Cyberbullying detection through deep learning: A case study of Turkish celebrities on Twitter

Web Intell. Pub Date : 2023-03-20 DOI:10.3233/web-221805
Bulut Karadağ, A. Akbulut, A. Zaim
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Abstract

One of the ways that celebs maintain their fame in the modern era is by posting updates and photos to social media platforms like Twitter, Instagram, and Facebook. Comments left on their posts, however, expose them to cyberbullying. Cyberbullying, as a form of electronic device-based harassment, negatively impacts the lives of individuals. Thirty famous people from the fields of acting, art, music, politics, sports, and writing were chosen for this research. These notable figures include the top five Twitter followers of Turkey in each demographic. Between December 2019 and December 2020, comment responses for each celebrity were collated. Using the Deep Learning model, we were able to detect abuse content with an accuracy of 89%. Additionally, the percentage of celebrities exposed to cyberbullying by group was presented.
基于深度学习的网络欺凌检测:以Twitter上的土耳其名人为例
在现代,名人保持名气的方法之一是在Twitter、Instagram和Facebook等社交媒体平台上发布最新消息和照片。然而,在他们的帖子下留下的评论使他们暴露在网络欺凌之下。网络欺凌作为一种基于电子设备的骚扰形式,对个人的生活产生了负面影响。30位来自表演、艺术、音乐、政治、体育和写作领域的名人被选为这项研究的对象。这些值得注意的数字包括土耳其推特上的前五名粉丝。在2019年12月至2020年12月期间,对每位名人的评论回复进行了整理。使用深度学习模型,我们能够以89%的准确率检测滥用内容。此外,还按群体列出了遭受网络欺凌的名人比例。
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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