A Postmortem of Suspended Twitter Accounts in the 2016 U.S. Presidential Election

Huyen T. Le, G. Boynton, Zubair Shafiq, P. Srinivasan
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引用次数: 15

Abstract

Social media sites such as Twitter have faced significant pressure to mitigate spam and abuse on their platform in the aftermath of congressional investigations into Russian interference in the 2016 U.S. presidential election. Twitter publicly acknowledged the exploitation of their platform and has since conducted aggressive cleanups to suspend the involved accounts. To shed light on Twitter's countermeasures, we conduct a postmortem analysis of about one million Twitter accounts who engaged in the 2016 U.S. presidential election but were later suspended by Twitter. To systematically analyze coordinated activities of these suspended accounts, we group them into communities based on their retweet/mention network and analyze different characteristics such as popular tweeters, domains, and hashtags. The results show that suspended and regular communities exhibit significant differences in terms of popular tweeter and hashtags. Our qualitative analysis also shows that suspended communities are heterogeneous in terms of their characteristics. We further find that accounts suspended by Twitter's new countermeasures are tightly connected to the original suspended communities.
2016年美国总统大选中被暂停的推特账户的事后分析
在美国国会调查俄罗斯干预2016年美国总统大选之后,推特等社交媒体网站面临着减少其平台上垃圾邮件和滥用行为的巨大压力。Twitter公开承认他们的平台受到了利用,并从那以后进行了积极的清理,暂停了相关账户。为了揭示推特的应对措施,我们对大约100万个参与2016年美国总统大选但后来被推特暂停的推特账户进行了事后分析。为了系统分析这些被封账户的协同活动,我们根据其转发/提及网络将其分组为社区,并分析不同的特征,如热门推特、域名和标签。结果显示,暂停和正常社区在受欢迎的推特和标签方面表现出显著差异。我们的定性分析还表明,悬浮群落在其特征方面具有异质性。我们进一步发现,被Twitter新对策封禁的账户与原来封禁的社区紧密相连。
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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