Using BERT to Understand TikTok Users’ ADHD Discussion

Kayla Pineda, A. M. Perrotti, Faryaneh Poursardar, Danielle Graber, S. Jayarathna
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Abstract

The rapid rise in popularity of the social media platform TikTok has allowed information to reach a wider audience at a faster rate compared to traditional news outlets. With this growth, more young people are connected with each other, allowing discussion on issues of mental health, a once stigmatized topic, to grow among young people. However, not all information about mental health issues is done properly or accurately. A commonly discussed mental health issue on TikTok is Attention-Deficit/Hyperactivity Disorder, known as ADHD. In this paper, we briefly describe how ADHD is portrayed on TikTok. Then, we analyze ADHD discussion around themes of self-diagnosis, symptoms, and self-help through text analysis using BERT. We analyze the common responses to ADHD TikToks and set up a multi-label classifier to understand the general range of responses.
使用BERT理解TikTok用户对ADHD的讨论
与传统新闻媒体相比,社交媒体平台TikTok的人气迅速上升,使得信息能够以更快的速度接触到更广泛的受众。随着这一增长,越来越多的年轻人相互联系起来,使得关于心理健康问题的讨论,这个曾经被污名化的话题,在年轻人中得到了发展。然而,并非所有关于心理健康问题的信息都是正确或准确的。在TikTok上经常讨论的一个心理健康问题是注意力缺陷/多动障碍(ADHD)。在本文中,我们简要描述了如何在TikTok上描绘ADHD。然后,我们通过使用BERT的文本分析来分析围绕自我诊断、症状和自助主题的ADHD讨论。我们分析了对ADHD tiktok的常见反应,并建立了一个多标签分类器来理解反应的一般范围。
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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