Nonsuicidal Self‐Injury and Content Moderation on TikTok

Q3 Social Sciences
Valerie Vera
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引用次数: 0

Abstract

ABSTRACT Online nonsuicidal self‐injury communities commonly create and share information on harm reduction strategies and exchange social support on social media platforms, including the short‐form video sharing platform TikTok. While TikTok's Community Guidelines permit users to share personal experiences with mental health topics, TikTok explicitly bans content depicting, promoting, normalizing, or glorifying activities that could lead to self‐harm. As such, TikTok may moderate user‐generated content, leading to exclusion and marginalization in this digital space. Through semi‐structured interviews with eight TikTok users with a history of nonsuicidal self‐injury, this pilot study explores how users experience TikTok's algorithm to create and engage with content on nonsuicidal self‐injury. Findings demonstrate that users understand how to circumnavigate TikTok's algorithm through algospeak (i.e., codewords or turns of phrases) and signaling to maintain visibility on the platform. Further, findings emphasize that users actively engage in self‐surveillance and self‐censorship to create a safe online community. In turn, content moderation can ultimately hinder progress toward the destigmatization of nonsuicidal self‐injury and restrict social support exchanged within online nonsuicidal self‐injury communities.
TikTok上的非自杀式自残和内容审核
在线非自杀性自伤社区通常在社交媒体平台上创建和分享有关减少伤害策略的信息,并在短视频分享平台TikTok上交换社会支持。虽然TikTok的社区指南允许用户分享有关心理健康话题的个人经历,但TikTok明确禁止描述、宣传、正常化或美化可能导致自我伤害的活动的内容。因此,TikTok可能会限制用户生成的内容,导致这个数字空间的排斥和边缘化。通过对8位有非自杀性自伤史的TikTok用户进行半结构化访谈,这项试点研究探讨了用户如何体验TikTok的算法来创建和参与有关非自杀性自伤的内容。研究结果表明,用户了解如何通过算法语言(即码字或短语转换)和信号绕过TikTok的算法,以保持在平台上的可见性。此外,研究结果强调,用户积极参与自我监视和自我审查,以创建一个安全的在线社区。反过来,内容审核最终会阻碍非自杀性自伤行为去污名化的进程,并限制在线非自杀性自伤社区内交换的社会支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proceedings of the Association for Information Science and Technology
Proceedings of the Association for Information Science and Technology Social Sciences-Library and Information Sciences
CiteScore
1.30
自引率
0.00%
发文量
164
期刊介绍: Information not localized
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