Cited by 14Ethics and Social Impacts of AIHate Speech and Cyberbullying DetectionLGBTQ Health, Identity, and Policy

The DOI matches its Crossref record; 37 of the 38 references it cites were found in a registry or an index, and 1 are not checked yet; none of the 73 sources its claims cite is checked for support yet.

Trans-centered moderation: Trans technology creators and centering transness in platform and community governance

Open access
Thach, Hibby, Mayworm, Samuel, Thomas, Michaelanne, Haimson, Oliver L.·2024·The 2024 ACM Conference on Fairness Accountability and Transparency

Abstract

Mainstream platforms’ content moderation systems typically employ generalized “one-size-fits-all” approaches, intended to serve both general and marginalized users. Thus, transgender people must often create their own technologies and moderation systems to meet their specific needs. In our interview study of transgender technology creators (n=115), we found that creators face issues of transphobic abuse and disproportionate content moderation. Trans tech creators address these issues by carefully moderating and vetting their userbases, centering trans contexts in content moderation systems, and employing collective governance and community models. Based on these findings, we argue that trans tech creators’ approaches to moderation offer important insights into how to better design for trans users, and ultimately, marginalized users in the larger platform ecology. We introduce the concept of trans-centered moderation – content moderation that reviews and successfully vets transphobic users, appoints trans moderators to effectively moderate trans contexts, considers the limitations and constraints of technology for addressing social challenges, and employs collective governance and community models. Trans-centered moderation can help to improve platform design for trans users while reducing the harm faced by trans people and marginalized users more broadly.

Checked 2026-11-10 · 1 reference not checked yet

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In 104 interviews with 115 trans technology creators, participants described facing transphobic abuse and disproportionate content moderation, and responded by building moderation systems that vet users, center trans contexts, and use collective governance. The authors introduce “trans-centered moderation” as a framework for better platform design for trans and other marginalized users.

Key findings

  • Trans tech creators and their users experienced transphobic abuse and disproportionate moderation, including shadowbanning, repeated content removals, and appeals that took months; one participant said reinstating a YouTube channel took three months.
  • Creators addressed these harms through careful moderation and vetting, such as manual review of submitted comments, assigning a “trustworthiness score” to potential users, and Aegis, a shared Discord/Twitch troll-reporting system.
  • They also centered trans contexts by appointing trans moderators and building tools like Deadname Remover, and pursued collective governance models where community members participate in decisions rather than top-down moderation.
  • The paper defines trans-centered moderation as content moderation that reviews and vets transphobic users/content, appoints trans moderators, considers technology’s limits for social challenges, and employs collective governance and community models.

Methods

  • The authors conducted 104 semi-structured interviews with 115 trans tech designers and creators in 2021 and 2022, recruited through criterion and snowball sampling; the completed-interview response rate was 43.7%.
  • Interviews lasted about 60 minutes (mean = 63 minutes, SD = 14, range = 33–93), were conducted via Zoom, and participants received a $100 gift card or check.
  • Analysis used open coding followed by axial coding, focusing on codes related to trans technologies and content moderation; primary themes were transphobic abuse, disproportionate content moderation, careful moderation and vetting, centering trans contexts, and collective governance and community models.

Limitations

  • The paper states that the sample was mostly US-based and English-speaking, more than 75% of participants were white, and the study does not account for community members’ or users’ experiences; it calls for future work on race, disability, non-Western contexts, and user perspectives.
  • The paper also notes that its findings come from a largely Western context and may not apply as easily to non-Western contexts.
  • Evident from the text: the study relies on creator self-reports and does not measure moderation outcomes or platform-side data, so the proposed framework’s effectiveness is not empirically tested here.

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

Integrity signals

Registry

Crossref · 10.1145/3630106.3658909

Cites

37 of 38 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 73 cited sources checked · 0 supported · 0 flagged

  • Findingreasoning

    Unlike mainstream platforms, trans technologies frequently adopt content moderation systems and approaches that prioritize the safety of trans users, placing explicit focus on addressing their specific concerns.

    “Unlike mainstream platforms, trans technologies frequently adopt content moderation systems and approaches that prioritize the safety of trans users, placing explicit focus on addressing their specific concerns.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Trans technologies that include some form of content moderation system are representative of trans technologies more broadly.
  • Findingown data

    Several trans tech creators discussed how they designed their technology to mitigate the risk of abusive users joining their services with the intention of harming trans users.

    “Beyond carefully vetting content, several trans tech creators also discussed how they designed their technology to mitigate the risk of abusive users joining their services with the intention of harming trans users.”
    Quote in the paperSubstantial claim
  • Findingown data

    Trans tech creators address issues of transphobic abuse and disproportionate content moderation by employing collective governance and community models.

    “Trans tech creators address these issues by carefully moderating and vetting their userbases, centering trans contexts in content moderation systems, and employing collective governance and community models.”
    Quote in the paperSubstantial claim
  • Findingown data

    Trans tech creators continue to face disproportionate content moderation on contemporary social media platforms.

    “Trans tech creators continue to face disproportionate content moderation on contemporary social media platforms.”
    Quote in the paperSubstantial claim
  • Findingown data

    Other participants expressed similar sentiments about censorship and shadowbanning.

    “This is not a unique case, however, as other participants expressed similar sentiments about censorship and shadowbanning.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. 72
  • It may state two separate claims as one. 58
  • The quote only partly states this claim. 5
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Aegis was developed in response to the collapse of a similar system called Pride Shield.

    “Aegis was developed in response to the collapse of a similar system called Pride Shield,”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Jaylin Bowers spoke about the risk of transphobic people joining Trans Family Network to abuse or exploit particularly vulnerable trans users.

    “Jaylin Bowers spoke to us about the risk of transphobic people joining Trans Family Network to abuse or exploit particularly vulnerable trans users.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Bowers described the process of manually reviewing potential users and assigning them a 'trustworthiness score' before deciding whether to allow them to join Trans Family Network.

    “She described the process of manually reviewing potential users and assigning them a”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Findingown data

    Taylor Chiang described the need to design a system that allows moderators on TranZap to preemptively manually review submitted comments, with the goal of avoiding publishing transphobic comments on the platform.

    “Taylor Chiang described the need to design a system that allows moderators on TranZap (an app for trans people to describe their experiences with physicians or to read other users' reviews) to preemptively manually review submitted comments, with the goal of avoiding publishing transphobic comments on the platform:”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingreasoning

    Despite Facebook's guidelines allowing photographs, paintings, sculptures, and other art or figures of nudity, Transguy Supply's content is still taken down occasionally, despite following community guidelines.

    “Despite Facebook's guidelines allowing photographs, paintings, sculptures, and other art or figures of nudity, Transguy Supply's content is still taken down occasionally, despite following community guidelines.”
    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

    Justin Bantuelle said they were very mindful that there are horrible people and restricting the ability for anyone to do anything hateful with the website was a big focus.

    “Similarly, developer Justin Bantuelle said they were”
    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. The quote only partly states this claim.

    Findingown data

    Alex of Transthetics was banned multiple times, especially on YouTube, and it took three months to get his channel reinstated because he could not talk to a human.

    “I've been very wary of social media because I've been banned multiple times, especially YouTube,”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Findingown data

    Arm the Girls' account is shadowbanned on Instagram and has been repeatedly flagged for 'inciting violence.'

    “Our account is shadowbanned on Instagram, and we've been repeatedly flagged for”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingnone given

    Moderators from each community can use Aegis to report anti-trans and anti-queer trolls and other harmful users.

    “Moderators from each community can use Aegis to report anti-trans and anti-queer trolls and other harmful users.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Findingown data

    Rose and Alex expressed how infrequently content moderation appeals succeed for trans tech creators, as platforms rarely allow users to interact with human moderators.

    “They also both expressed how infrequently content moderation appeals succeed for trans tech creators, as platforms rarely allow users to interact with human moderators.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Trolls create new accounts continually, creating a loop of them creating accounts and moderators banning them.

    “She said,”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Bantuelle gave Gender Infinity Resource Locator moderators a full administration tool so they can remove access if somebody becomes a bad actor.

    “I gave them [Gender Infinity Resource Locator moderators] a full administration tool, so that if somebody leaves, if somebody becomes a bad actor, for whatever reason, they can remove their access,”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Chapperri created Aegis to recreate and improve upon Pride Shield.

    “Chapperri created Aegis to recreate and improve upon Pride Shield.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one. The quote only partly states this claim.

    Findingown data

    Both Rose and Alex sell packers or various trans prosthetics that often get flagged as 'adult,' despite following site guidelines.

    “Both Rose and Alex sell packers or various trans prosthetics that often get flagged as”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Rosa Chapperri described Aegis, a collaborative vetting system she developed that provides security for many different LGBTQIA+ safe spaces on Discord and content creators on Twitch.

    “Rosa Chapperri (from The Transverse) described Aegis, an innovative collaborative vetting system she developed that provides security for many different LGBTQIA+ safe spaces on Discord and content creators on Twitch.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Findingown data

    In an interview study of 115 transgender technology creators, creators face issues of transphobic abuse and disproportionate content moderation.

    “In our interview study of transgender technology creators (n=115), we found that creators face issues of transphobic abuse and disproportionate content moderation.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The sample of 115 trans tech creators is sufficient to identify prevalent themes.
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Findingreasoning

    Trans Family Network users are especially vulnerable to transphobic trolling and abuse.

    “Though large online communities are likely to be targeted by trolls, whether transphobic or not, Trans Family Network users are especially vulnerable to transphobic trolling and abuse.”
    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.

    Findingreasoning

    Trans Family Network uses a quantitative metric based on how much information incoming users verify to decide if a potential user is safe to let into a space, as a way to protect trans users from harm.

    “In this example, rather than using subjective vetting criteria, Trans Family Network uses a quantitative metric based on how much information incoming users verify to decide if a potential user is safe to let into a space, as a way to protect trans users from harm.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Findingcitation

    Trans tech creators must grapple with rigid technological systems that hinder their and their users' abilities to express themselves, or algorithms and policies that target them disproportionately.

    “In addition to transphobic online abuse, trans tech creators also must grapple with rigid technological systems that hinder their and their users' abilities to express themselves, or algorithms and policies that target them disproportionately [26,54].”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [26]

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

    • cites [54]

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

  • Probably not a substantial claim. The authors may not put it forward as true. The paper may give no reason why it holds. It may state two separate claims as one.

    Findingnone given

    Davis suspected that Instagram's algorithm shadowbanned content of trans femmes with guns, while military Instagram pages do not seem to face the same scrutiny.

    “Davis suspected that Instagram's algorithm shadowbanned content of trans femmes with guns -content that is explicitly trans, but also contains”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Transguy Supply has had posts pulled down from social media.

    “It's [social media] run by bots; it's been proven that they are homophobic and transphobic... we've had posts that are pulled down,”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Findingown data

    Trans tech creators described themselves and their users experiencing transphobic abuse and facing barriers to expressing their identities online because of rigid technological systems.

    “Specifically, trans tech creators described themselves and their users experiencing transphobic abuse and facing barriers to expressing their identities online because of rigid technological systems.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Interview participants' self-reports accurately describe their technologies and moderation practices.
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Findingnone given

    Navigating transphobic abuse is complicated and requires constant vigilance.

    “Not only is navigating transphobic abuse complicated, but it also requires constant vigilance.”
    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. The quote only partly states this claim.

    Findingown data

    Hayward argued that community is important to make sure that no individual can take control of a common resource, and that it remains in the hands of those who need it and will use it.

    “I think that you need community.I think it's very easy to end up with situations where you have one person who's in control of a resource that should be a common resource,”
    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

    Some participants in the study spoke on this and discussed ideas around hiring marginalized groups as moderators.

    “Some participants in our study spoke on this and discussed ideas around hiring marginalized groups as moderators.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    D'Lune discussed implementing a representative policy to enable people from smaller demographics to hold equal say as majority groups in a collective.

    “She discussed the natural tendency for a majority group to appear in such a collective and how she would implement a representative policy, enabling people from smaller demographics to hold equal say as majority groups.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Findingown data

    Technologies can be anti-trans in their design.

    “Trans tech creators like Willow Hayward (of the Deadname Remover plug-in) spoke to how technologies can be anti-trans in their design.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim.

    Findingown data

    Delilah D'Lune and Laur Bereznai spoke to the desire for collective governance or community models.

    “Others like Delilah D'Lune (of various trans technologies not named here) and Laur Bereznai (of the Trans Peer Network) spoke to the desire for collective governance or community models.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Laur Bereznai of Trans Peer Network emphasized continuously regenerating and reshaping the community as a space that supports and empowers its members by limiting hierarchy and centering the margins.

    “Laur Bereznai of Trans Peer Network, spoke about a similar process, saying,”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Findingown data

    D'Lune mentioned collective forms of decision-making and representative policies to help smaller subgroups have equal say compared to majority groups, while Bereznai mentioned a reshaping and reforming of community spaces to limit hierarchies and continually uplift and center the most marginalized.

    “D'Lune mentioned collective forms of decision-making and representative policies to help smaller subgroups have equal say compared to majority groups, while Bereznai mentioned a reshaping and reforming of community spaces to limit hierarchies and continually uplift and center the most marginalized.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingown data

    As the trans tech creators in this study described, online platforms are often rife with transphobia, both from platform users and as programmed into platform infrastructures.

    “As the trans tech creators in this study described, online platforms are often rife with transphobia, both from platform users and as programmed into platform infrastructures.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The authors may not put it forward as true. The paper’s conclusions may not depend on it. The quote only partly states this claim.

    Findingown data

    D'Lune wanted to build a platform that is collectively governed by its members, with a truly open collective where everyone participating in the organization can participate in governance to create proposals, discuss them, and vote on them.

    “I've been wanting to... build a platform that is collectively governed by its members for a long time,”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim.

    Findingown data

    Community and collective accountability are central to governance conversations among trans tech creators.

    “Community and collective accountability are central to governance conversations.”
    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.

    Findingown data

    Riley Johnson discussed that RAD Remedy was collaboratively, collectively operated, and they were purposeful about not having one person's way.

    “Similarly, Riley Johnson from now-defunct health information resource site RAD Remedy, discussed the site's governance:”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Findingcitation

    Trans people are not all the same, and will have different ideas regarding desired moderation outcomes.

    “Yet as Laura Horak (of the Transgender Media Portal) reminded us, trans people are not all the same, and will have different ideas regarding desired moderation outcomes.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Findingnone given

    Trans tech creators, when asked, are often quick to point out online platforms' faults when it comes to navigating online spaces while trans.

    “Trans tech creators, when asked, are often quick to point out online platforms' faults when it comes to navigating online spaces while trans.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Findingown data

    Trans moderators might speak better to trans contexts than cis moderators.

    “The Product Designer for a queer social and community app we interviewed spoke to how trans moderators might speak better to trans contexts than cis moderators,”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Many trans people face a common set of challenges when using social technologies.
  • It may state two separate claims as one.

    Premisecitation

    Many users still report that shadowbanning happens, and this remains a gray area that requires users to create algorithmic folk theories to describe their experiences.

    “Many users still report that shadowbanning happens, and this remains a gray area that requires users to create algorithmic folk theories to describe their experiences [15,46].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [15]

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

    Premisecitation

    Trans social media users experience incorrect reporting of their content by other social media users as a form of transphobic harassment, exacerbating disproportionate content removals.

    “Trans social media users also experience incorrect reporting of their content by other social media users as a form of transphobic harassment, exacerbating disproportionate content removals [31,44].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [31]

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

    • cites [44]

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

  • It may state two separate claims as one.

    Interpretationcitation

    Disproportionate removals of trans users' content harms trans users while limiting their ability to use social media for self-expression, activism, information-seeking, or other trans-related needs, ultimately preventing trans people from using social media as freely or safely as cisgender social media users.

    “Disproportionate removals of trans users' content harms trans users while limiting their ability to use social media for self-expression, activism, information-seeking, or other trans-related needs, ultimately preventing trans people from using social media as freely or safely as cisgender social media users [23,26,45].”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [23]

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

    • cites [26]

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

    • cites [45]

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

  • It may state two separate claims as one.

    Interpretationreasoning

    Trans-centered moderation can help improve platform design for trans users while reducing the harm faced by trans people.

    “Trans-centered moderation can help to improve platform design for trans users while reducing the harm faced by trans people and marginalized users more broadly.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given

    Data analysis was conducted alongside data collection.

    “We recorded interview audio and later transcribed them for data analysis; data analysis was conducted alongside data collection.”
    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 was reviewed and deemed exempt by the university's Institutional Review Board.

    “This study was reviewed and deemed exempt by our university's Institutional Review Board.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Interpretationnone given

    Talking to people who create trans technologies (rather than technology users) uniquely makes visible the substantial work that moderation requires.

    “Additionally, talking to people who create trans technologies (rather than technology users) uniquely makes visible the substantial work that moderation requires.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Trans tech creators' perspectives and design decisions are a valid basis for improving moderation for trans users and marginalized users more broadly.
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given

    The interview protocol was iteratively adapted based on what was learned through analysis.

    “We iteratively adapted our interview protocol based on what we learned through analysis.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Interpretationnone given

    Trans-centered content moderation solutions are more likely to be employed in smaller-scale trans-built communities.

    “We discuss how trans-centered content moderation solutions are more likely to be employed in smaller-scale trans-built communities; yet this puts the onus on trans users and trans tech creators to moderate themselves, since trans-centered content moderation principles cannot be easily deployed on larger mainstream platforms.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Trans-centered content moderation principles cannot be easily deployed on larger mainstream platforms.
  • It may state two separate claims as one.

    Premisecitation

    Trans technologies are tailored to keep trans users safe while enabling them to meet their unique needs.

    “These trans technologies 3 are tailored to keep trans users safe while enabling them to meet their unique needs [27,29].”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [27]

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

    Premisecitation

    Algorithmic moderation tools inaccurately assess and disproportionately target trans users' content.

    “Examples include platforms guidelines related to gender that do not acknowledge trans users [4] and algorithmic moderation tools that inaccurately assess and disproportionately target trans users' content [4,26,45].”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [4]

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

    • cites [26]

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

    • cites [45]

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

  • It may state two separate claims as one.

    Interpretationreasoning

    Disproportionate content moderation burdens trans tech creators with additional labor and reduced engagement and sales, and creates added barriers for trans tech creators and the people who use their technologies.

    “Disproportionate content moderation burdens trans tech creators with additional labor and reduced engagement and sales, and creates added barriers for trans tech creators and the people who use their technologies.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Premisecitation

    Trans people rely on social media to meet some of their trans-specific needs, such as seeking trans healthcare information, crowdfunding for gender-affirming healthcare, expressing trans identity, and finding community.

    “Trans people rely on social media to meet some of their transspecific needs, such as seeking trans healthcare information [1], crowdfunding for gender-affirming healthcare [2,19], expressing trans identity [16], and finding community [7,24,47,50].”
    Quote in the paperSubstantial claim0 of 4 sources checked
    • cites [1]

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

    • cites [2]

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

    • cites [19]

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

    • cites [16]

      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

    Calculating a quantitative 'trustworthiness score' may miss some of the complexities necessary for vetting, and shares some elements with algorithmic content moderation as employed by mainstream platforms, which are not always particularly inclusive.

    “Calculating a quantitative”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.

    Interpretationreasoning

    Doing so could allow mainstream platforms to more fairly moderate trans users' content and better protect trans users, and ultimately, marginalized users more broadly.

    “Doing so could allow mainstream platforms to more fairly moderate trans users' content and better protect trans users, and ultimately, marginalized users more broadly.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Mainstream platforms can adopt smaller-scale trans-centered moderation practices.
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Interpretationreasoning

    By disproportionately removing 'violent' content from trans accounts but not military accounts, Instagram's algorithm may be disproportionately censoring trans bodies, language, and politics.

    “By disproportionately removing”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Interpretationreasoning

    Large online communities are likely to be targeted by trolls, whether transphobic or not.

    “Though large online communities are likely to be targeted by trolls, whether transphobic or not, Trans Family Network users are especially vulnerable to transphobic trolling and abuse.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Premisecitation

    Instagram has a history of denying shadowbanning and responding by elaborating on how their algorithm works, acknowledging that posts categorized as 'inappropriate' would not be featured on Instagram's Explore page, despite being within community guidelines.

    “Instagram has a history of denying shadowbanning and responding by elaborating on how their algorithm works, acknowledging that posts categorized as”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20]

      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. It may state two separate claims as one.

    Interpretationreasoning

    Trans-centered moderation as an approach deals with the intricacies of trans contexts, but offers insights into how to better consider other marginalized contexts as well.

    “Trans-centered moderation as an approach deals with the intricacies of trans contexts, but offers insights into how to better consider other marginalized contexts as well -by listening to marginalized technology creators and users to understand what types of systems, policies, and platform governance work best for their communities.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductown data

    The response rate of completed interviews was 43.7%.

    “We contacted participants via email or social media to invite them to participate; our response rate of completed interviews was 43.7%.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.

    Interpretationreasoning

    Trans-centered moderation helps not only trans people, but marginalized people more broadly, because it centers marginalized user contexts and can be similarly applied to non-trans marginalized contexts by considering how these contexts inform content moderation.

    “Trans-centered moderation helps not only trans people, but marginalized people more broadly, because it centers marginalized user contexts and can be similarly applied to non-trans marginalized contexts (and marginalized identities that often intersect with transness) by considering how these contexts inform content moderation.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Premisecitation

    Trans people have been at the forefront of various technologies across history; however, these histories have often been modified or erased, ignoring trans people's important contributions in designing technologies and online infrastructures.

    “Trans people have been at the forefront of various technologies across history; however, as many scholars note, these histories have often been modified or erased [10,39], ignoring trans people's important contributions in designing technologies and online infrastructures.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [10]

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

    • cites [39]

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

  • It may state two separate claims as one.

    Premisecitation

    Top-down governance models often employ content moderation tools that are efficient and can moderate a large user-base, but ignore context and often end up further marginalizing their marginalized users.

    “Topdown governance models often employ content moderation tools that are efficient and can moderate a large user-base, but ignore context and often end up further marginalizing their marginalized users [48,54].”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [48]

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

    • cites [54]

      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 fixes are more likely to happen on a smaller scale, such as on trans-built platforms and communities, which does not account for the larger platform ecology.

    “however, these fixes are more likely to happen on a smaller scale (e.g., on trans-built platforms and communities), which does not account for the larger platform ecology.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Interpretationreasoning

    Hiring multiple moderators from marginalized backgrounds with variation within the identity groups they belong to will help platforms better consider identity-based contexts overall.

    “Hiring multiple moderators from marginalized backgrounds with variation within the identity groups they belong to will help platforms better consider identity-based contexts overall.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationown data

    In the examples from trans tech creators, collaboration and community are prioritized rather than hierarchies, and power is distributed or renegotiated to intentionally center and uplift the most marginalized.

    “In these examples, collaboration and community are prioritized rather than hierarchies, and power is distributed or renegotiated to intentionally center and uplift the most marginalized.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning

    Both centering trans contexts and implementing collective governance help center transness and marginalization when it comes to content moderation decisions.

    “Both approaches help center transness and marginalization when it comes to content moderation decisions;”
    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. It may state two separate claims as one.

    Interpretationreasoning

    If a platform promises its users safety and wellbeing and continually works towards improving their spaces, its users can also continually work towards this as well, as both the platform and its users keep each other accountable.

    “If a platform promises its users safety and wellbeing and continually works towards improving their spaces, its users can also continually work towards this as well, as both the platform and its users keep each other accountable.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.

    Interpretationreasoning

    Issues of transphobia and marginalization are culturally-ingrained in our society, so they require complex and long-form solutions that technology and platform design are only one part of.

    “Issues of transphobia and marginalization are culturally-ingrained in our society, so they require complex and long-form solutions that technology and platform design are only one part of.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.

    Interpretationreasoning

    Platforms cannot singlehandedly solve social issues such as racism, sexism, transphobia, or ableism, amongst others.

    “While platforms can address this by implementing policy changes and tools recommended by scholars and platform users, platforms cannot singlehandedly solve social issues such as racism, sexism, transphobia, or ableism, amongst others.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Premisecitation

    Research shows that certain groups are disadvantaged online or disproportionately moderated more than others.

    “but research shows that certain groups are disadvantaged online or disproportionately moderated more than others [26,47].”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [26]

      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. It may be too vague to check against evidence. The paper may give no reason why it holds.

    Interpretationnone given

    Trans tech creators' content moderation processes, and the tools and governance structures they design to implement them, can better inform mainstream technology's moderation processes, by taking transphobia seriously and working to counteract it.

    “Trans tech creators' content moderation processes, and the tools and governance structures they design to implement them, can better inform mainstream technology's moderation processes, by taking transphobia seriously and working to counteract it.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning

    Transphobic abuse and disproportionate content moderation may be partially addressed by centering trans contexts in content moderation, and by implementing collective governance.

    “Transphobic abuse and disproportionate content moderation may be partially addressed by centering trans contexts in content moderation, and by implementing collective governance.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning

    Technology cannot single-handedly alleviate issues such as transphobia or marginalization, but designing better technology and better platforms for trans users is one part of the process.

    “Technology cannot single-handedly alleviate issues such as transphobia or marginalization, but designing better technology and better platforms for trans users is one part of the process.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning

    Collective governance and community-driven models are central to many trans technologies, and may offer possible solutions to the problem of scale when it comes to transphobic abuse and counteracting issues from disproportionate content moderation.

    “Collective governance and community-driven models are central to many trans technologies, and may even offer possible solutions to the problem of scale (e.g., Aegis's system spanning many small communities) when it comes to transphobic abuse and counteracting issues from disproportionate content moderation.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning

    To combat online platforms' faults, trans tech creators often must create their own moderation systems and perform additional moderation labor that non-trans and non-marginalized tech creators do not have to.

    “To combat this, they often must create their own moderation systems, and perform additional moderation labor that non-trans and non-marginalized tech creators do not have to.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Interpretationreasoning

    These moderation systems are designed specifically for trans experiences online, revolving around considering trans contexts alongside moderation decisions and considering how best to protect both trans tech creators and users.

    “These moderation systems are designed specifically for trans experiences online, as they revolve around considering trans contexts alongside moderation decisions, and considering how best to protect both trans tech creators and users.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Study design and conductnone given

    The study was conducted in a largely Western context, so the results may as easily apply to non-Western contexts.

    “Finally, our study was conducted in a largely Western context, so our results may as easily apply to non-Western contexts.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Interpretationreasoning

    The examples in this section highlight ways to prioritize trans safety when designing content moderation processes.

    “The examples in this section highlight ways to prioritize trans safety when designing content moderation processes.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning

    The concept of trans-centered moderation can help start to address transphobia online and also provide an example for how to listen to marginalized groups and make changes in response to their needs.

    “We draw from their approaches to governing their own communities to contribute the concept of trans-centered moderation, which can help start to address transphobia online and also provide an example for how to listen to marginalized groups and make changes in response to their needs.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning

    There are obvious power differentials between a platform's designers and policy-makers and the everyday user, but systems can be put in place to give users and their communities more power and more say into how a platform is governed.

    “There are obvious power differentials between a platform's designers and policy-makers and the everyday user, but systems can be put in place to give users and their communities more power and more say into how a platform is governed.”
    Quote in the paperNot a substantial 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. It may state two separate claims as one.

    Interpretationnone given

    The findings still speak to the larger online systems that propagate anti-trans sentiments and fail to address trans users' needs online.

    “However, our findings still speak to the larger online systems that propagate anti-trans sentiments and fail to address trans users' needs online.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Interpretationreasoning

    At the heart of the design suggestions is an approach of care towards trans people, whether a platform is explicitly/specifically trans or includes trans users.

    “At the heart of these design suggestions is an approach of care towards trans people, whether a platform is explicitly/specifically trans or includes trans users.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning

    Many mainstream platforms like Facebook, Instagram, and Twitter/X are run by centralized actors/stakeholders, but these platforms can still learn from trans tech creators' collective governance and community models.

    “While many mainstream platforms like Facebook, Instagram, and Twitter/X are run by centralized actors/stakeholders, these platforms can still learn from trans tech creators' collective governance and community models.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Interpretationreasoning

    Platforms' reliance on marginalized communities to moderate themselves requires substantial labor, especially for trans tech creators and their communities.

    “Platforms' reliance on marginalized communities to moderate themselves requires substantial labor, especially for trans tech creators and their communities.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Interpretationreasoning

    Both trans-centered moderation and the moderation systems discussed in the paper can speak not only to trans contexts, but marginalized contexts broadly.

    “Both trans-centered moderation and the moderation systems discussed here can speak not only to trans contexts, but marginalized contexts broadly, as we discuss below.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Interpretationcitation

    Considering trans safety in designing content moderation processes requires centering transness instead of employing a context-agnostic 'one-size-fits-all' approach that many larger social media platforms use.

    “Considering trans safety in designing content moderation processes requires centering transness instead of employing a context-agnostic”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [9]

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

    • cites [48]

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

  • It may state two separate claims as one.

    Interpretationreasoning

    Transphobic abuse and disproportionate content moderation underscore online experiences for trans people, and trans tech creators show us ways trans communities are already trying to account for these issues and actively work against them.

    “Transphobic abuse and disproportionate content moderation underscore online experiences for trans people, and trans tech creators show us ways trans communities are already trying to account for these issues and actively work against them.”
    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.

    Premisecitation

    Thach argued that there is an existing feedback loop between prevalent streamers on Twitch and Twitch's administration, where influential users call out the platform and ask their communities to assist in getting the platform to change policies and listen to its users; this feedback loop could be implemented on mainstream platforms by encouraging more user feedback from smaller communities.

    “Thach [53] argued that there is an existing feedback loop between prevalent streamers on Twitch and Twitch's administration, where influential users call out the platform and ask their communities to assist in getting the platform to change policies and listen to its users; this feedback loop could be implemented on mainstream platforms by encouraging more user feedback from smaller communities.”
    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. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Interpretationnone given

    Mainstream platforms that employ algorithmic content moderation tools may not be able to apply these revisions to their systems without retraining their algorithms to better catch anti-trans or other bigoted sentiments.

    “Mainstream platforms that employ algorithmic content moderation tools may not be able to apply these revisions to their systems without retraining their algorithms to better catch anti-trans or other bigoted sentiments.”
    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.

    Interpretationnone given

    More intensive vetting processes encumber already unpaid volunteer moderators with additional labor.

    “Unfortunately, more intensive vetting processes encumber already unpaid volunteer moderators with additional labor.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning

    By keeping in mind that online spaces reify structures of oppression, platforms will be better prepared to help implement changes that can benefit trans people and other marginalized users.

    “By keeping this in mind, platforms will be better prepared to help implement changes that can benefit trans people and other marginalized users.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationnone given

    Although trans people and technology design, even when combined, cannot fix society's ills or mainstream online platforms, trans tech creators offer important insights into how to better design moderation systems to protect trans people.

    “Although trans people and technology design, even when combined, cannot fix society's ills or mainstream online platforms, trans tech creators offer important insights into how to better design moderation systems to protect trans people.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.

    Interpretationnone given

    Marginalized people are not all the same, but issues they face are often shared or common across their identity group.

    “Relatedly, marginalized people are not all the same, but issues they face are often shared or common across their identity group.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationcitation

    Too much power in designers and policy-makers' hands can result in disproportionate moderation, but too little overhead review from platforms can result in abusive and bigoted content and the formation of extremist spaces.

    “This balance is tricky but a fruitful space to explore, as too much power in designers and policy-makers' hands can result in disproportionate moderation [26,47], but too little overhead review from platforms can result in abusive and bigoted content and the formation of extremist spaces [30,49].”
    Quote in the paperSubstantial claim0 of 4 sources checked
    • cites [26]

      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.

    • cites [30]

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

    • cites [49]

      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.

    Premisecitation

    To center marginalized groups when moderating content, directly involving members of marginalized groups while developing content moderation policy helps consider that group's context while reducing content moderation disparities.

    “To center marginalized groups when moderating content, Haimson et al. [26] argued that directly involving members of marginalized groups while developing content moderation policy helps consider that group's context while”
    Quote in the paperSubstantial 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. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning

    Plug-ins like Hayward's Deadname Remover are band-aid solutions that speak to a broader need to consider trans contexts in design and broader issues of cisnormativity writ large.

    “However, Plug-ins like Hayward's are band-aid solutions that speak to a broader need to consider trans contexts in design and broader issues of cisnormativity writ large.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Interpretationreasoning

    The Deadname Remover is one of many examples of trans technologies that help us to consider the limitations and constraints of technology for addressing social challenges.

    “The Deadname Remover is one of many examples of trans technologies that help us to consider the limitations and constraints of technology for addressing social challenges.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Study design and conductown data

    The study's sample is diverse in terms of gender, but the vast majority of participants live in the US and speak English.

    “While our sample is diverse in terms of gender, we acknowledge that the vast majority live in the US and speak English.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning

    Trans-centered moderation centers trans contexts by taking technologically-enabled transphobia seriously, and supporting trans tech creators and their communities to combat anti-trans actors and sentiments online.

    “Overall then, trans-centered moderation centers trans contexts by taking technologically-enabled transphobia seriously, and supporting trans tech creators and their communities to combat antitrans actors and sentiments online.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Interpretationcitation

    If viewed uncritically, trans-centered moderation may be seen as a technological-determinist view of technology and platforms, meaning giving technology undue power in its ability to fix social ills.

    “If viewed uncritically, trans-centered moderation may be seen as a technological-determinist view of technology and platforms; this means giving technology undue power in its ability to fix social ills [14,18].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [14]

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

    • cites [18]

      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 may give no reason why it holds. It may state two separate claims as one.

    Interpretationreasoning

    Approaches that center trans people, BIPOC people, women, and other marginalized groups may help to improve online spaces by reducing online abuse and providing more contextual moderation.

    “Approaches that center trans people, BIPOC people, women, and other marginalized groups may help to improve online spaces by reducing online abuse and providing more contextual moderation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Interpretationreasoning

    To reduce harm towards a marginalized group, technology designers must center that marginalized group in their design and moderation processes, considering how previous design and moderation frameworks may have been exclusionary or failed to account for that group's lived experiences.

    “To reduce harm towards a marginalized group, technology designers must center that marginalized group in their design and moderation processes, considering how previous design and moderation frameworks may have been exclusionary or failed to account for that group's lived experiences.”
    Quote in the paperNot a substantial 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.

    Interpretationnone given

    The method of learning directly from trans tech creators may work similarly for technology creators from other marginalized backgrounds.

    “Our method of learning directly from trans tech creators may work similarly for technology creators from other marginalized backgrounds.”
    Quote in the paperNot a substantial claim
101 of 101
  • The paper relies on this without support.

    Trans-centered content moderation principles cannot be easily deployed on larger mainstream platforms.

    “We discuss how trans-centered content moderation solutions are more likely to be employed in smaller-scale trans-built communities; yet this puts the onus on trans users and trans tech creators to moderate themselves, since trans-centered content moderation principles cannot be easily deployed on larger mainstream platforms.”
  • The paper relies on this without support.

    Trans tech creators' perspectives and design decisions are a valid basis for improving moderation for trans users and marginalized users more broadly.

    “Additionally, talking to people who create trans technologies (rather than technology users) uniquely makes visible the substantial work that moderation requires.”
  • The paper relies on this without support.

    Interview participants' self-reports accurately describe their technologies and moderation practices.

    “We asked participants about the ideation and creation of their technologies, the design processes and who was involved, challenges they faced, their conceptions of trans technology, and more.”
  • The paper relies on this without support.

    The sample of 115 trans tech creators is sufficient to identify prevalent themes.

    “We conducted 104 interviews with 115 trans tech designers and creators in 2021 and 2022.”
  • The paper relies on this without support.

    Trans technologies that include some form of content moderation system are representative of trans technologies more broadly.

    “In this paper, we focus on codes related to trans technologies and content moderation; as such, we only discuss trans technologies that include some form of content moderation system or tool (whether existing or potential).”
  • The paper relies on this without support.

    Mainstream platforms can adopt smaller-scale trans-centered moderation practices.

    “Further, we argue that mainstream platforms should draw from trans technologies' smaller-scale trans-centered content moderation implementations to improve their own content moderation systems.”
  • The paper relies on this without support.

    Many trans people face a common set of challenges when using social technologies.

    “Yet because many trans people face a common set of challenges when using social technologies, trans moderators can understand trans contexts more easily than cisgender moderators can.”
7 of 7

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 8

  1. Reuben Binns, Michael Veale, Max Van Kleek, and Nigel Shadbolt. 2017. Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation. In Social Informatics(Lecture Notes in Computer Science), Giovanni Luca Ciampaglia, Afra Mashhadi, and Taha Yasseri (Eds.). Springer International Publishing, 405–415.
  2. Avery Dame-Griff. 2023. The two revolutions: a history of the transgender internet. New York University Press, New York.
  3. GLAAD. 2023. Social Media Safety Index 2023. https://assets.glaad.org/m/7adb1180448da194/original/Social-Media-Safety-Index-2023.pdf
  4. Anna Lauren Hoffmann and Anne Jonas. 2016. Recasting Justice for Internet and Online Industry Research Ethics. https://papers.ssrn.com/abstract=2836690
  5. Sophia Cecelia Leveque and Gwendolyn Ann Smith. 2017. Trans / Active: A Biography of Gwendolyn Ann Smith. Library Partners Press.
  6. Lisa Nakamura. 2007. Digitizing race: visual cultures of the Internet. Number 23 in Electronic mediations. University of Minnesota Press, Minneapolis. OCLC: ocn154789875.
  7. Salty. 2019. Exclusive: An Investigation into Algorithmic Bias in Content Policing on Instagram. Technical Report. Salty. https://saltyworld.net/algorithmicbiasreport-2/ Section: #MeToo.
  8. Hibby Thach. 2023. "Should We Unban, Chat?": Communal Content Moderation on Twitch. Ph. D. Dissertation. University of Illinois at Chicago, Chicago, IL. https://www.proquest.com/openview/fdab77b69ba028f30f6315714c7ec144/1?pq-origsite=gscholar&cbl=18750&diss=y

Cited by

Sorted by citations

Metadata

Authors
Thach, H., Mayworm, S., Thomas, M., & Haimson, O. L.
Affiliations
University of Michigan (US)
Venue
The 2024 ACM Conference on Fairness Accountability and Transparency
Publisher
ACM
Published
2024-06-03
Pages
326-336
OpenAlex
W4399363162
Cited by
14
References
37
Citations by year
2026: 7 · 2025: 6 · 2024: 1
FWCI
2.21
Type
conference paper
Language
en
Open access
Locations
  • ACM Conference on Fairness, Accountability, and Transparency (FAccT) (publishedVersion, cc-by)
  • Deep Blue (University of Michigan) (submittedVersion)
Funders
National Science Foundation (1942125 | 2210841)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
  • Social Sciences › Psychology › Social Psychology › LGBTQ Health, Identity, and Policy
Keywords
content moderation, transphobia, collective governance, community governance, marginalized users

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.

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