Cited by 0Social Robot Interaction and HRIAI in Service InteractionsMedia and Digital Communication

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index; none of the 16 sources its claims cite is checked for support yet.

How Do Fans Use AI Social Chatbots? A Multi-Method Exploration of Fan Accounts

Open access
Lopez, Sydney C., Taylor, Laramie D.·2026·Behavioral Sciences

Abstract

In the present study, we employed qualitative and quantitative content analytic methods to explore how fans use social chatbots to engage with the object of their fandom. Drawing on theories of self-disclosure, the Computers Are Social Actors (CASA) paradigm, and parasocial relationships, we investigated motivations underlying chatbot use among fandom communities. Data consisted of 813 Reddit comments discussing Character.ai use. Using qualitative thematic analysis, n-gram collocation analysis, and dictionary-based text analysis, the study identified five primary motivations: fan facilitation, safe harbor, virtual social compensation, real-life (IRL) social contact, and entertainment. Findings indicated that Character.ai was used by fans to extend fandom experiences, engage in role-play and creative storytelling, seek emotional support, compensate for unmet social needs, and explore interests in a judgment-free environment. Evidence from the thematic and n-gram analyses suggested that fandom engagement and social motivations were identified by users as important drivers of use, while utilitarian functions also played a role. The findings highlight how social chatbots may be reshaping fan practices, parasocial engagement, and digitally mediated companionship. Findings are discussed in terms of the dual character of fan C.ai use, namely as a tool to both meet social needs and avoid social contact, with its potential benefits and hazards for fans engaging with social chatbots.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This multi-method content analysis of 813 Reddit comments about Character.ai identifies five motives for fan use: fan facilitation, safe harbor, virtual social compensation, IRL social contact, and entertainment. Findings suggest fans use persona-based chatbots both to extend fandom/parasocial engagement and to meet social needs while avoiding human contact.

Key findings

  • Thematic analysis of 813 comments yielded 25 recurring motives grouped into five overarching categories: Fan Facilitation, Safe Harbor, Virtual Social Compensation, In Real Life (IRL) Social Contact, and Entertainment.
  • N-gram collocation analysis found over 100 collocates with a z-score over 5; top collocates included “real peopl” (z = 23.571), “fiction charact” (z = 15.502), “real person” (z = 14.817), and “got curious” (z = 14.709).
  • Dictionary-based text analysis found parasocial attachment language in 0.159% of the text corpus, analogies in 2.55%, help-related utilitarian language in 0.4%, and fandom participation language in 1.4%.
  • The authors interpret Character.ai use as having a dual character: meeting social needs and avoiding social contact, with the absence of humans salient as both a safe harbor and a potentially isolating feature.

Methods

  • Qualitative and quantitative content analysis of 813 publicly viewable Reddit comments discussing Character.ai, collected November 2025–February 2026 by two undergraduate research assistants via purposive snowball sampling; comments had a mean length of 30.82 words, and most (782, or 96%) were posted in 2025.
  • Three analytic approaches: inductive reflexive thematic analysis following Braun and Clarke’s six-phase framework; n-gram collocation analysis using quanteda in RStudio with lambda and z-scores; and dictionary-based text analysis using Empath and GPT-5.3-generated dictionaries for parasocial attachment, analogy, fandom, and “help” for utilitarian language.

Limitations

  • Stated: the dictionary-based parasocial measure produced sparse results at odds with the thematic analysis, and the authors question whether it accurately identified parasocial language because the language used for parasocial and social relationships overlaps.
  • Stated: the sample was not designed to be representative, so results are not generalizable; using general Character.ai users across many communities also loses fandom-specific detail that could improve dictionary customization.
  • Evident: although collectors were not constrained by platform, the final sample consisted solely of Reddit comments and was purposively snowballed by fan-identified research assistants, so it reflects self-selected public discussions and cannot support prevalence or causal claims.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.3390/bs16091481

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 16 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    The study identified five primary motivations for fans' use of Character.ai: fan facilitation, safe harbor, virtual social compensation, real-life (IRL) social contact, and entertainment.

    “the study identified five primary motivations: fan facilitation, safe harbor, virtual social compensation, real-life (IRL) social contact, and entertainment.”
    Quote in the paperSubstantial claim
  • Findingown data

    Character.ai was used by fans to explore interests in a judgment-free environment.

    “Findings indicated that Character.ai was used by fans to extend fandom experiences, engage in role-play and creative storytelling, seek emotional support, compensate for unmet social needs, and explore interests in a judgment-free environment.”
    Quote in the paperSubstantial claim
  • Findingown data

    Character.ai was used by fans to compensate for unmet social needs.

    “Findings indicated that Character.ai was used by fans to extend fandom experiences, engage in role-play and creative storytelling, seek emotional support, compensate for unmet social needs, and explore interests in a judgment-free environment.”
    Quote in the paperSubstantial claim
  • Findingown data

    Character.ai was used by fans to seek emotional support.

    “Findings indicated that Character.ai was used by fans to extend fandom experiences, engage in role-play and creative storytelling, seek emotional support, compensate for unmet social needs, and explore interests in a judgment-free environment.”
    Quote in the paperSubstantial claim
  • Findingown data

    Character.ai was used by fans to extend fandom experiences.

    “Findings indicated that Character.ai was used by fans to extend fandom experiences, engage in role-play and creative storytelling, seek emotional support, compensate for unmet social needs, and explore interests in a judgment-free environment.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one. 20
  • Probably not a substantial claim. 34
  • It may state two separate claims as one.

    Findingown data

    Evidence from the thematic and n-gram analyses suggested that fandom engagement and social motivations were identified by users as important drivers of use, while utilitarian functions also played a role.

    “Evidence from the thematic and n-gram analyses suggested that fandom engagement and social motivations were identified by users as important drivers of use, while utilitarian functions also played a role.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    After three iterations of independent review and collaborative refinement, the authors converged on a final set of themes representing 25 recurring motives.

    “After three iterations of this process, we had converged on our understanding of the themes present in each comment we discussed; this final set of themes represented 25 recurring motives.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    The resulting 813 comments had a mean length of 30.82 words.

    “The resulting 813 comments identified by the research assistants had a mean length of 30.82 words.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Findingown data

    Virtual Social Compensation motives cover users who utilize Character.ai to alleviate a lack of social experiences.

    “The next broad category of motives was Virtual Social Compensation, which covers users who utilize Character.ai as a method to alleviate a lack of social experiences.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Users' comments accurately reflect their motivations for using Character.ai.
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    The IRL Social Contact category includes using the website alongside real-life friends to facilitate real-life social development.

    “The IRL Social Contact category also captures motives related to using the website alongside real-life friends, allowing for real-life social development and facilitation, as well.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Users' comments accurately reflect their motivations for using Character.ai.
  • It may state two separate claims as one.

    Findingown data

    The data suggest that many fans engage in extension of text without community engagement, reporting they use C.ai specifically because it does not involve other people.

    “Our data suggest, however, that many fans, when given the opportunity, engage in this extension of text without the community engagement, in fact reporting that they use C.ai to do so specifically because it does not involve other people.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Users' comments accurately reflect their motivations for using Character.ai.
  • It may state two separate claims as one.

    Findingown data

    Fans reported using chatbot characters for involvement with the main story, such as self-insertion, or for parasocial attachment to a specific media figure.

    “This category captures individuals who reported utilizing the chatbot characters for involvement with the main story, such as engaging with the world as a self-inserted character, or for those who have a parasocial attachment to a specific media figure and would like to engage with them specifically.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Users' comments accurately reflect their motivations for using Character.ai.
  • 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 comments ranged in date of creation from November 2023 to January 2026; most (782, or 96%) were posted in 2025, 5 (0.6%) near the end of 2023, 11 (1.1%) in 2024, and 13 (1.6%) in 2026.

    “They ranged in the date of their creation from November 2023 to January 2026; most (782, or 96%) of the comments were posted in 2025, 5 (0.6%) were made near the end of 2023, 11 (1.1%) in 2024, and the balance (13, or 1.6%) were made in 2026.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Findingown data

    Fan Facilitation motives indicated using Character.ai to engage with preferred fandom, character, or narrative adjacent or continuous to the main story.

    “Fan Facilitation motives were those that indicated motives to use Character.ai as a method of engaging with their preferred fandom, character, or narrative adjacent or continuous to the main story.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Users' comments accurately reflect their motivations for using Character.ai.
  • It may state two separate claims as one.

    Findingown data

    Many fans who admitted to darker motives acknowledged they are problematic but believed acting them out with AI chatbots harms no one.

    “Many of the fans who admit to these darker motives acknowledge that they are problematic but recognize that acting them out with AI chatbots harms no one, as the fan who reported that “I know it’s not right…, but it’s just what I need to do to be safe from myself.””
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Users' comments accurately reflect their motivations for using Character.ai.
  • It may state two separate claims as one.

    Findingown data

    Enjoyment was reflected in character interaction, worldbuilding, roleplaying, and customizing bots for others.

    “That enjoyment is reflected in many different types of interaction, including things like character interaction (e.g., “I just like chatting with characters in a show or anime”), worldbuilding, roleplaying in general (e.g., “I create my own stories with characters I love—for fun”), or even customizing bots for others to use (e.g., “I like creating bots for others to enjoy”).”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Users' comments accurately reflect their motivations for using Character.ai.
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Through further discussion and review, the authors came to a consensus on a group of five overarching motives under which each of the 25 could be grouped.

    “Through further discussion and review of specific exemplars, we came to a consensus on a group of five overarching motives under which each of the 25 could be grouped.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Findingown data

    Several fans reported talking with bots enacting favorite performers who had passed away, and found the experience comforting or healing.

    “Others used it for a particular parasocial purpose, including several fans who reported talking with bots enacting favorite performers who had passed away, finding the experience to be comforting or healing.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Users' comments accurately reflect their motivations for using Character.ai.
  • It may state two separate claims as one.

    Findingown data

    The thematic analysis identified 25 definite themes and generated five categories of motivations: Fan Facilitation, Safe Harbor, Virtual Social Compensation, IRL Social Contact, and Entertainment.

    “After identifying 25 definite themes, we generated five categories based on the identified motivations: Fan Facilitation, Safe Harbor, Virtual Social Compensation, In Real Life (IRL) Social Contact, and Entertainment.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Users' comments accurately reflect their motivations for using Character.ai.
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Analogies were present in 2.55% of the data.

    “For parasocial interaction, we looked at our parasocial attachment and analogy categories, with parasocial attachment language being present in 0.159% of the text corpus and analogies being present in 2.55% of the data.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Findingreasoning

    These five overarching themes represented distinct motives or drivers of C.ai use rather than distinct and exhaustive classifications of comments; a single comment might convey a single theme, multiple themes, or, rarely, no theme at all.

    “These five overarching themes represented distinct motives or drivers of C.ai use rather than distinct and exhaustive classifications of comments—that is, a single comment might convey a single theme, multiple themes, or, rarely, no theme at all.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    A review by Hung et al. (2026) identified benefits of parasocial relationships with social chatbots, including emotional support and social needs, enjoyment, and community belonging and participation.

    “A review by Hung et al. (2026) identified benefits of what they characterized as parasocial relationships with social chatbots, including emotional support and social needs, enjoyment, and community belonging and participation.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Hung et al., 2026 source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    Many studies on social AI chatbots strongly underscore their use to meet social needs or perform social functions, including the experience of romantic or para-romantic relationships.

    “Many of the studies on social AI chatbots strongly underscore their use to meet social needs or perform social functions, including the experience of romantic or para-romantic relationships (e.g., Ma & Koike, 2025).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Ma & Koike, 2025 source
  • It may state two separate claims as one.

    Interpretationown data

    Fan C.ai use has a dual character, namely as a tool to both meet social needs and avoid social contact, with potential benefits and hazards for fans engaging with social chatbots.

    “Findings are discussed in terms of the dual character of fan C.ai use, namely as a tool to both meet social needs and avoid social contact, with its potential benefits and hazards for fans engaging with social chatbots.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    A review by Hung et al. (2026) identified a pattern in which use can lead to emotional and behavioral dependency and the displacement of human relationships.

    “On the other hand, they also identified a pattern in which use can lead to emotional and behavioral dependency and the displacement of human relationships.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Hung et al., 2026 source
  • Probably not a substantial claim. It may state two separate claims as one.

    Study design and conductreasoning

    The sample was gathered by two undergraduate research assistants who were familiar with Character.ai and identified as fans of various fictional worlds and performers but were naïve to the purposes of the study.

    “The sample was gathered by two undergraduate research assistants who were familiar with Character.ai and identified as fans of various fictional worlds and performers but were naïve to the purposes of the study.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: Research assistants who were both fans and naïve to the study's rationale would be able to identify conversations among fans the way any fan investigating the question might.
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    Persistent use of social chatbots over time may lead to increased feelings of loneliness or isolation.

    “At the same time, persistent use over time may lead to increased feelings of loneliness or isolation (Folk & Dunn, 2026).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Folk & Dunn, 2026 source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Interpretationreasoning

    A chatbot partner that provides a facsimile of a relationship with a favorite character could make fan creation more enjoyable.

    “Fans extend and interpret texts through fan fiction and the creation of fan art (Jenkins, 1992); a chatbot partner that provides a facsimile of a relationship with a favorite character could make such creation more enjoyable.”
    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 conductown data

    823 comments were initially identified and recorded, but ten comments found in Discord threads could not be verified as public and were discarded.

    “823 comments were initially identified and recorded, but we were unable to verify the public character of ten of the comments, specifically those found in Discord (Discord, Inc., San Francisco, CA, USA) threads. These were therefore discarded.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationown data

    The findings highlight how social chatbots may be reshaping fan practices, parasocial engagement, and digitally mediated companionship.

    “The findings highlight how social chatbots may be reshaping fan practices, parasocial engagement, and digitally mediated companionship.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    Self-disclosure plays a pertinent role in advancing a connection with another individual, as it allows a setting where intimacy and amity can be cultivated.

    “Self-disclosure plays a pertinent role in advancing a connection with another individual, as it allows a setting where intimacy and amity can be cultivated (Jiang et al., 2011).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Jiang et al., 2011 source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    Social factors seem to drive self-disclosure in human-chatbot communication.

    “In fact, it is these social factors that seem to drive self-disclosure in human–chatbot communication (Meng & Liu, 2025).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Meng & Liu, 2025 source
  • It may state two separate claims as one.

    Premisecitation

    The open-ended nature of chatbot discussions allows for a private and relatively unrestricted environment for users to discuss challenging topics without the threat of judgment, and experience emotional support in the form of positive affective encouragement and facilitating a sense of belonging, especially when it is not readily available in one's real-life.

    “The open-ended nature of chatbot discussions allows for a private and relatively unrestricted environment for users to discuss challenging topics without the threat of judgment, and experience emotional support in the form of positive affective encouragement and facilitating a sense of belonging, especially when it is not readily available in one’s real-life (Ta et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Ta et al., 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim.

    Premisecitation

    The CASA paradigm suggests that humans utilize human-human communication heuristics and, to a certain extent, norms when participating in human-computer interaction.

    “This can be understood with an appeal to the computers are social actors (CASA) paradigm (Nass et al., 1994; Nass & Moon, 2000), which suggests that humans utilize human–human communication heuristics and, to a certain extent, norms when participating in human–computer interaction.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Nass et al., 1994

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Nass & Moon, 2000 source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    Social chatbots are designed in ways that make these agents capable of eliciting emotional bonds with their users.

    “While many chatbots are embedded with skills that facilitate natural social interaction, social chatbots are designed in ways that make these agents capable of eliciting emotional bonds with their users (Henkel et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Henkel et al., 2020 source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Premisecitation

    Concerns have been raised about the possibility of addiction to social chatbots, including by users who report experiencing addiction.

    “In addition, concerns have been raised about the possibility of addiction to social chatbots, including by users who report experiencing addiction (Shen et al., 2026).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Shen et al., 2026 source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    Taylor's (2015) observation that the overwhelming majority of fans of fictional texts are focused on engagement with the text, not engagement with communities of other fans.

    “This is consistent with Taylor’s (2015) observation that the overwhelming majority of fans of fictional texts are focused on engagement with the text, not engagement with communities of other fans.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Taylor’s (2015) source
  • It may state two separate claims as one.

    Interpretationreasoning

    The distinct lack of human interaction acts as both a protected, secure setting and a potential promoter of further social isolation.

    “Whether this arises in the entertainment context of role-playing, or the social compensation context of searching for romance, the distinct lack of human interaction acts as both a protected, secure setting and a potential promoter of further social isolation.”
    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.

    Study design and conductreasoning

    In reporting results, select words in quotations have been replaced with near synonyms to protect commenter privacy; what are presented as quotations are near-quotations.

    “In order to protect the pseudonymous identities participants used in these conversations, select words in these quotations have been replaced with near synonyms. What we present as quotations are, in fact, near-quotations.”
    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

    The authors identify as scholars who research fans from the perspective of psychology and communication, and as fans of a variety of fictional narratives; one has strong connections to fan communities and practices, the other is more of a casual fan.

    “We, the authors, identify as scholars who research fans from the perspective of psychology and communication. We also identify as fans of a variety of fictional narratives. One of us has strong connections to fan communities and practices; the other is, in fan terms, more of a casual fan.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Study design and conductown data

    The sample was not designed to be representative, so the results are not generalizable.

    “Another key limitation is that, as the sample was not designed to be a representative one, the results are not generalizable; instead, the results should be viewed as offering insights for further, more systematic investigation.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim.

    Premisecitation

    Jenkins (1992) tends to frame fan creative activity as essentially communal.

    “Jenkins (1992) tends to frame fan creative activity as essentially communal—a way to engage with one’s fandom as fan fiction is written and read, fan art created and attended to, and so on.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Jenkins (1992)

      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

    Given the inherently social nature of parasocial relationships, comparisons to real-life social relationships and connections were likely to be present in descriptions of connections with media figures, prompting the need for the inclusion of analogy language within this analysis.

    “Given the inherently social nature of parasocial relationships, we reasoned that comparisons to real-life social relationships and connections were likely to be present in descriptions of connections with media figures, prompting the need for the inclusion of analogy language within this analysis (e.g., “he’s like the brother I never had,” “she feels like just another friend from my school”).”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Patterns of language in the comments indicate the categories of motives (parasocial uses, utilitarian uses, fan engagement).
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given

    All remaining comments were still publicly viewable at the time of writing.

    “All remaining comments were still publicly viewable at the time of writing.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Interpretationown data

    The term "high school" follows the sub-theme of nostalgia.

    “Additional terms, such as “high school”, follow the sub-theme of nostalgia, where those who utilize C.ai do so to experience a specific narrative (e.g., “I’m 18 myself, and I often find myself nostalgic for that era of my life, because I never really got to experience that perfect “high school dream” that so many stories romanticize”).”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The n-gram collocation analysis's top collocates are meaningful indicators of user experiences or motives.
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation

    Empath can create novel dictionary categories based on provided seed words.

    “In addition to Empath’s built-in categories, the NLP has the ability to create novel dictionary categories based on a provided set of seed words (Fast et al., 2016).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Fast et al., 2016 source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given

    Each dictionary was examined by the authors to ensure accurate representation of seed words.

    “Each was then subject to examination by the authors to ensure accurate representation of seed words.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Premisecitation

    The expectancy-value model of media gratifications holds that media use is motivated by needs and wants as informed by perceptions and beliefs about the medium.

    “The expectancy-value model of media gratifications holds that media use is motivated by needs and wants as informed by perceptions and beliefs about the medium (Palmgreen & Rayburn, 1982).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Palmgreen & Rayburn, 1982 source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Interpretationreasoning

    Collocates such as "friend show", "group chat", and "social media" follow the IRL Social Contact category.

    “Collocates such as “friend show”, “group chat”, and “social media” adequately follow the throughline of the IRL Social Contact category, with referrals from real-life friends, social networks, and introduction through external media exhibited within these terms.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The n-gram collocation analysis's top collocates are meaningful indicators of user experiences or motives.
  • Probably not a substantial claim.

    Study design and conductreasoning

    Recognizing the subjectivity involved in TA, the authors elected to complement that work with computational approaches to identifying themes in the data.

    “Recognizing the subjectivity involved in TA, we elected to complement that work with computational approaches to identifying themes in the data.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given

    The language used to describe parasocial relationships is the same language often used to describe social relationships.

    “This is largely because the language used to describe parasocial relationships is the same language, often used to describe social relationships—romance, closeness, friendship, affinity, favorite, and so on.”
    Quote in the paperNot a substantial claim
46 of 46
  • The paper relies on this without support.

    Reddit’s organization into topic-specific interest groups, or sub-Reddits, allows for conversations among users with shared interests.

    “Importantly, Reddit’s organization into topic-specific interest groups, or sub-Reddits, allows for conversations among users with shared interests, including, for example, user groups dedicated to fans of specific media personae and texts.”
  • The authors state this as an assumption.

    Research assistants who were both fans and naïve to the study's rationale would be able to identify conversations among fans the way any fan investigating the question might.

    “Our reasoning was that research assistants who were both fans and naïve to the rationale of the study would be able to identify conversations among fans the way any fan investigating the question might.”
  • The paper relies on this without support.

    Patterns of language in the comments indicate the categories of motives (parasocial uses, utilitarian uses, fan engagement).

    “Here, we looked specifically at patterns of language that indicated the categories of motives we anticipated based on existing literature on fans, fandom, and parasocial relationships, namely parasocial uses, utilitarian uses, and fan engagement.”
  • The paper relies on this without support.

    Users' comments accurately reflect their motivations for using Character.ai.

    “After identifying 25 definite themes, we generated five categories based on the identified motivations: Fan Facilitation, Safe Harbor, Virtual Social Compensation, In Real Life (IRL) Social Contact, and Entertainment.”
  • The paper relies on this without support.

    The n-gram collocation analysis's top collocates are meaningful indicators of user experiences or motives.

    “This analysis revealed a range of user experiences consistent with the themes observed within the thematic analysis.”
5 of 5

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

  • Percentage of comments from 2024 is misstated

    Minor

    Eleven of 813 comments is approximately 1.35%, which rounds to 1.4% at the printed precision, not 1.1%.

    Reported 1.1 · recomputed 1.353014

1 of 1

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Guo, 2012, The effect of parasocial interaction on young children’s learning from video, Journal of Psychological Science, 35, 882
  2. Jenkins, H. (1992). Textual poachers: Television fans and participatory culture, Routledge.
  3. Nass, C., Steuer, J., and Tauber, E. R. (, January April). Computers are social actors. SIGCHI Conference on Human Factors in Computing Systems, Boston, MA, USA.

Cited by

Still being checked.

Metadata

Authors
Lopez, S. C., & Taylor, L. D.
Affiliations
University of California, Davis (US)
Corresponding author
Taylor, Laramie D.
Venue
Behavioral Sciences
Publisher
MDPI AG
Published
2026-08-25
Volume
16
Issue
9
Pages
1481
ISSN
2076-328X (ISSN-L)
OpenAlex
W7204209070
Cited by
0
References
30
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Behavioral Sciences (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
  • Social Sciences › Communication › Media and Digital Communication
Keywords
social chatbots, fandom, Character.AI, parasocial relationships, self-disclosure, Computers Are Social Actors, fan engagement, role play, emotional support, safe harbor, social needs, Reddit comments

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 ›

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