通过删除操作Twitter
Manipulating Twitter Through Deletions
摘要：
对Twitter上影响力活动的研究主要依赖于从通过公共API获得的推文中识别恶意活动。这些API提供对尚未删除的公共推文的访问。然而，不良行为者可以策略性地删除内容以操纵系统。不幸的是，基于公开的Twitter数据的估计低估了真实的删除量。在这里，我们提供了第一个详尽的，大规模的异常删除模式分析，涉及超过1100万个帐户的超过10亿次删除。我们发现，一小部分账户每天都会删除大量推文。我们还发现了两种利用删除的滥用行为。首先，推特数量的限制被规避，允许某些账户每天在网络上发布超过2.6万条推特。其次，协调的账户网络对最终被删除的内容进行重复的喜欢和不喜欢，这可以操纵排名算法。这些类型的滥用可以被利用来放大内容和提高知名度，同时逃避检测。我们的研究为平台和研究人员提供了识别社交媒体滥用的新方法。
英文摘要：
Research into influence campaigns on Twitter has mostly relied on identifying malicious activities from tweets obtained via public APIs. These APIs provide access to public tweets that have not been deleted. However, bad actors can delete content strategically to manipulate the system. Unfortunately, estimates based on publicly available Twitter data underestimate the true deletion volume. Here, we provide the first exhaustive, large-scale analysis of anomalous deletion patterns involving more than a billion deletions by over 11 million accounts. We find that a small fraction of accounts delete a large number of tweets daily. We also uncover two abusive behaviors that exploit deletions. First, limits on tweet volume are circumvented, allowing certain accounts to flood the network with over 26 thousand daily tweets. Second, coordinated networks of accounts engage in repetitive likes and unlikes of content that is eventually deleted, which can manipulate ranking algorithms. These kinds of abuse can be exploited to amplify content and inflate popularity, while evading detection. Our study provides platforms and researchers with new methods for identifying social media abuse.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
