Safe spaces or toxic places? Content moderation and social dynamics of online eating disorder communities.

IF 2.5 2区 计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
EPJ Data Science Pub Date : 2025-01-01 Epub Date: 2025-07-25 DOI:10.1140/epjds/s13688-025-00575-5
Kristina Lerman, Minh Duc Chu, Charles Bickham, Luca Luceri, Emilio Ferrara
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引用次数: 0

Abstract

Social media platforms have become critical spaces for discussing mental health concerns, including eating disorders. While these platforms can provide valuable support networks, they may also amplify harmful content that glorifies disordered cognition and self-destructive behaviors. While social media platforms have implemented various content moderation strategies, from stringent to laissez-faire approaches, we lack a comprehensive understanding of how these different moderation practices interact with user engagement in online communities around these sensitive mental health topics. This study addresses this knowledge gap through a comparative analysis of eating disorder discussions across Twitter/X (2.6M tweets), Reddit (178K submissions), and TikTok (14K videos) spanning from 2019-2023. Our findings reveal that while users across all platforms engage similarly in expressing concerns and seeking support, platforms with weaker moderation (like Twitter/X) enable the formation of toxic echo chambers that amplify pro-anorexia rhetoric. These results demonstrate how moderation strategies significantly influence the development and impact of online communities, particularly in contexts involving mental health and self-harm.

安全的地方还是有毒的地方?在线饮食失调社区的内容节制和社会动态。
社交媒体平台已经成为讨论包括饮食失调在内的心理健康问题的关键空间。虽然这些平台可以提供有价值的支持网络,但它们也可能放大美化无序认知和自我毁灭行为的有害内容。虽然社交媒体平台已经实施了各种内容审核策略,从严格的到自由放任的方法,但我们对这些不同的审核实践如何与在线社区中围绕这些敏感的心理健康话题的用户参与相互作用缺乏全面的了解。这项研究通过对2019年至2023年期间Twitter/X(260万条推文)、Reddit(17.8万份提交)和TikTok (14K视频)上关于饮食失调的讨论进行比较分析,解决了这一知识差距。我们的研究结果显示,虽然所有平台的用户都在表达担忧和寻求支持方面表现相似,但适度程度较弱的平台(如Twitter/X)会形成有毒的回音室,放大支持厌食症的言论。这些结果表明,适度策略如何显著影响在线社区的发展和影响,特别是在涉及心理健康和自我伤害的情况下。
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
EPJ Data Science
EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -
CiteScore
6.10
自引率
5.60%
发文量
53
审稿时长
13 weeks
期刊介绍: EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
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