Demystifying the Messaging Platforms' Ecosystem Through the Lens of Twitter

M. Hoseini, P. Melo, Manoel Júnior, Fabrício Benevenuto, B. Chandrasekaran, A. Feldmann, Savvas Zannettou
{"title":"Demystifying the Messaging Platforms' Ecosystem Through the Lens of Twitter","authors":"M. Hoseini, P. Melo, Manoel Júnior, Fabrício Benevenuto, B. Chandrasekaran, A. Feldmann, Savvas Zannettou","doi":"10.1145/3419394.3423651","DOIUrl":null,"url":null,"abstract":"Online messaging platforms such as WhatsApp, Telegram, and Discord, each with hundreds of millions of users, are one of the dominant modes of communicating or interacting with one another. Despite the widespread use of public group chats, there exists no systematic or detailed characterization of these group chats. There is, more importantly, lack of a general understanding of how these (public) groups differ in characteristics and use across the different platforms. We also do not know whether the messaging platforms expose personally identifiable information, and we lack a comprehensive view of the privacy implications of leaks for the users. In this work, we address these gaps by analyzing the messaging platforms' ecosystem through the lens of a popular social media platform---Twitter. We search for WhatsApp, Telegram, and Discord group URLs posted on Twitter over a period of 38 days and amass a set of 351K unique group URLs. We analyze the content accompanied by group URLs on Twitter, finding interesting differences related to the topics of the groups across the multiple messaging platforms. By monitoring the characteristics of these groups, every day for more than a month, and, furthermore, by joining a subset of 616 groups across the different messaging platforms, we share key insights into the discovery of these groups via Twitter and reveal how these groups change over time. Finally, we analyze whether messaging platforms expose personally identifiable information. In this paper, we show that (a) Twitter is a rich source for discovering public groups in the different messaging platforms, (b) group URLs from messaging platforms are ephemeral, and (c) the considered messaging platforms expose personally identifiable information, with such leaks being more prevalent on WhatsApp than on Telegram and Discord.","PeriodicalId":255324,"journal":{"name":"Proceedings of the ACM Internet Measurement Conference","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM Internet Measurement Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3419394.3423651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

Online messaging platforms such as WhatsApp, Telegram, and Discord, each with hundreds of millions of users, are one of the dominant modes of communicating or interacting with one another. Despite the widespread use of public group chats, there exists no systematic or detailed characterization of these group chats. There is, more importantly, lack of a general understanding of how these (public) groups differ in characteristics and use across the different platforms. We also do not know whether the messaging platforms expose personally identifiable information, and we lack a comprehensive view of the privacy implications of leaks for the users. In this work, we address these gaps by analyzing the messaging platforms' ecosystem through the lens of a popular social media platform---Twitter. We search for WhatsApp, Telegram, and Discord group URLs posted on Twitter over a period of 38 days and amass a set of 351K unique group URLs. We analyze the content accompanied by group URLs on Twitter, finding interesting differences related to the topics of the groups across the multiple messaging platforms. By monitoring the characteristics of these groups, every day for more than a month, and, furthermore, by joining a subset of 616 groups across the different messaging platforms, we share key insights into the discovery of these groups via Twitter and reveal how these groups change over time. Finally, we analyze whether messaging platforms expose personally identifiable information. In this paper, we show that (a) Twitter is a rich source for discovering public groups in the different messaging platforms, (b) group URLs from messaging platforms are ephemeral, and (c) the considered messaging platforms expose personally identifiable information, with such leaks being more prevalent on WhatsApp than on Telegram and Discord.
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
从Twitter的视角揭秘信息平台的生态系统
WhatsApp、Telegram和Discord等在线消息平台都拥有数亿用户,是彼此沟通或互动的主要模式之一。尽管公共群聊被广泛使用,但目前还没有对这些群聊进行系统或详细的描述。更重要的是,缺乏对这些(公共)群体在不同平台上的特征和使用方式的差异的一般理解。我们也不知道消息传递平台是否暴露了个人身份信息,我们对泄露对用户的隐私影响缺乏全面的了解。在这项工作中,我们通过一个流行的社交媒体平台——Twitter——来分析消息平台的生态系统,以解决这些差距。我们在38天的时间里搜索在Twitter上发布的WhatsApp, Telegram和Discord组url,并收集了一组351K个唯一的组url。我们分析了Twitter上带有组url的内容,发现了与多个消息传递平台上的组主题相关的有趣差异。通过在一个多月的时间里每天监测这些群组的特征,此外,通过在不同的消息传递平台上加入616个群组的子集,我们分享了通过Twitter发现这些群组的关键见解,并揭示了这些群组是如何随时间变化的。最后,我们分析了消息传递平台是否暴露了个人身份信息。在本文中,我们表明(a) Twitter是在不同的消息传递平台中发现公共组的丰富来源,(b)来自消息传递平台的组url是短暂的,以及(c)考虑的消息传递平台暴露个人身份信息,这种泄漏在WhatsApp上比在Telegram和Discord上更为普遍。
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
Lumos5G A Bird's Eye View of the World's Fastest Networks Quantifying the Impact of Blocklisting in the Age of Address Reuse TopoScope No WAN's Land: Mapping U.S. Broadband Coverage with Millions of Address Queries to ISPs
×
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