TikTok as algorithmically mediated biographical illumination: Autism, self-discovery, and platformed diagnosis on #autisktok

M. Alper, J. Rauchberg, Ellen Simpson, Joshua Guberman, Sarah Feinberg
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Abstract

Scholarship in the sociology of medicine has tended to characterize diagnosis as disruptive to one’s self-concept. This categorization, though, requires reconsideration in light of public conversations about mental health and community building around neurocognitive conditions, particularly among youth online. Drawing upon Tan’s notion of “biographical illumination” (BI), which describes how medical frameworks can enrich personal biographies, we explored the shifting nature of BI through the case of TikTok. Combining quantitative and qualitative methods, we argue that TikTok serves as a space to discuss diagnosis and refine one’s sense of self as a result of diagnosis. However, such personal transformation is inseparable from the app’s affordances, or what we term “algorithmically mediated biographical illumination.” BI shapes TikTok as a platform, and TikTok informs BI as a psychosocial process, leading to what we call “platformed diagnosis.” These findings have broader critical applications for the study of algorithms, disability, and digital platforms.
TikTok作为算法中介的传记照明:自闭症、自我发现和#autisktok的平台诊断
医学社会学的学术研究倾向于将诊断定性为对一个人自我概念的破坏。然而,这种分类需要根据公众对心理健康的讨论和围绕神经认知状况的社区建设进行重新考虑,尤其是在网上的年轻人中。Tan的“传记启发”(BI)概念描述了医疗框架如何丰富个人传记,我们通过TikTok的案例探讨了BI的变化本质。结合定量和定性方法,我们认为TikTok是一个讨论诊断的空间,并通过诊断来完善自我意识。然而,这种个人转变离不开应用程序的功能,或者我们所说的“算法介导的传记照明”。BI将TikTok塑造成一个平台,而TikTok将BI作为一个心理社会过程来告知,从而导致我们所说的“平台诊断”。这些发现对于算法、残疾和数字平台的研究具有更广泛的关键应用。
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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