Using BERT to Understand TikTok Users’ ADHD Discussion

Kayla Pineda, A. M. Perrotti, Faryaneh Poursardar, Danielle Graber, S. Jayarathna
{"title":"Using BERT to Understand TikTok Users’ ADHD Discussion","authors":"Kayla Pineda, A. M. Perrotti, Faryaneh Poursardar, Danielle Graber, S. Jayarathna","doi":"10.1109/IRI58017.2023.00043","DOIUrl":null,"url":null,"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.","PeriodicalId":290818,"journal":{"name":"2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI58017.2023.00043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research Paper Classification and Recommendation System based-on Fine-Tuning BERT Using BERT to Understand TikTok Users’ ADHD Discussion Enhancing Noisy Binary Search Efficiency through Deep Reinforcement Learning Copyright An Approach to Testing Banking Software Using Metamorphic Relations
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1