How does Twitter account moderation work? Dynamics of account creation and suspension on Twitter during major geopolitical events.

IF 3 2区 计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
EPJ Data Science Pub Date : 2023-01-01 Epub Date: 2023-10-04 DOI:10.1140/epjds/s13688-023-00420-7
Francesco Pierri, Luca Luceri, Emily Chen, Emilio Ferrara
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引用次数: 14

Abstract

Social media moderation policies are often at the center of public debate, and their implementation and enactment are sometimes surrounded by a veil of mystery. Unsurprisingly, due to limited platform transparency and data access, relatively little research has been devoted to characterizing moderation dynamics, especially in the context of controversial events and the platform activity associated with them. Here, we study the dynamics of account creation and suspension on Twitter during two global political events: Russia's invasion of Ukraine and the 2022 French Presidential election. Leveraging a large-scale dataset of 270M tweets shared by 16M users in multiple languages over several months, we identify peaks of suspicious account creation and suspension, and we characterize behaviors that more frequently lead to account suspension. We show how large numbers of accounts get suspended within days of their creation. Suspended accounts tend to mostly interact with legitimate users, as opposed to other suspicious accounts, making unwarranted and excessive use of reply and mention features, and sharing large amounts of spam and harmful content. While we are only able to speculate about the specific causes leading to a given account suspension, our findings contribute to shedding light on patterns of platform abuse and subsequent moderation during major events.

Abstract Image

Twitter帐户审核是如何工作的?重大地缘政治事件期间推特账户创建和暂停的动态。
社交媒体节制政策经常处于公众辩论的中心,其实施和颁布有时被神秘的面纱所包围。不出所料,由于平台透明度和数据访问有限,专门研究缓和动态的研究相对较少,尤其是在有争议事件及其相关平台活动的背景下。在这里,我们研究了两个全球政治事件期间推特账户创建和暂停的动态:俄罗斯入侵乌克兰和2022年法国总统大选。利用1600万用户在几个月内以多种语言共享的2.7亿条推文的大规模数据集,我们确定了可疑账户创建和暂停的峰值,并描述了更频繁导致账户暂停的行为。我们展示了大量账户是如何在创建后几天内被暂停的。与其他可疑账户相比,被暂停的账户大多与合法用户互动,无端和过度使用回复和提及功能,并共享大量垃圾邮件和有害内容。虽然我们只能推测导致特定账户暂停的具体原因,但我们的发现有助于揭示重大事件中平台滥用和随后节制的模式。
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来源期刊
EPJ Data Science
EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -
CiteScore
6.10
自引率
5.60%
发文量
53
审稿时长
13 weeks
期刊介绍: EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
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