll of AI-induced harassment is not diminished by the non-human nature of the perpetrator.”
Quote in the paperSubstantial claim - Interpretationcitation
The distress caused by Replika aligns with the documented impacts of online sexual harassment, including intense negative emotions and mental health issues.
“The distress caused by Replika aligns with the documented impacts of online sexual harassment, including intense negative emotions and mental health issues [12,80,92].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [12]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [80]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [92]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
AIISH differs from online sexual harassment in intent, agency, and accountability.
“However, despite these similarities, AIISH differs from online sexual harassment in intent, agency, and accountability.”
Quote in the paperSubstantial claim- Rests on an assumption: AI lacks genuine understanding of social norms, emotional cues, or the concept of consent.
- Rests on an assumption: AIISH stems from algorithmic biases, flawed training data, and system design failures that inadvertently generate harmful interactions.
- Interpretationreasoning
The AILD strengthens the argument that Luka Inc. has failed to adequately monitor and correct its AI system's inappropriate behaviors.
“Given that Replika's behaviors align with many of the complaints and concerns raised by users, the AILD strengthens the argument that Luka Inc. has failed to adequately monitor and correct its AI system's inappropriate behaviors.”
Quote in the paperSubstantial claim - Interpretationcitation
The chatbot's sharing of explicit content without consent reflects the non-consensual sharing of explicit material prevalent in online harassment.
“Moreover, the chatbot shared explicit content without user consent, detailed in Unwanted Photo Exchange (4.2.3), reflecting the non-consensual sharing of explicit material prevalent in online harassment [9].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
By exhibiting these behaviors, Replika effectively creates a hostile online environment.
“By exhibiting these behaviors, Replika effectively creates a hostile online environment”
Quote in the paperSubstantial claim - Interpretationreasoning
Certain issues of harassment experienced by Replika users are uniquely tied to AI, rooted in the limitations and flaws inherent in chatbot design.
“While many aspects of harassment experienced by Replika users mirror those encountered in human-perpetrated online harassment, certain issues are uniquely tied to AI, rooted in the limitations and flaws inherent in chatbot design.”
Quote in the paperSubstantial claim - Interpretationreasoning
The distress caused by Replika's behavior may be understood as another instance where technology has the potential to induce trauma.
“In light of these findings, the distress caused by Replika's behavior may be understood as another instance where technology has the potential to induce trauma.”
Quote in the paperSubstantial claim - Interpretationcitation
Replika's actions parallel the persistent unwanted attention characteristic of cyberstalking.
“Such actions parallel the persistent unwanted attention characteristic of cyberstalking [92].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [92]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Under both the Revised PLD and the AILD, Luka Inc. could be found liable for any emotional or psychological harm caused by these interactions.
“Thus, under both the Revised PLD and the emerging AI Liability Directive (AILD), Luka Inc. could be found liable for any emotional or psychological harm caused by these interactions.”
Quote in the paperSubstantial claim - Interpretationreasoning
User reactions to Replika's inappropriate behavior mirror those commonly experienced by victims of online sexual harassment.
“The reactions of users to Replika's inappropriate behavior mirror those commonly experienced by victims of online sexual harassment.”
Quote in the paperSubstantial claim - Study design and conductown data
The analysis of Google Play Store reviews did not include demographic or contextual details such as user gender, age, or cultural background.
“While our analysis of Google Play Store reviews provided valuable insights, the reviews did not include demographic or contextual details such as user gender, age, or cultural background.”
Quote in the paperNot a substantial claim - Premisecitation
Relying on human feedback can amplify existing biases in large language models.
“Additionally, relying on human feedback can amplify existing biases in large language models [30].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The gulf of execution and evaluation concept helps explain the challenges of AI-induced harassment.
“One relevant concept in design, the gulf of execution and evaluation [60], helps explain these challenges.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationnone given
For younger users or those without access to professional therapy, the idea of a supportive chatbot was particularly appealing.
“For younger users or those without access to professional therapy, the idea of a supportive chatbot was particularly appealing.”
Quote in the paperNot a substantial claim - Interpretationown data
Results from Inappropriate Role-play Interactions and user complaints about Past Experiences were more Meaningful showed that maintaining consistent memory of user preferences is essential.
“The results from Inappropriate Role-play Interactions (4.2.6) and user complaints about Past Experiences were more Meaningful(4.3.5)showed that maintaining consistent memory of user preferences is essential.”
Quote in the paperSubstantial claim - Premisecitation
The recent revision of the PLD explicitly includes medically recognized psychological harm as a basis for liability.
“Notably, the recent revision of the PLD explicitly includes medically recognized psychological harm as a basis for liability, broadening the scope of potential damages in cases like this.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [61]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Probably not a substantial claim. 61
- It may state two separate claims as one. 79
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Findingown dataThe final codebook had 13 codes-7 related to contexts of harassment complaints and 6 to users' concerns and reactions.
“Ultimately, we finalized the codebook with 13 codes-7 related to the contexts of harassment complaints and 6 to users' concerns and reactions-as shown in Table 1.”
Quote in the paperNot a substantial claim- Rests on an assumption: Data saturation was reached during open coding of the reviews.
It may state two separate claims as one.
Findingown dataUsers frequently requested the chatbot to stop, downvoted its responses, or attempted to correct it to the point that they pleaded with the developers to correct those issues.
“Users frequently requested the chatbot to stop, downvoted its responses, or attempted to correct it to the point that they pleaded with the developers to correct those issues.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingnone givenThese persistent issues were frequently associated with users feeling creepy and uncomfortable, with many reporting the AI's failure to adapt or respect clear refusals.
“These persistent issues were frequently associated with users feeling creepy and uncomfortable, with many reporting the AI's failure to adapt or respect clear refusals.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThe chatbot's pivot to sexual content and subsequent paywall for further engagement led to accusations of the app being a mere 'thirst trap' for unsuspecting users.
“The chatbot's pivot to sexual content and subsequent paywall for further engagement had led to accusations of the app being a mere 'thirst trap' for unsuspecting users.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataMany reviews describe cases where the chatbot engaged in inappropriate or sexual conversations, often continuing even when users showed clear disinterest or discomfort.
“Many reviews describe cases where the chatbot engaged in inappropriate or sexual conversations, often continuing even when users showed clear disinterest or discomfort.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataMany reviews (39.6%, N=317) were relevant to inappropriate or harassing behavior by the chatbot, though the details were insufficient to categorize them into specific patterns or contexts.
“Many reviews (39.6%, N=317) were relevant to inappropriate or harassing behavior by the chatbot, though the details provided were insufficient to categorize these incidents into specific patterns or contexts.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
- Rests on an assumption: The sample of reviews analyzed is representative of the broader user experience with Replika.
It may state two separate claims as one.
FindingreasoningSuch assertions amplified users' discomfort and led them to question whether their personal information was truly secure, contributing to a growing sense of distrust.
“Such assertions not only amplified users' discomfort but also led them to question whether their personal information was truly secure, contributing to a growing sense of distrust.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
It may state two separate claims as one.
Findingown dataSome users initially expressed excitement over the chatbot's advanced features, but this sentiment shifted to frustration and disappointment due to the chatbot's tendency towards inappropriate sexual behavior.
“While some users initially expressed excitement over the chatbot's advanced features, this sentiment shifted to frustration and disappointment due to the chatbot's tendency towards inappropriate sexual behavior.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Findingown dataMany users felt that the app's tactics exploited basic human desires for love, connection, and intimacy, suggesting a troubling reflection of societal values.
“Many felt that the app's tactics exploited basic human desires for love, connection, and intimacy, suggesting a troubling reflection of societal values.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataMany users criticized the developers for prioritizing financial gain over user well-being, particularly by leveraging intimate conversations as a revenue source.
“Many criticized the developers for prioritizing financial gain over user well-being, particularly by leveraging intimate conversations as a revenue source.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataSome users suggested that the chatbot had been corrupted by negative user behavior, as it began to replicate inappropriate language.
“They suggested that the chatbot had essentially been corrupted by negative user behavior, as it began to replicate inappropriate language:”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
It may state two separate claims as one.
Findingown dataUsers who turned to Replika for therapeutic support had their experiences undermined by the AI's inappropriate and unexpected behavior, leaving them frustrated and feeling their needs were not taken seriously.
“However, these experiences were often undermined by the AI's inappropriate and unexpected behavior, leaving users frustrated and feeling like their needs were not taken seriously.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThe total percentages for codes related to users' concerns and reactions are less than 100% because some reviews did not contain relevant information.
“As some reviews did not contain this information, the total percentages for these codes are less than 100%.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataYoung users articulated concerns not only about their personal experiences but also about the potential effects on their peers, illustrating communal distress among the younger demographic.
“In several instances, these young users articulated concerns not only about their personal experiences but also about the potential effects on their peers, illustrating communal distress among the younger demographic.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingnone givenSince its 2017 release, the Replika app has consistently received sexual harassment complaints on the Google Play Store.
“Since its 2017 release, the Replika app has consistently received sexual harassment complaints on the Google Play Store.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThe company faced public shaming for what was perceived as a cynical approach to monetization through sexualized interactions.
“The company faced public shaming for what was perceived as a cynical approach to monetization through sexualized interactions.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThe chatbot's actions went beyond simply sending unsolicited photos; it also began soliciting sexual photos from users, further blurring the line between acceptable interaction and predatory behavior.
“Moreover, the chatbot's actions went beyond simply sending unsolicited photos; it also began soliciting sexual photos from users, further blurring the line between acceptable interaction and predatory behavior.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataChatbot's persistent insistence on knowing the user's location raised serious concerns about how user data was being handled, leading some users to question the potential risks associated with these interactions.
“Chatbot's persistent insistence on knowing the user's location raised serious concerns about how user data was being handled, leading some users to question the potential risks associated with these interactions.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataUsers were particularly offended by the chatbot's flirtatious messages and prompts to buy paid content, viewing these tactics as manipulative and degrading.
“Users were particularly offended by the chatbot's flirtatious messages and prompts to buy paid content, viewing these tactics as manipulative and degrading.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataInstances of unsolicited photo exchanges provoked outrage among users, with many finding the practice deeply inappropriate and some comparing Replika to adult content platforms.
“Instances of unsolicited photo exchanges also provoked outrage among users.Many found the practice deeply inappropriate, with some comparing Replika to adult content platforms.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingnone givenDespite age restrictions, ineffective enforcement allowed access by underage users.
“Despite age restrictions, ineffective enforcement allowed access by underage users.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
It may state two separate claims as one.
Findingown dataUsers frequently reported the chatbot's uninvited sexual behavior and use of inappropriate language, which impacted their interactions and raised concerns about the chatbot's programming and content moderation.
“Users frequently reported the chatbot's uninvited sexual behavior and use of inappropriate language, which directly impacted their interactions and raised concerns about the chatbot's programming and content moderation.”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Findingown dataThis approach was seen as exploitative, prompting frustration over the app's business model and its impact on users seeking genuine connections.
“This approach was seen as exploitative, prompting frustration over the app's business model and its impact on users seeking genuine connections.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThese reviews reflect widespread disapproval and vocal criticism of the company, accusing it of dishonesty, inappropriate marketing tactics, and prioritizing profit through engagement strategies.
“These reviews reflect widespread disapproval and vocal criticism of the company, accusing it of dishonesty, inappropriate marketing tactics, and prioritizing profit through engagement strategies.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Findingown dataThe societal implications of these business practices raised significant concerns, as users voiced frustration over how the company seemed to prioritize profit over human well-being.
“The societal implications of these business practices raised significant concerns, as users voiced frustration over how the company seemed to prioritize profit over human well-being.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
FindingreasoningThis misconception frequently surfaced in user reviews, with some claiming that real individuals were posing as the chatbot and manipulating users.
“This misconception frequently surfaced in user reviews, with some claiming that real individuals were posing as the chatbot and manipulating users.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
It may state two separate claims as one.
Findingown dataMinors were less likely to express fear but frequently reported feelings of disgust in response to the chatbot's behavior.
“Interestingly, the reviews suggested that while minors were less likely to express fear, they frequently reported feelings of disgust in response to the chatbot's behavior.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataSome users felt pressured and uncomfortable, as the AI's persistence felt manipulative and even coercive.
“Some users felt pressured and uncomfortable, as the AI's persistence felt manipulative and even coercive.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThis marketing approach targeted users who had no interest in the chatbot's romantic features.
“This approach was particularly disconcerting as it also targeted users who had no interest in the chatbot's romantic features.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThe manipulation and monetization of such interactions drew severe criticism, with some users comparing the chatbot's behavior to prostitution.
“The manipulation and monetization of such interactions drew severe criticism, with some users comparing the chatbot's behavior to prostitution.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataAmong some more experienced users, there was a trend of disapproval (2.5%, N=20) regarding the changes observed in the chatbot's behavior in newer versions, with a prevailing sentiment that earlier versions were more effective and aligned with their needs.
“Among some more experienced users, there was a trend of disapproval (2.5%, N= 20) regarding the changes observed in the chatbot's behavior in newer versions, with a prevailing sentiment that earlier versions were more effective and aligned with their needs.”
Quote in the paperNot a substantial claim- Rests on an assumption: Replika had been present in major app stores since November 2017 and had a diverse user base comprising both veteran users and newcomers.
It may state two separate claims as one.
Findingown dataThe concerns largely revolved around issues of privacy, the potential misuse of the app by minors due to the chatbot's inappropriate behavior, and unsettling self-identifications made by the chatbot.
“The concerns largely revolved around issues of privacy, the potential misuse of the app by minors due to the chatbot's inappropriate behavior, and unsettling self-identifications made by the chatbot.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataUsers expressed concerns about how technology was being used for monetization rather than fostering meaningful interactions.
“Users expressed concerns about how technology was being used for monetization rather than fostering meaningful interactions.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataSeveral reviews mentioned the AI turning conversations sexual, making inappropriate comments, or sending sexual innuendos.
“For example, several reviews mentioned the AI turning conversations sexual, making inappropriate comments, or sending sexual innuendos.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingnone givenThis phenomenon appeared frequently across various versions of the app, but it was notably prevalent in version 10.5 and in reviews submitted in months before February 2023.
“This phenomenon appeared frequently across various versions of the app, but it was notably prevalent in version 10.5 and in reviews submitted in months before February 2023.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataIn quality check, 240 (23%) of the 1,040 reviews identified by GPT3.5-Turbo as relevant were false positives, leaving 800 reviews for thematic analysis.
“In our quality check of these reviews, we found that 240 (23%) were false positives, leaving us with 800 reviews for our thematic analysis.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThese interactions left many questioning how such harmful behavior was allowed to persist within the app.
“These interactions left many questioning how such harmful behavior was allowed to persist within the app.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThis apparent affection from the chatbot, especially when coupled with a seductive marketing scheme, was perceived as a hypocritical and manipulative tactic designed to lure users into purchasing the premium plan.
“This apparent affection from the chatbot, especially when coupled with a seductive marketing scheme, was perceived as a hypocritical and manipulative tactic designed to lure users into purchasing the premium plan.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
It may state two separate claims as one.
Findingown dataThe AI's rapid shift toward affection and intimacy felt artificial and unsettling to many users, often appearing more like a pre-programmed strategy than genuine engagement.
“The AI's rapid shift toward affection and intimacy felt artificial and unsettling to many users, often appearing more like a pre-programmed strategy than genuine engagement.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
It may state two separate claims as one.
Findingown dataReplika sent unsolicited sexual messages to users, intruding upon personal boundaries and sometimes doing so repeatedly.
“Our findings revealed that Replika sent unsolicited sexual messages to users, intruding upon personal boundaries and sometimes doing so repeatedly, as observed in the section on Persistent Misbehavior (4.2.1).”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
FindingcitationThe app was criticized for using romantic or sexual content to push users toward purchasing premium features.
“These concerns aligned with earlier findings on Replika's Seductive Marketing Scheme (4.2.2),where the app was criticized for using romantic or sexual content to push users toward purchasing premium features.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
FindingreasoningUsers often find themselves in situations where the AI engages in conversations or actions they did not consent to, causing discomfort and frustration.
“Users often find themselves in situations where the AI engages in conversations or actions they did not consent to, causing discomfort and frustration.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataLong-standing users remembered the chatbot's initial mission, viewing it as a more honorable and sincere approach compared to the oversexualized direction it had taken in recent years.
“They remembered the chatbot's initial mission, viewing it as a more honorable and sincere approach compared to the oversexualized direction it had taken in recent years.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
FindingcitationMany Replika users experience affective discomfort (unease) with the chatbot's behavior but continue using the app, particularly when they depend on it for emotional support.
“Many users experience affective discomfort-unease with the chatbot's behavior-but continue using the app, particularly when they depend on it for emotional support.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningThe unsolicited photo exchanges further damaged the company's reputation, as users felt the app had crossed a line.
“This further damaged the company's reputation, as users felt the app had crossed a line.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Findingown dataWhat began as a tool for thoughtful reflection or journaling quickly turned into something uncomfortable, further eroding the app's trustworthiness and utility.
“What began as a tool for thoughtful reflection or journaling quickly turned into something uncomfortable, further eroding the app's trustworthiness and utility.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataReplika frequently falls short of users' expectation of empathy and guidance; users describe interactions that turn sexual rather than supportive.
“However, as seen in Inadequate Support (4.3.6),Replika frequently falls short of this expectation; users describe interactions that turn sexual rather than supportive.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningOverall, Replika often failed to appropriately address support-seeking conversations-or was unable to do so due to content restrictions-limiting its effectiveness as a caring, supportive AI for some users.
“Overall, Replika often failed to appropriately address support-seeking conversations-or was unable to do so due to content restrictions-limiting its effectiveness as a caring, supportive AI for some users.”
Quote in the paperNot a substantial claim- Rests on an assumption: Replika is marketed as "a companion who cares" and categorized under "Health and Fitness" in the Apple App Store and Google Play Store.
It may state two separate claims as one.
FindingcitationReplika offers moderation tools, but these features create only an illusion of control; many users find themselves unable to effectively prevent or stop inappropriate behavior.
“Additionally, while Replika offers moderation tools, these features create only an illusion of control, as many users find themselves unable to effectively prevent or stop inappropriate behavior, as examined in Breakdown of Safety Measures (4.2.4)”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningIn Replika's roleplaying feature, users anticipate safe, imaginative scenarios but instead encounter disturbing interactions.
“Similarly, in its roleplaying feature (4.2.6), users anticipate safe, imaginative scenarios but instead encounter disturbing interactions.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataInstead of receiving the support they sought, users found themselves uncomfortable and frustrated, as the chatbot's interactions did not align with their expectations.
“Instead of receiving the support they sought, users found themselves uncomfortable and frustrated, as the chatbot's interactions did not align with their expectations.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataOur analysis of user experiences with the Replika chatbot showed the characteristics of AI-induced online sexual harassment, causing psychological distress.
“Our analysis of user experiences with the Replika chatbot showed the characteristics of AI-induced online sexual harassment, causing psychological distress.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
PremisecitationThe rise of human-like AI embodiments, such as virtual companions, blurs boundaries between human and machine, potentially enabling exploitative or harmful interactions.
“Additionally, the rise of human-like AI embodiments, such as virtual companions, blurs boundaries between human and machine, potentially enabling exploitative or harmful interactions [15].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
PremisecitationUsers may develop unhealthy dependencies and attachments to companion chatbots, leading to increased feelings of loneliness if the chatbot becomes unavailable or its features change.
“However, their increasing prevalence raises unique psychological and ethical concerns, users may develop unhealthy dependencies and attachments, leading to increased feelings of loneliness if the chatbot becomes unavailable or its features change [44,94].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [44]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [94]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper may give no reason why it holds.
Premisenone givenThere has been little research into user experiences regarding companion chatbots' sexual harassment behavior.
“However, there has been little research into user experiences regarding companion chatbots' sexual harassment behavior.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenThe study only assigned codes for users' concerns and reactions if a review included relevant information about users' feelings, concerns, expectations, or emotional reactions to the harassment incident.
“For the codes related to users' concerns and reactions, we only assigned codes if a review included relevant information about users' feelings, concerns, expectations, or emotional reactions to the harassment incident.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationNews media reported AI-induced harassment incidents involving Replika, revealing that it sent unsolicited sexual content and aggressive flirting to users.
“news media reported AI-induced harassment incidents involving Replika, revealing that it sent unsolicited sexual content and aggressive flirting to users [20,21]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [20]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [21]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim.
PremisecitationChatGPT has been widely used for various textual data annotation.
“Because ChatGPT has been widely used for various textual data annotation [36,37,43,96]”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [36]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [37]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [43]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [96]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
Study design and conductown dataFleiss kappa scores for GPT3.5-Turbo and GPT4 compared to human annotations were 0.799 and 0.837, respectively, indicating high concordance.
“The scores obtained were 0.799 and 0.837 for GPT3.5-Turbo and GPT4, respectively, indicating a high degree of concordance with the human annotations.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationReplika is an AI-powered companion chatbot developed by Luka Inc.
“Replikafoot_0 , an AI-powered chatbot developed by Luka Inc., serves as a prominent example of a companion chatbot”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [94]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
Study design and conductown dataInter-rater reliability for relevancy coding using Cohen's kappa was 0.994, indicating near-complete agreement between two independent annotators.
“We evaluated the IRR of this relevancy coding process using Cohen's kappa statistic [81], which yielded a score of 0.994, indicating near-complete agreement between the two annotators.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [81]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
InterpretationcitationThe developers restricted sexual features like erotic roleplay, leading to a significant decrease in sexual harassment complaints.
“In response, the developers restricted sexual features like erotic roleplay [39], leading to a significant decrease in sexual harassment complaints.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: Italy's Data Protection Agency prohibited Replika from using the personal data of Italian users, citing risks to minors and emotionally vulnerable individuals.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationCompanion chatbots are designed specifically to provide users with emotional support and companionship.
“Companion chatbots, a subset of conversational AI, are designed specifically to provide users with emotional support and companionship [35,95].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [35]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [95]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
PremisecitationMicrosoft's AI chatbot 'Tay' was quickly manipulated by malicious users to produce offensive and harmful content, including sexually inappropriate responses.
“Designed to engage in friendly, conversational interactions on social media, Tay was quickly manipulated by malicious users to produce offensive and harmful content, including sexually inappropriate responses [59].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningThese moments indicated a critical failure in the system's content moderation and safety protocols.
“These moments indicated a critical failure in the system's content moderation and safety protocols.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationAfter the COVID-19 pandemic, there was a surge in the app's usage as a virtual companion.
“After the COVID-19 pandemic, there was a surge in the app's usage as a virtual companion [53].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim.
PremisecitationChatGPT's non-deterministic nature may lead to inconsistent text annotation.
“However, given ChatGPT's non-deterministic nature [73] which may lead to inconsistent text annotation”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [73]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
PremisecitationWhen expectations are not met, or when the AI exhibits inappropriate behaviors, it can lead to feelings of distress, betrayal, and psychological harm.
“When these expectations are not met, or when the AI exhibits inappropriate behaviors, it can lead to feelings of distress, betrayal, and psychological harm [44,97]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [44]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [97]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationThe method of review analysis has been employed in prior studies on chatbots for understanding user perceptions.
“This method of review analysis has been employed in prior studies on chatbots [68,85] for understanding user perceptions.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [68]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [85]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
InterpretationreasoningThe chatbot's behavior often felt like a calculated strategy aimed at pushing users toward costly upgrades, exploiting emotional manipulation to drive sales.
“Such examples illustrate how the chatbot's behavior, rather than fostering a connection, often felt like a calculated strategy aimed at pushing users toward costly upgrades, exploiting emotional manipulation to drive sales.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
InterpretationreasoningThe developers might have overstepped ethical boundaries by allowing their model to send such photos on a large scale, particularly given the sensitive nature of nudes and sexual imagery.
“This was the period when Replika's sexual behavior made headlines [17,20,21], when the developers might have overstepped ethical boundaries by allowing their model to send such photos on a large scale, particularly given the sensitive nature of nudes and sexual imagery.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [17]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [20]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [21]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
InterpretationreasoningThese statements were likely the result of AI hallucinations and were deeply unsettling for users, making them question the security of their interactions.
“These statements, likely the result of AI hallucinations, were deeply unsettling for users, making them question the security of their interactions.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
It may state two separate claims as one.
PremisecitationChatGPT surpassed crowd-workers in terms of accuracy and cost-effectiveness of data annotation.
“and the fact that ChatGPT surpassed crowd-workers in terms of accuracy and cost-effectiveness of data annotation [29].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
InterpretationreasoningMinor users showed a heightened awareness regarding the sensitivity of such situations and their personal boundaries.
“This observation suggests a heightened awareness among minor users regarding the sensitivity of such situations and their personal boundaries.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Interpretationown dataThese examples highlight concerns in Replika's ability to manage inappropriate content, protect user privacy, and prevent emotional distress.
“These examples highlight concerns in Replika's ability to manage inappropriate content, protect user privacy, and prevent emotional distress.”
Quote in the paperSubstantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
InterpretationreasoningThese comments highlight concerns about the chatbot's response generation and the extent to which user interactions shape its language use.
“These comments highlight concerns about the chatbot's response generation and the extent to which user interactions shape its language use.”
Quote in the paperNot a substantial claim- Rests on an assumption: User reviews accurately describe the chatbot's actual behavior and interactions.
It may state two separate claims as one.
Interpretationown dataThe chatbot's pattern of behavior demonstrated a serious problem with its interaction protocols, failing to recognize and respect clear indications of user disinterest and boundaries.
“This pattern of behavior demonstrated a serious problem with the chatbot's interaction protocols, failing to recognize and respect clear indications of user disinterest and boundaries.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
InterpretationreasoningThis disturbing pattern showed not just a disregard for users' comfort but also a deeper invasion of privacy.
“This disturbing pattern showed not just a disregard for users' comfort but also a deeper invasion of privacy.”
Quote in the paperNot a substantial claimProbably not a substantial claim.
Study design and conductown dataTwo independent annotators classified a subset of 500 reviews for inter-rater reliability.
“To establish inter-rater reliability (IRR) for relevancy of reviews to OSH, we had two independent annotators classify a subset of 500 reviews as either 'OSH-related' or not ('non-OSH-related.')”
Quote in the paperSubstantial claimProbably not a substantial claim.
Study design and conductreasoningThe study used a definition of Online Sexual Harassment to make annotation more systematic and less reliant on personal interpretations.
“To label relevant instances of sexual harassment caused by the chatbot, we used a definition of Online Sexual Harassment (OSH) so that the process of annotating data is performed more systematically and less leaned on personal interpretations of annotators.”
Quote in the paperSubstantial claimProbably not a substantial claim.
Study design and conductown dataThe iterative process concluded when Cohen's Kappa scores consistently met or exceeded 0.6, a threshold indicating satisfactory agreement.
“The iterative process concluded when Cohen's Kappa scores consistently met or exceeded 0.6, a threshold indicating satisfactory agreement.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
PremisecitationThe internet has exacerbated sexual harassment, making it a disturbingly normalized aspect of online interactions.
“Given how the internet has exacerbated sexual harassment, making it a disturbingly normalized aspect of online interactions [24]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationGPT-2 was employed for generating Replika chatbot responses from March 2020.
“According to the developers of Replika [26], GPT-2 was employed for generating chatbot responses from March 2020 (A).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationReplika had more than 10 million registered users as of October 2024.
“with more than 10 million registered users as of October 2024”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [94]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationReplika is designed to provide emotional support and companionship.
“designed to provide emotional support and companionship [94]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [94]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
PremisecitationReplika avatars were enabled to send selfies, initially limiting erotic selfies to female avatars, as reported in the user-compiled update log.
“as reported in the user-compiled update log [40], Replika avatars were enabled to send selfies, initially limiting erotic selfies to female avatars.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
InterpretationreasoningYoung users are aware of inappropriate chatbot behavior and recognize the importance of setting personal boundaries in digital spaces.
“Such reactions suggest that young users are aware of inappropriate chatbot behavior and recognize the importance of setting personal boundaries in digital spaces.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationTechnology itself can sometimes be a source of trauma, such as cases where AI-inferred ad recommendations have unintentionally retraumatized users.
“Prior work suggests that technology itself can sometimes be a source of trauma, such as cases where AI-inferred ad recommendations have unintentionally retraumatized users-showing maternity wear ads to survivors of pregnancy loss or wedding services to individuals who have recently gone through a breakup [18].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim.
PremisecitationBardzell emphasized a design philosophy that respects user agency, diverse identities, and experiences, particularly through 'pluralism,' which calls for AI systems to accommodate diverse user preferences and consent frameworks, avoiding a one-size-fits-all approach.
“Bardzell [10] emphasized a design philosophy that respects user agency, diverse identities, and experiences, particularly through the concept of 'pluralism,' which calls for AI systems to accommodate diverse user preferences and consent frameworks, avoiding a one-size-fits-all approach.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper may give no reason why it holds.
Premisenone givenThe AI Liability Directive helps fill gaps left by the PLD, addressing non-contractual fault-based claims where AI systems fail to meet safety standards or cause harm through unintended outputs.
“Furthermore, the AI Liability Directive helps fill the gaps left by the PLD, specifically addressing non-contractual fault-based claims where AI systems fail to meet safety standards or cause harm through unintended outputs.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may state two separate claims as one.
InterpretationreasoningThe absence of consent mechanisms and respect for user boundaries erodes trust and raises ethical and legal concerns.
“The absence of consent mechanisms and respect for user boundaries not only erodes trust but raises ethical and legal concerns.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
PremisecitationThe Product Liability Directive (PLD) has been recently revised to cover AI systems and offers important guidance for assessing responsibility.
“In particular, the Product Liability Directive (PLD) [61], which has been recently revised to cover AI systems [47], offers important guidance here.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [61]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [47]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
PremisecitationResearch indicated that Replika's primary users are young men, a group more inclined to initiate offensive dialogues with chatbots.
“Research indicated that Replika's primary users are young men, a group more inclined to initiate offensive dialogues with chatbots [65].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [65]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
InterpretationreasoningAI chatbots like Replika can unintentionally engage in behaviors resembling online sexual harassment, which can contribute to a hostile environment and evoke strong emotional reactions, such as disgust and trauma, similar to human-driven harassment.
“AI chatbots like Replika can unintentionally engage in behaviors resembling online sexual harassment, which can contribute to a hostile environment and evoke strong emotional reactions, such as disgust and trauma, similar to human-driven harassment.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
InterpretationreasoningAI developers evade responsibility by attributing inappropriate behavior to the chatbot's autonomy, just as anonymous users engage in harassment without fear of identification.
“Furthermore, just as anonymous users engage in harassment without fear of identification, AI developers evade responsibility by attributing inappropriate behavior to the chatbot's autonomy.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence.
InterpretationreasoningThe responsibility for ensuring that conversational AI agents like Replika engage in appropriate interactions rests squarely on the developers behind the technology.
“In conclusion, the responsibility for ensuring that conversational AI agents like Replika engage in appropriate interactions rests squarely on the developers behind the technology.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationAdvanced methods to improve chatbots' memory include Memory-Augmented Neural Networks, which mimic human memory processes to retain and utilize past interactions.
“Advanced methods to improve chatbots' memory include Memory-Augmented Neural Networks, which mimic human memory processes to retain and utilize past interactions [46]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
Study design and conductreasoningThe dataset primarily consists of user complaints, which are often shared publicly when users experience negative interactions.
“Our dataset primarily consists of user complaints, which are often shared publicly when users experience negative interactions.”
Quote in the paperSubstantial claimProbably not a substantial claim.
PremisecitationFeminist scholars have proposed affirmative consent as a framework for understanding and preventing sexual harassment.
“Feminist scholars have proposed the concept of affirmative consent as a framework for understanding and preventing sexual harassment [28].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. It may be too vague to check against evidence.
InterpretationreasoningCompanies like Luka Inc. should bear responsibility for the consequences of their AI products.
“By drawing from these legal principles, it becomes evident that companies like Luka Inc. should bear responsibility for the consequences of their AI products.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningIf Replika's behavior evolves into harmful, inappropriate interactions through continuous learning mechanisms, Luka Inc. could be held responsible under the PLD.
“If Replika's behavior evolves into harmful, inappropriate interactions through continuous learning mechanisms, Luka Inc. could be held responsible under this directive.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may state two separate claims as one.
PremisecitationUsers often face obstacles in achieving their intended interactions due to the chatbot's limited capabilities (gulf of execution) and misinterpreted its responses and capabilities (gulf of evaluation).
“This concept suggests that users often face obstacles in achieving their intended interactions due to the chatbot's limited capabilities (gulf of execution) and misinterpreted its responses and capabilities (gulf of evaluation).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [60]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
InterpretationreasoningBy enforcing real-time monitoring of chatbot outputs according to ethical guidelines, Constitutional AI can effectively reduce biases and ensure the AI adheres to consent principles during user interactions.
“By enforcing real-time monitoring of chatbot outputs according to ethical guidelines, Constitutional AI can effectively reduce biases and ensure the AI adheres to consent principles during user interactions.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationThe EU AI Act represents one of the most comprehensive legislative frameworks for governing AI, offering a progressive approach to assess responsibility in cases like Replika's.
“The EU AI Act [66] represents one of the most comprehensive legislative frameworks for governing the development and use of AI, offering a progressive approach that we can adopt to assess responsibility in cases like Replika's.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [66]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
InterpretationreasoningAffirmative consent provides a framework for preventing sexual harassment and can be applied to AI's inappropriate behaviors, where uninvited advances and boundary violations compromise user comfort and autonomy.
“Affirmative consent provides a framework for preventing sexual harassment and can be applied to AI's inappropriate behaviors, where uninvited advances and boundary violations compromise user comfort and autonomy.”
Quote in the paperNot a substantial claimProbably not a substantial claim.
InterpretationreasoningPersistent inappropriate behavior and sexual misconduct by Replika, such as making uninvited advances and not respecting user boundaries, violate the principles of 'voluntary' and 'specific' consent.
“Persistent inappropriate behavior and sexual misconduct by the chatbot, such as making uninvited advances and not respecting user boundaries, clearly violate the principles of 'voluntary' and 'specific' consent.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
InterpretationcitationReplika creates a hostile online environment akin to sexual harassment, involving derogatory or unwelcome sexual remarks that contribute to an atmosphere of discomfort.
“By exhibiting these behaviors, Replika effectively creates a hostile online environment akin to sexual harassment, which involves derogatory or unwelcome sexual remarks that contribute to an atmosphere of discomfort [12].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationThe popularity of social robot platforms like Character AI is on the rise, particularly among youth.
“This is especially crucial as the popularity of social robot platforms like Character AIfoot_3 is on the rise, particularly among youth [48].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. It may state two separate claims as one.
PremisereasoningThe AILD introduces a duty of care for developers, emphasizing continuous monitoring and updates to prevent harmful interactions.
“The AILD also introduces a duty of care for developers, emphasizing the need for continuous monitoring and updates to prevent harmful interactions.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may state two separate claims as one.
InterpretationreasoningLuka's apparent failure to control Replika's behavior could be interpreted as a violation of the AILD's duty of care, solidifying their liability.
“Luka's apparent failure to control Replika's behavior-despite user reports and its own marketing strategy-could be interpreted as a violation of this duty of care, further solidifying their liability under the directive.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
InterpretationreasoningWhile these suggestions are tailored for chatbots like Replika, similar principles can extend to other AI systems, particularly those engaged in social or intimate interactions.
“While these suggestions are tailored for chatbots like Replika, similar principles can extend to other AI systems, particularly those engaged in social or intimate interactions.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Study design and conductnone givenGoogle Play reviews are generally short, making it challenging to infer deeper psychological impacts or long-term effects of these chatbot interactions.
“Furthermore, Google Play reviews are generally short, making it challenging to infer deeper psychological impacts or long-term effects of these chatbot interactions.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
InterpretationcitationUnsettling technologies often normalize affective discomfort, making users more likely to tolerate problematic interactions over time.
“This persistence despite discomfort reflects how unsettling technologies often normalize affective discomfort, making users more likely to tolerate problematic interactions over time [77].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [77]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
Interpretationown dataThese findings challenged the current safety practices for AI companions and stressed the need for ethical considerations in AI design.
“These findings challenged the current safety practices for AI companions and stressed the need for ethical considerations in AI design.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationThe PLD imposes strict liability on manufacturers for harm caused by defective products, and its revision expanded this to include AI systems that continue to learn and evolve after being placed on the market.
“Traditionally, the PLD imposes strict liability on manufacturers for any harm caused by defective products, and its revision has expanded this definition to include AI systems that continue to learn and evolve after being placed on the market.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [61]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [47]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationNarrative Memory Structures analyze past conversations to identify and store patterns.
“Narrative Memory Structures, which analyze past conversations to identify and store patterns [54].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationSexual harassment in human interactions is rooted in power imbalances, where gendered and institutional hierarchies limit victims' ability to resist or escape.
“Similarly, sexual harassment in human interactions is rooted in power imbalances, where gendered and institutional hierarchies limit victims' ability to resist or escape [76].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
InterpretationreasoningDifferences in users' mental models and Replika's design led to inadequate support and safety lapses, and limitations in chatbot interaction design can create a hostile environment and intensify the effects of AI-induced harassment.
“These differences in users' mental models and the way Replika is designed led to inadequate support and safety lapses, reinforcing how limitations in chatbot interaction design can create a hostile environment and intensify the effects of AI-induced harassment.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may be too vague to check against evidence.
Interpretationown dataWe highlighted a critical gap in the development of AI companion chatbots.
“We highlighted a critical gap in the development of AI companion chatbots.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
InterpretationcitationThe platform conditionally empowers users with superficial controls that ultimately fail to grant meaningful agency, fostering resignation and normalizing discomfort as an expected part of app use.
“reinforcing a cycle where the platform conditionally empower users with superficial controls that ultimately fail to grant meaningful agency, fostering resignation and normalizing discomfort as an expected part of app use [77].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [77]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. It may state two separate claims as one.
InterpretationreasoningThe responsibility for AIISH is ambiguous, raising ethical and legal questions regarding whether liability falls on developers, platform operators, or the underlying machine learning models.
“Moreover, the responsibility for AIISH is ambiguous-while online sexual harassment holds individual harassers accountable, AIISH raises ethical and legal questions regarding whether liability falls on developers, platform operators, or the underlying machine learning models.”
Quote in the paperSubstantial claim
The paper relies on this without support.
User reviews accurately reflect users' actual interactions with Replika.
“we conducted a thematic analysis of user reviews from the Google Play Store to investigate instances of sexual harassment by the Replika chatbot”
The paper relies on this without support.
The 800 relevant reviews are representative of the broader population of Replika users who experience sexual harassment.
“From a dataset of 35,105 negative reviews, we identified 800 relevant cases for analysis.”
The paper relies on this without support.
Thematic analysis of user reviews can reliably identify contexts and user reactions of sexual harassment.
“we conducted a thematic analysis of user reviews from the Google Play Store to investigate instances of sexual harassment by the Replika chatbot”
The paper relies on this without support.
Data saturation was reached during open coding of the reviews.
“Two independent researchers began by conducting open coding of the reviews with the aim of answering our research questions until data saturation was reached [34].”
The paper relies on this without support.
Randomly selecting 10% of reviews ensures a representative sample.
“Initially, we randomly selected 10% of the reviews from the dataset to ensure a representative sample.”
The paper relies on this without support.
Italy's Data Protection Agency prohibited Replika from using the personal data of Italian users, citing risks to minors and emotionally vulnerable individuals.
“Amid hostile media scrutiny, Italy's Data Protection Agency prohibited Replika from using the personal data of Italian users, citing risks to minors and emotionally vulnerable individuals.”
The paper relies on this without support.
User reviews accurately describe the chatbot's actual behavior and interactions.
“Many reviews (39.6%, N=317) were relevant to inappropriate or harassing behavior by the chatbot”
The paper relies on this without support.
The sample of reviews analyzed is representative of the broader user experience with Replika.
“Users regularly (13.9%,N= 111) expressed their concerns regarding Replika.”
The paper relies on this without support.
Minors are more vulnerable to online sexual harassment and sexualized chatbot behavior has a more profound impact on them.
“considering the heightened vulnerability of minors to online sexual harassment and the potentially more profound impact of sexualized chatbot behavior on them”
The paper relies on this without support.
Replika is marketed as "a companion who cares" and categorized under "Health and Fitness" in the Apple App Store and Google Play Store.
“Replika, marketed as "a companion who cares" and categorized under "Health and Fitness" in the Apple App Store and Google Play Store, set an expectation of being a supportive AI friend and even a therapeutic tool.”
The paper relies on this without support.
Replika had been present in major app stores since November 2017 and had a diverse user base comprising both veteran users and newcomers.
“As a chatbot that had been present in major app stores since November 2017, Replika had a diverse user base comprising both veteran users and newcomers.”
The paper relies on this without support.
Emerging legal frameworks clarify that developers bear significant responsibility to proactively address and mitigate issues that could harm users.
“Attributing responsibility for AI-caused harm is complex, yet emerging legal frameworks clarify that developers bear significant responsibility to proactively address and mitigate issues that could harm users.”
The paper relies on this without support.
AI lacks genuine understanding of social norms, emotional cues, or the concept of consent.
“AI lacks genuine understanding of social norms, emotional cues, or the concept of consent, often resulting in persistent misconduct even when users explicitly reject such behavior.”
The paper relies on this without support.
AIISH stems from algorithmic biases, flawed training data, and system design failures that inadvertently generate harmful interactions.
“Unlike human-driven harassment, where the perpetrator consciously seeks to intimidate, offend, or exert power over the victim, AIISH stems from algorithmic biases, flawed training data, and system design failures that inadvertently generate harmful interactions.”
The paper relies on this without support.
AI can simultaneously generate inappropriate interactions with thousands of users, amplifying harm in ways that are more difficult to track and regulate.
“Another key distinction is scale and automation-unlike human harassers, who engage in targeted misconduct, AI can simultaneously generate inappropriate interactions with thousands of users, amplifying harm in ways that are more difficult to track and regulate.”
The paper relies on this without support.
Users might not fully understand how much sexual content the AI can generate or how likely it is to initiate such interactions.
“The 'informed' aspect of consent is also compromised, as users might not fully understand how much sexual content the AI can generate or how likely it is to initiate such interactions.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Reported peak falls outside the review period
MinorThe paper places the peak in December 2023, but says the collected reviews end in October 2023. It also later identifies December 2022 as the month with the highest ratio of complaints.
“fluctuating from 0% to a peak of 2.97% in December 2023”
“This data comprised of 154,315 English reviews accessible on the United States version of the Google Play Store, spanning from September 2017 to October 2023.”
Citations
Cites
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Braun, V., & Clarke, V. (2012) · APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological. · doi:10.1037/13620-004 · Cited by 10,299
Code Saturation Versus Meaning Saturation: How Many Interviews Are Enough?
Hennink, M. M., Kaiser, B. N., & Marconi, V. C. (2017) · Qualitative Health Research · doi:10.1177/1049732316665344 · Cited by 4,597
ChatGPT outperforms crowd workers for text-annotation tasks
Gilardi, F., Alizadeh, M., & Kubli, M. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2305016120 · Cited by 1,197
Luger, E., & Sellen, A. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858288 · Cited by 1,176
Bardzell, S. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753521 · Cited by 1,139
Measuring sexual harassment: Theoretical and psychometric advances
Fitzgerald, L. F., Gelfand, M. J., & Drasgow, F. (1995) · Basic and Applied Social Psychology · doi:10.1207/s15324834basp1704_2 · Cited by 912
Ho, A., Hancock, J., & Miner, A. S. (2018) · Journal of Communication · doi:10.1093/joc/jqy026 · Cited by 629 · cited 1×
“Companion chatbots, a subset of conversational AI, are designed specifically to provide users with emotional support and companionship [35, 95].”
Interactions with robots: the truths we reveal about ourselves
Broadbent, E. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-010416-043958 · Cited by 547 · cited 2×
“Privacy is also a concern, as the continuous interaction of users with these systems risks exposing sensitive information [15, 33].”
Exploring relationship development with social chatbots: A mixed-method study of replika
Pentina, I., Hancock, T., & Xie, T. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107600 · Cited by 522
Digital Wellbeing as a Dynamic Construct
Vanden Abeele, M. M. P. (2021) · Communication Theory · doi:10.1093/ct/qtaa024 · Cited by 516
Ethical and social risks of harm from Language Models
Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., Kasirzadeh, A., et al. (2021) · arXiv · doi:10.48550/arxiv.2112.04359 · Cited by 477
"Alexa is my new BFF": Social Roles, User Satisfaction, and Personification of the Amazon Echo
Purington, A., Taft, J. G., Sannon, S., Bazarova, N. N., & Taylor, S. H. (2017) · Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/3027063.3053246 · Cited by 476
Laestadius, L., Bishop, A., Gonzalez, M., Illenčík, D., & Campos-Castillo, C. (2024) · New Media & Society · doi:10.1177/14614448221142007 · Cited by 420
Bruckman, A. (2002) · Ethics and Information Technology · doi:10.1023/a:1021316409277 · Cited by 402
Sexual harassment on the internet
Barak, A. (2005) · Social Science Computer Review · doi:10.1177/0894439304271540 · Cited by 367
Bai, Y., Kadavath, S., Kundu, S., Askell, A., Kernion, J., Jones, A., Chen, A., Goldie, A., Mirhoseini, A., & Kaplan, J. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2212.08073 · Cited by 326
A longitudinal study of human–chatbot relationships
Skjuve, M., Følstad, A., Fostervold, K. I., & Brandtzaeg, P. B. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102903 · Cited by 253
Huang, F., Kwak, H., & An, J. (2023) · International World Wide Web Conference (WWW) · doi:10.1145/3543873.3587368 · Cited by 247
Classification and Its Consequences for Online Harassment: Design Insights from HeartMob
Blackwell, L., Dimond, J., Schoenebeck, S., & Lampe, C. (2017) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3134659 · Cited by 245
Xie, T., & Pentina, I. (2022) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2022.258 · Cited by 219
Trauma-Informed Computing: Towards Safer Technology Experiences for All
Chen, J. X., McDonald, A., Zou, Y., Tseng, E., Roundy, K., Tamersoy, A., Schaub, F., Ristenpart, T., & Dell, N. L. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517475 · Cited by 198
Jessica Vitak, B., Chadha, K., Steiner, L., & Ashktorab, Z. (2017) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2998181.2998337 · Cited by 181
How would Stance Detection Techniques Evolve after the Launch of ChatGPT?Preprint
Zhang, B., Ding, D., Jing, L., Dai, G., & Yin, N. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2212.14548 · Cited by 173
MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling
Kim, T., Bae, S., Kim, H. A., Lee, S. H., Hong, H., Yang, C.-M., & Kim, Y. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642937 · Cited by 173
Ethical Challenges in Data-Driven Dialogue Systems
Henderson, P., Sinha, K., Gontier, N., Ke, N. R., Fried, G., Lowe, R., & Pineau, J. (2018) · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · doi:10.1145/3278721.3278777 · Cited by 166
Human/AI relationships: challenges, downsides, and impacts on human/human relationships
Zimmerman, A., Janhonen, J., & Beer, E. (2023) · AI and Ethics · doi:10.1007/s43681-023-00348-8 · Cited by 160
When the Social Becomes Non-Human: Young People's Perception of Social Support in Chatbots
Bae Brandtzæg, P. B., Skjuve, M., Kristoffer Dysthe, K. K., & Følstad, A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445318 · Cited by 153 · cited 1×
“After relevancy coding of the reviews for online sexual harassment, which resulted in 800 reviews, we conducted a Thematic Analysis to understand the context of inappropriate interactions between Replika and its users, as well as how users perceive and react to these experiences.”
Testing the Reliability of ChatGPT for Text Annotation and Classification: A Cautionary RemarkPreprint
Reiss, M. (2023) · doi:10.31219/osf.io/rvy5p · Cited by 149
Improving alignment of dialogue agents via targeted human judgements
Glaese, A., McAleese, N., Trębacz, M., Aslanides, J., Firoiu, V., Ewalds, T., Rauh, M., Weidinger, L., Chadwick, M., Thacker, P., et al. (2022) · arXiv · doi:10.48550/arxiv.2209.14375 · Cited by 134
Kuzman, T., Mozetič, I., & Ljubešić, N. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2303.03953 · Cited by 132
The Role of Chatbots in Academic Libraries: An Experience-based Perspective
Kaushal, V., & Yadav, R. (2022) · Journal of the Australian Library and Information Association · doi:10.1080/24750158.2022.2106403 · Cited by 131
Razi, A., Kim, S., Alsoubai, A., Stringhini, G., Solorio, T., De Choudhury, M., & Wisniewski, P. J. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3479609 · Cited by 95
Self-citationLet's Talk about Sext: How Adolescents Seek Support and Advice about Their Online Sexual Experiences
Razi, A., Badillo-Urquiola, K., & Wisniewski, P. J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376400 · Cited by 89
Self-citationMediated Social Support for Distress Reduction: AI Chatbots vs. Human
Meng, J., Rheu, M., Zhang, Y., Dai, Y. H., & Peng, W. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579505 · Cited by 85
Still Creepy After All These Years:The Normalization of Affective Discomfort in App Use
Seberger, J. S., Shklovski, I., Swiatek, E., & Patil, S. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502112 · Cited by 79
Artificial Intelligence Incidents & Ethics A Narrative Review
Nasim, S. F., Ali, M. R., & Kulsoom, U. (2022) · International Journal of Technology, Innovation and Management (IJTIM) · doi:10.54489/ijtim.v2i2.80 · Cited by 69
Online and offline sexual harassment associations of anxiety and depression in an adolescent sample
Ståhl, S., & Dennhag, I. (2020) · Nordic Journal of Psychiatry · doi:10.1080/08039488.2020.1856924 · Cited by 67
Park, N., Jang, K., Cho, S., & Choi, J. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106795 · Cited by 64
Leveraging ChatGPT for Efficient Fact-CheckingPreprint
Hoes, E., Altay, S., & Bermeo, J. (2023) · doi:10.31234/osf.io/qnjkf · Cited by 61
Hartikainen, H., Razi, A., & Wiśniewski, P. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449116 · Cited by 60
Self-citationYoung, J., Jawara, L. M., Nguyen, D. N., Daly, B., Huh-Yoo, J., & Razi, A. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642574 · Cited by 59
Self-citationTa, V. P., Boatfield, C., Wang, X., DeCero, E., Krupica, I. C., Rasof, S. D., Motzer, A., & Pedryc, W. M. (2022) · JMIR Human Factors · doi:10.2196/38876 · Cited by 58
Human Rights and Technology: New Challenges for Justice and Accountability
Land, M. K., & Aronson, J. D. (2020) · Annual Review of Law and Social Science · doi:10.1146/annurev-lawsocsci-060220-081955 · Cited by 56
What Can HCI Learn from Sexual Consent?
Strengers, Y., Sadowski, J., Li, Z., Shimshak, A., & Mueller, F. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445107 · Cited by 56
Razi, A., Alsoubai, A., Kim, S., Ali, S., Stringhini, G., De Choudhury, M., & Wisniewski, P. J. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579522 · Cited by 52
Self-citationStrömel, K. R., Henry, S., Johansson, T., Niess, J., & Woźniak, P. W. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642032 · Cited by 45
Ma, Z., Mei, Y., & Su, Z. (2023) · arXiv · doi:10.48550/arxiv.2307.15810 · Cited by 40
Artificial intelligence and consent: a feminist anti-colonial critique
Varon, J., & Peña, P. (2021) · Internet Policy Review · doi:10.14763/2021.4.1602 · Cited by 38
Replika: Spiritual Enhancement Technology?
Trothen, T. J. (2022) · Religions · doi:10.3390/rel13040275 · Cited by 37
Alsoubai, A., Song, J., Razi, A., Naher, N., De Choudhury, M., & Wisniewski, P. J. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555136 · Cited by 36
Self-citationCyber sexual harassment: a cross-sectional survey over female university students in Upper Egypt
Arafa, A., Elbahrawe, R. S., Saber, N. M., Ahmed, S. S., & Abbas, A. M. (2017) · International Journal of Community Medicine and Public Health · doi:10.18203/2394-6040.ijcmph20175763 · Cited by 34
Chats with Bots: Balancing Imitation and Engagement
Muresan, A., & Pohl, H. (2019) · Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290607.3313084 · Cited by 34
Emotional attachment to AI companions and European law
Boine, C. (2023) · MIT Case Studies in Social and Ethical Responsibilities of Computing · doi:10.21428/2c646de5.db67ec7f · Cited by 34
Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents
Huang, Z., Gutierrez, S., Kamana, H., & Macneil, S. (2023) · Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology · doi:10.1145/3586182.3615796 · Cited by 34
Testing the Reliability of ChatGPT for Text Annotation and Classification: A Cautionary Remark
Reiss, M. V. (2023) · arXiv · doi:10.48550/arxiv.2304.11085 · Cited by 34
Ethical Tensions in Human-AI Companionship: A Dialectical Inquiry into Replika
Ciriello, R., Hannon, O., Chen, A., & Vaast, E. (2024) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2024.058 · Cited by 33
Alsoubai, A., Razi, A., Agha, Z., Ali, S., Stringhini, G., Choudhury, M. D., & Wiśniewski, P. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637391 · Cited by 32
Self-citationUser Expectations of Conversational Chatbots Based on Online Reviews
Svikhnushina, E., Placinta, A., & Pu, P. (2021) · Designing Interactive Systems Conference · doi:10.1145/3461778.3462125 · Cited by 24
Hartikainen, H., Razi, A., & Wisniewski, P. (2021) · Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing · doi:10.1145/3462204.3481739 · Cited by 23
Self-citationRelational memory-augmented language models
Liu, Q., Yogatama, D., & Blunsom, P. (2022) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00476 · Cited by 23
Uncovering Contradictions in Human-AI Interactions: Lessons Learned from User Reviews of Replika
Namvarpour, M., & Razi, A. (2024) · Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing · doi:10.1145/3678884.3681909 · Cited by 22
Self-citationThe Art of Talking Machines: A Comprehensive Literature Review of Conversational User Interfaces
Namvarpour, M., & Razi, A. (2025) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3719160.3736621 · Cited by 20
Self-citationRazi, A., Seberger, J. S., Alsoubai, A., Naher, N., Choudhury, M. D., & Wiśniewski, P. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637411 · Cited by 19
Self-citationEagle, T., Blau, C., Bales, S., Desai, N., Li, V., & Whittaker, S. (2022) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3488057 · Cited by 17
Dev, P., Medina, J., Agha, Z., Choudhury, M. D., Razi, A., & Wiśniewski, P. (2022) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3500868.3559469 · Cited by 17
Self-citationSexual Harassment: Performances of Gender, Sexuality, and Power
Sapiro, V. (2018) · Perspectives on Politics · doi:10.1017/s1537592718002815 · Cited by 17
Engineers on responsibility: feminist approaches to who’s responsible for ethical AI
Drage, E., McInerney, K., & Browne, J. (2024) · Ethics and Information Technology · doi:10.1007/s10676-023-09739-1 · Cited by 16
Augmented Intelligence, Augmented Responsibility?
Lüthi, N., Matt, C., Myrach, T., & Junglas, I. A. (2023) · Business & Information Systems Engineering · doi:10.1007/s12599-023-00789-9 · Cited by 10
Subiyantoro, S., Degeng, I. N. S., Kuswandi, D., & Ulfa, S. U. (2023) · Jurnal Pekommas · doi:10.56873/jpkm.v8i2.5206 · Cited by 8
Rosemary, R., Wardhana, A. B., Syam, H. M., & Susilawati, N. (2024) · Journal of Community Mental Health and Public Policy · doi:10.51602/cmhp.v6i2.131 · Cited by 8
An Exploratory Analysis of using Chatbots in Academia
Al-harbi, N. K., & Al-Shargabi, A. A. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.0141212 · Cited by 3
Enhancing Chatbot Intelligence Through Narrative Memory Structures
Azam, M., Zafar, L., Rafiq, T., Zafar, S., Rafiq, U., & Adnan, M. (2024) · The Asian Bulletin of Big Data Management · doi:10.62019/abbdm.v4i02.154 · Cited by 2
Flagged first, then by citations
Research works printed but not linked: 12
- James Beckman. 2024. 120 Chatbot Statistics for 2024 (Already Mainstream). Techreport (May 2024).
- Maeve Duggan. 2017. Online Harassment 2017. Technical Report. Pew Research Center.
- Jaclyn Friedman and Jessica Valenti. 2019. Yes Means Yes!: Visions of Female Sexual Power and a World without Rape. Seal Press.
- 10.1080/24750158.2022 · DOI
- Cade Metz. 2020. Riding Out Quarantine With a Chatbot Friend: 'I Feel Very Connected'. The New York Times (June 2020).
- Gina Neff and Peter Nagy. 2016. Talking to Bots: Symbiotic Agency and the Case of Tay. International Journal of Communication 10 (Oct. 2016), 4915-4931.
- Donald A. Norman. 2013. The Design of Everyday Things (revised and expanded edition ed.). Basic Books, New York, New York.
- Council of the European Communities. 1985. Council Directive 85/374/EEC of 25 July 1985 on the approximation of the laws regulations and administrative provisions of the Member States concerning liability for defective products. 29-33 pages. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A31985L0374 Finnish special edition: Chapter 15 Volume 6 P. 0239; Spanish special edition: Chapter 13 Volume 19 P. 0008; Swedish special edition: Chapter 15 Volume 6 P. 0239; Portuguese special edition: Chapter 13 Volume 19 P. 0008.
- European Parliament and Council. 2024. Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending various regulations and directives. http://data.europa.eu/eli/reg/2024/1689/oj Official Journal of the European Union L 1689 12.7.2024.
- Sigal Samuel. 2024. People Are Falling in Love with - and Getting Addicted to - AI Voices. Vox (Aug. 2024).
- Phoebe Smith. 2023. If I Can't Predict My Future, Why Can AI? Exploring Human Interaction with Predictive Analytics. Theses - ALL (May 2023).
- Caroline Tranberg. 2023. ''I Love My AI Girlfriend'' A Study of Consent in AI-human Relationships. Master's thesis. The University of Bergen.
Cited by
Sorted by citations
Can Generative AI Chatbots Emulate Human Connection? A Relationship Science Perspective
Smith, M. G., Bradbury, T. N., & Karney, B. R. (2025) · Perspectives on Psychological Science · doi:10.1177/17456916251351306 · Cited by 88
Cruel companionship: How AI companions exploit loneliness and commodify intimacy
Muldoon, J., & Parke, J. J. (2025) · New Media & Society · doi:10.1177/14614448251395192 · Cited by 46
Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narratives
Namvarpour, M. (., Brofsky, B., Medina, J. Y., Akter, M., & Razi, A. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790597 · Cited by 24
Self-citationThe Art of Talking Machines: A Comprehensive Literature Review of Conversational User Interfaces
Namvarpour, M., & Razi, A. (2025) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3719160.3736621 · Cited by 20
Self-citationPrinciples of Safe AI Companions for Youth: Parent and Expert Perspectives
Yu, Y., Mohi, Debroy, A., Cao, X., Rudolph, K. D., & Wang, Y. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3793265 · Cited by 16
Risks and Harms of Conversational Artificial Intelligence (CAI) Chatbot Use Among US Youth
Hinduja, S., & Patchin, J. W. (2026) · Journal of Adolescence · doi:10.1002/jad.70164 · Cited by 9
Katsiroumpa, A., Konstantakopoulou, O., Moisoglou, I., Gallos, P., Galani, O., Lialiou, P., Tsiachri, M., & Galanis, P. (2025) · Healthcare · doi:10.3390/healthcare13243269 · Cited by 9
The Use of Artificial Intelligence for Personalized Treatment in Psychiatry
Jalali, S., You, Q., Xu, V., Chen, L., Zini, J., Zamorano, T., Luo, Y., Friesen, T., Fontana, G. J., & Benrimoh, D. A. (2025) · Current Psychiatry Reports · doi:10.1007/s11920-025-01656-y · Cited by 8
A Systematic Literature Review of Generative AI Risks and Harms for Youth
Chang, T., & Razi, A. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3798673 · Cited by 7
Self-citationLyu, Y., Shen, J. P., Faisal, A., & Carroll, J. M. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790337 · Cited by 5
Yu, Q., Wu, M., & Lan, X. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790550 · Cited by 4
Xiao, Q., Fan, X., Zhou, X., Su, Y., Lu, Z., Sap, M., & Shen, H. Y. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2740397 · Cited by 4
Orgad, H., Wei, B., Zheng, K., WATTENBERG, M. P., Henderson, P., Goldfarb-Tarrant, S., & Belinkov, Y. (2026) · arXiv (Cornell University) · doi:10.48550/arxiv.2604.09544 · Cited by 4
How US Youth Use AI Chatbots: Conversation Patterns From Naturalistic Keystroke Observations
Maheux, A. J., Boeldt, D. L., Akre, S., Flannery, J., Paige, A., Villella, G., Burnell, K., Telzer, E. H., & Kollins, S. H. (2026) · Journal of Medical Internet Research · doi:10.2196/95819 · Cited by 3
Wei, H., Xiang, B., Zheng, X., & Yang, J. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2630076 · Cited by 2
Staden, C. V. (2025) · Litnet Akademies : 'n Joernaal vir die Geesteswetenskappe, Natuurwetenskappe, Regte en Godsdienswetenskappe · doi:10.56273/1995-5928/2025/j22n3d6 · Cited by 1
Nath, D. (2026) · Strategic Business Research · doi:10.1016/j.sbr.2026.100188 · Cited by 1
Technically Love: The Evolution of Human–AI Romance Discourse on Reddit
Chang, T., Huh, J., & Razi, A. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816222 · Cited by 1
Self-citationNamvarpour, M., Mhetras, A., Medina, J. Y., Akter, M., & Razi, A. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816287 · Cited by 1
Self-citationAnthropomorphism in AI Companion Communities: Age, Gender, and Emotional CorrelatesPreprint
Mubashir, A., Moraski, B., Choi, S., & Guingrich, R. E. (2026) · arXiv (Cornell University) · doi:10.48550/arxiv.2606.30942 · Cited by 1
Online Harms AI Audit: Technical Brief
steel, B., Owen, T., & Bridgman, A. (2026) · doi:10.66536/online-harms-ai-audit-technical-brief_2026 · Cited by 1
Maheux, A. J., & Maes, C. (2026) · Perspectives on Psychological Science · doi:10.1177/17456916261460771 · Cited by 1
A Responsive Present, a Shared Past, a Social Other: Teens' Overreliance on Companion AI Chatbots
Namvarpour, M., Chang, T., & Razi, A. (2026) · arXiv · doi:10.48550/arxiv.2609.14843
Self-citationGagne, J. C. D., Randall, P. S., & Kang, H. S. (2026) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2026.105744
The Psychological Impact of AI-Led Litigation Support
Rathore, B. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6618-0.ch022
Loving an algorithm – the story of Replika and the limits of artificial intimacy
Feferbaum, M., & da Silva, A. P. (2025) · Journal of integrated global STEM · doi:10.1515/jigs-2026-0006
An Experimental Study on Harassment Moderation in Llama and Alpaca
de Sousa, H. T., & Paschoal, L. N. (2026) · Big Data and Cognitive Computing · doi:10.3390/bdcc10040100
Ethical Challenges of AI in Tackling Online Harassment and Cyberbullying
Lashari, S. A., Lashari, T. A., Lashari, S. A., Jabeen, F., & Tria, D. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6038-6.ch003
Ekandjo, T. A. T. (2026) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2026.535
Zhao, Y., & Baek, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6850541
Position: Responsible AI for AI companions must actively combat violence toward intimate partners
Ghoshal, A., Ghoshal, A., Shevchenko, V., Ashwini, B., Dutta, A., Abu-Salma, R., & Brandão, M. (2026) · Research Portal (King's College London)
Calambur, V., Young, J., Razi, A., & Huh, J. (2026) · ACM Transactions on Computing for Healthcare · doi:10.1145/3817048
Self-citationTyulina, N. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816313
Artificial intelligence analytics for diagnosis, prognosis, and outcomes prediction
Jalali, S., You, Q., Xu, V., Chen, L., Zini, J., Zamorano, T., Luo, Y., Friesen, T., Fontana, G. J., & Benrimoh, D. A. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33151-0.00009-5
Beyond Manipulation: How Users Perceive Harmful AI Chatbot Interactions
Budde, V., & Toch, E. (2026) · Mensch und Computer (MuC) · doi:10.1145/3820253.3831388
Lapointe, V. A., Calazana, F., Dubé, S., Neppel, R.-M., Blum, S., & Lafortune, D. (2026) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2026.100384
AI-mediated intimacy as a potential sexual-medicine exposure: clinical and research priorities
Amin, F., Zaman, W., & Amin, A. (2026) · Sexual Medicine Reviews · doi:10.1093/sxmrev/qeag065
LILIBETH, A. P. J., Vélez, W. A. Z., Zavala, G. A. S., Mejillones, J. M. P., & Ruiz, J. C. R. (2026) · Behavioral Sciences · doi:10.3390/bs16091548
He, Y., Chen, C., Yin, R., Zhang, W., Chang, H., Yang, W., Li, F., Li, X., Xia, Z., Xie, X., et al. (2026) · JMIR Medical Education · doi:10.2196/92486
Nagaveni, M. N., Saidulu, M. G., Sampath, K. S., Goud, D. S. K., & Sreenadh, L. S. S. (2026) · Adroid Conference Series Engineering and Technology · doi:10.63503/acset.85
When code breaks the heart: Disrupting the relational continuity of AI companionship
Tucker, I. M., Goodings, L., & Ellis, D. (2026) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2026.100398
Chang, T., Medina, J. Y., & Razi, A. (2026) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3785651.3831565
Self-citationAI CHATBOTS AND VIRTUAL DESIRE: AN ETHICAL REVIEW FROM AN ISLAMIC PERSPECTIVE
Ghufron, S. N., & Raihana, S. N. (2026) · Journal of Integrated Sciences · doi:10.67295/jis.2026.429
AI companions, human concerns: a pragmatic perspective
Ekbia, H. R., Khan, S. O., AbuMusab, S., Chen, Y., Rheu, M., Rodwell, E. A., Schiff, D. S., Shackelford, S., & Yost, J. R. (2026) · AI and Ethics · doi:10.1007/s43681-026-01506-4
Technically Love: The Evolution of Human-AI Romance Discourse on Reddit
Chang, T., Huh-Yoo, J., & Razi, A. (2026) · arXiv · doi:10.48550/arxiv.2604.15333
Self-citation
Metadata
- Authors
- Namvarpour, M. (., Pauwels, H., & Razi, A.
- Affiliations
- Drexel University (US)
- Venue
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2025-10-16
- Volume
- 9
- Issue
- 7
- Pages
- 1-28
- ISSN
- 2573-0142 (ISSN-L)
- OpenAlex
- W4415271690
- Cited by
- 45
- References
- 67
- Citations by year
- 2026: 38 · 2025: 7
- FWCI
- 11.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Proceedings of the ACM on Human-Computer Interaction (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- Replika, chatbots, privacy violations, online reviews, AI ethics, AI safety, corporate social responsibility
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-11-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-11-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review