论文标题

在Twitter上误导了重新利用

Misleading Repurposing on Twitter

论文作者

Elmas, Tuğrulcan, Overdorf, Rebekah, Aberer, Karl

论文摘要

我们介绍了关于误导性重新利用的第一个深入和大规模研究,其中恶意用户还通过更改个人媒体帐户的身份来改变个人资料属性的身份,以便在保留其关注者的同时使用该帐户来使用该帐户。我们为行为和一种方法提供了一个定义,该定义使用了从Internet存档的Twitter流grab挖掘的数据上使用监督的学习,以将其定义为标志重新设计的帐户。我们发现可能已重新使用的100,000多个帐户。我们还表征了重新调整的帐户,并发现在一段时间不活动和删除旧推文后,它们更有可能被重新使用。我们还提供了证据表明,对手的目标是具有较高追随者的计数以重新利用的账户,并且有些人通过参与后续方案而使他们具有高的追随者计数。我们提出的结果对社交媒体平台的安全性和完整性,对如何考虑历史数据的数据科学研究有影响,以及在人们如何欺骗用户对意见的普及方面的整体社会。

We present the first in-depth and large-scale study of misleading repurposing, in which a malicious user changes the identity of their social media account via, among other things, changes to the profile attributes in order to use the account for a new purpose while retaining their followers. We propose a definition for the behavior and a methodology that uses supervised learning on data mined from the Internet Archive's Twitter Stream Grab to flag repurposed accounts. We found over 100,000 accounts that may have been repurposed. We also characterize repurposed accounts and found that they are more likely to be repurposed after a period of inactivity and deleting old tweets. We also provide evidence that adversaries target accounts with high follower counts to repurpose, and some make them have high follower counts by participating in follow-back schemes. The results we present have implications for the security and integrity of social media platforms, for data science studies in how historical data is considered, and for society at large in how users can be deceived about the popularity of an opinion.

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