论文标题
建模社交媒体帐户行为的一般语言
A General Language for Modeling Social Media Account Behavior
论文作者
论文摘要
恶意演员利用社交媒体夸大股票价格，摇摆选举，传播错误信息和播种不和谐。对于这些目的，他们采用了包括使用不真实的帐户和运动的策略。目前检测这些滥用的方法依赖于专门针对可疑行为的特征。但是，随着恶意行为的发展，这些方法的有效性衰减了。为了应对这一挑战，我们提出了一种对社交媒体帐户行为进行建模的通用语言。该语言中的单词称为Bloc，由代表用户操作和内容的不同字母绘制的符号组成。该语言具有很高的灵活性，可用于建模广泛而可疑的在线行为而无需进行广泛的微调。使用BLOC代表Twitter帐户的行为，我们在检测社交机器人和协调的不真实行为时实现了与最先进的方法相当或更好的绩效。
Malicious actors exploit social media to inflate stock prices, sway elections, spread misinformation, and sow discord. To these ends, they employ tactics that include the use of inauthentic accounts and campaigns. Methods to detect these abuses currently rely on features specifically designed to target suspicious behaviors. However, the effectiveness of these methods decays as malicious behaviors evolve. To address this challenge, we propose a general language for modeling social media account behavior. Words in this language, called BLOC, consist of symbols drawn from distinct alphabets representing user actions and content. The language is highly flexible and can be applied to model a broad spectrum of legitimate and suspicious online behaviors without extensive fine-tuning. Using BLOC to represent the behaviors of Twitter accounts, we achieve performance comparable to or better than state-of-the-art methods in the detection of social bots and coordinated inauthentic behavior.
