How Different Genders Use Profanity on Twitter?

S. Wong, P. Teh, Chi-Bin Cheng
{"title":"How Different Genders Use Profanity on Twitter?","authors":"S. Wong, P. Teh, Chi-Bin Cheng","doi":"10.1145/3388142.3388145","DOIUrl":null,"url":null,"abstract":"Social media, is often the go-to place where people discuss their opinions and share their feelings. As some platforms provide more anonymity than others, users have taken advantage of that privilege, by sitting behind the screen, the use of profanity has been able to create a toxic environment. Although not all profanities are used to offend people, it is undeniable that the anonymity has allowed social media users to express themselves more freely, increasing the likelihood of swearing. In this study, the use of profanity by different gender classes is compiled, and the findings showed that different genders often employ swear words from different hate categories, e.g. males tend to use more terms from the \"disability\" hate group. Classification models have been developed to predict the gender of tweet authors, and results showed that profanity could be used to uncover the gender of anonymous users. This shows the possibility that profiling of cyberbullies can be done from the aspect of gender based on profanity usage.","PeriodicalId":409298,"journal":{"name":"Proceedings of the 2020 the 4th International Conference on Compute and Data Analysis","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 the 4th International Conference on Compute and Data Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3388142.3388145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Social media, is often the go-to place where people discuss their opinions and share their feelings. As some platforms provide more anonymity than others, users have taken advantage of that privilege, by sitting behind the screen, the use of profanity has been able to create a toxic environment. Although not all profanities are used to offend people, it is undeniable that the anonymity has allowed social media users to express themselves more freely, increasing the likelihood of swearing. In this study, the use of profanity by different gender classes is compiled, and the findings showed that different genders often employ swear words from different hate categories, e.g. males tend to use more terms from the "disability" hate group. Classification models have been developed to predict the gender of tweet authors, and results showed that profanity could be used to uncover the gender of anonymous users. This shows the possibility that profiling of cyberbullies can be done from the aspect of gender based on profanity usage.
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
不同性别的人如何在推特上使用脏话?
社交媒体通常是人们讨论他们的观点和分享他们的感受的地方。由于一些平台比其他平台提供更多的匿名性,用户利用了这一特权,通过坐在屏幕后面,使用亵渎已经能够创造一个有毒的环境。虽然不是所有的脏话都是用来冒犯别人的,但不可否认的是,匿名让社交媒体用户可以更自由地表达自己,增加了说脏话的可能性。在本研究中,对不同性别阶层的脏话使用情况进行了汇总,研究结果表明,不同性别的人使用的脏话往往来自不同的仇恨类别,例如男性倾向于使用更多来自“残疾”仇恨群体的词语。已经开发了分类模型来预测推文作者的性别,结果表明,亵渎可以用来揭示匿名用户的性别。这表明,基于脏话的使用,可以从性别方面对网络恶霸进行分析。
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
A Framework for Intelligent Navigation Using Latent Dirichlet Allocation on Reddit Posts About Opiates Design of the base isolation system with artificial neural network models An Approach to Temporal Phase Classification on Videos of the Volleyball's Basic Reception Technique A Hybrid Model of Clustering and Neural Network Using Weather Conditions for Energy Management in Buildings Sentiment and Emotion Analyses for Malaysian Mobile Digital Payment Applications
×
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