Cited by 45Ethics and Social Impacts of AIAI in Service InteractionsSocial Robot Interaction and HRI

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 access
Namvarpour, Mohammad (Matt), Pauwels, Harrison, Razi, Afsaneh·2025·Proceedings of the ACM on Human-Computer Interaction

Abstract

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

Crossref · 10.1145/3757548

Cites

73 of 73 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

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.
  • 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 data

    The 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 data

    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.

    “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 claim
  • It may state two separate claims as one.

    Findingnone given

    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.

    “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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    The 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 claim
  • It may state two separate claims as one.

    Findingown data

    Many 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 claim
  • It may state two separate claims as one.

    Findingown data

    Many 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.

    Findingreasoning

    Such 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 data

    Some 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Findingown data

    Many 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Many 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Some 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 data

    Users 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    The 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 claim
  • It may state two separate claims as one.

    Findingown data

    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.

    “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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingnone given

    Since 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    The 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 claim
  • It may state two separate claims as one.

    Findingown data

    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.

    “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 claim
  • It may state two separate claims as one.

    Findingown data

    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.

    “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 claim
  • It may state two separate claims as one.

    Findingown data

    Users 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 claim
  • It may state two separate claims as one.

    Findingown data

    Instances 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 claim
  • It may state two separate claims as one.

    Findingnone given

    Despite 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 data

    Users 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 data

    This 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 claim
  • It may state two separate claims as one.

    Findingown data

    These 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Findingown data

    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.

    “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 claim
  • It may state two separate claims as one.

    Findingreasoning

    This 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 data

    Minors 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 claim
  • It may state two separate claims as one.

    Findingown data

    Some 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    This 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 claim
  • It may state two separate claims as one.

    Findingown data

    The 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 claim
  • It may state two separate claims as one.

    Findingown data

    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.

    “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 data

    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.

    “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 data

    Users 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 claim
  • It may state two separate claims as one.

    Findingown data

    Several 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 claim
  • It may state two separate claims as one.

    Findingnone given

    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.

    “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 claim
  • It may state two separate claims as one.

    Findingown data

    In 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    These 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 data

    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.

    “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 data

    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.

    “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 data

    Replika 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingcitation

    The 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 claim
  • It may state two separate claims as one.

    Findingreasoning

    Users 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Long-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 claim
  • It may state two separate claims as one.

    Findingcitation

    Many 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 claim
  • It may state two separate claims as one.

    Findingreasoning

    The 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Findingown data

    What 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 claim
  • It may state two separate claims as one.

    Findingown data

    Replika 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 claim
  • It may state two separate claims as one.

    Findingreasoning

    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.

    “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.

    Findingcitation

    Replika 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 claim
  • It may state two separate claims as one.

    Findingreasoning

    In 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 claim
  • It may state two separate claims as one.

    Findingown data

    Instead 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 claim
  • It may state two separate claims as one.

    Findingown data

    Our 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 claim
  • It may state two separate claims as one.

    Premisecitation

    The 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.

    Premisecitation

    Users 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 given

    There 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given

    The 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 claim
  • It may state two separate claims as one.

    Premisecitation

    News 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.

    Premisecitation

    ChatGPT 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 data

    Fleiss 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    Replika 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 data

    Inter-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.

    Interpretationcitation

    The 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.

    Premisecitation

    Companion 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.

    Premisecitation

    Microsoft'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.

    Interpretationreasoning

    These 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.

    Premisecitation

    After 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.

    Premisecitation

    ChatGPT'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.

    Premisecitation

    When 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.

    Premisecitation

    The 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.

    Interpretationreasoning

    The 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.

    Interpretationreasoning

    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.

    “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.

    Interpretationreasoning

    These 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.

    Premisecitation

    ChatGPT 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.

    Interpretationreasoning

    Minor 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 claim
  • It may state two separate claims as one.

    Interpretationown data

    These 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.

    Interpretationreasoning

    These 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 data

    The 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Interpretationreasoning

    This 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 claim
  • Probably not a substantial claim.

    Study design and conductown data

    Two 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 claim
  • Probably not a substantial claim.

    Study design and conductreasoning

    The 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 claim
  • Probably not a substantial claim.

    Study design and conductown data

    The 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 claim
  • It may state two separate claims as one.

    Premisecitation

    The 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.

    Premisecitation

    GPT-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.

    Premisecitation

    Replika 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.

    Premisecitation

    Replika 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.

    Premisecitation

    Replika 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.

    Interpretationreasoning

    Young 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    Technology 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.

    Premisecitation

    Bardzell 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 given

    The 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 claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Interpretationreasoning

    The 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 claim
  • It may state two separate claims as one.

    Premisecitation

    The 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.

    Premisecitation

    Research 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.

    Interpretationreasoning

    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.

    “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 claim
  • 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.

    Interpretationreasoning

    AI 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 claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Interpretationreasoning

    The 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    Advanced 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 conductreasoning

    The 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 claim
  • Probably not a substantial claim.

    Premisecitation

    Feminist 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.

    Interpretationreasoning

    Companies 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Interpretationreasoning

    If 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 claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Premisecitation

    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).

    “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.

    Interpretationreasoning

    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.

    “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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Premisecitation

    The 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.

    Interpretationreasoning

    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.

    “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 claim
  • Probably not a substantial claim.

    Interpretationreasoning

    Persistent 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 claim
  • It may state two separate claims as one.

    Interpretationcitation

    Replika 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.

    Premisecitation

    The 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.

    Premisereasoning

    The 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 claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Interpretationreasoning

    Luka'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 claim
  • 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.

    Interpretationreasoning

    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.

    “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 claim
  • Probably 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 given

    Google 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 claim
  • It may state two separate claims as one.

    Interpretationcitation

    Unsettling 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 data

    These 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 claim
  • It may state two separate claims as one.

    Premisecitation

    The 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.

    Premisecitation

    Narrative 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.

    Premisecitation

    Sexual 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.

    Interpretationreasoning

    Differences 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 claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Interpretationown data

    We 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 claim
  • It may state two separate claims as one.

    Interpretationcitation

    The 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.

    Interpretationreasoning

    The 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
121 of 121
  • 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.”
16 of 16

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

    Minor

    The 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.

1 of 1

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 12

  1. James Beckman. 2024. 120 Chatbot Statistics for 2024 (Already Mainstream). Techreport (May 2024).
  2. Maeve Duggan. 2017. Online Harassment 2017. Technical Report. Pew Research Center.
  3. Jaclyn Friedman and Jessica Valenti. 2019. Yes Means Yes!: Visions of Female Sexual Power and a World without Rape. Seal Press.
  4. 10.1080/24750158.2022 · DOI
  5. Cade Metz. 2020. Riding Out Quarantine With a Chatbot Friend: 'I Feel Very Connected'. The New York Times (June 2020).
  6. 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.
  7. Donald A. Norman. 2013. The Design of Everyday Things (revised and expanded edition ed.). Basic Books, New York, New York.
  8. 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.
  9. 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.
  10. Sigal Samuel. 2024. People Are Falling in Love with - and Getting Addicted to - AI Voices. Vox (Aug. 2024).
  11. Phoebe Smith. 2023. If I Can't Predict My Future, Why Can AI? Exploring Human Interaction with Predictive Analytics. Theses - ALL (May 2023).
  12. 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

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
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

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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.

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