Social Media are evolving as a pervasive source of news able to reach a larger audience through their spreading power. The main drawback is given by the presence of malicious accounts, known as social bots, which are often used to diffuse misleading information. Social bots are automated accounts whose goal is to interact with humans and influence them. Starting from the definition of credulous (i.e., human accounts with a high percentage of bot friends among their followees, in this work we aim to single out a regression model to derive, with an acceptable margin of error, the percentage of bot-followees of a human-operated account. The advantage lies in knowing, as a preventive measure, which users may be the target of bots' activities, hence more exposed to the misleading/unreliable content. Our results showed that the best regression model achieves a Mean Absolute Error of 3.62% and a Root Mean Squared Error of 5.96%, thus encouraging further research in this direction.

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你关注了多少机器人？

社交媒体正在发展成为一种普遍的新闻来源，能够通过其传播能力覆盖更多受众。主要缺点是存在恶意帐户，称为社交机器人，通常用于传播误导性信息。社交机器人是自动化帐户，其目标是与人类互动并影响他们。从轻信的定义开始（即，在他们的追随者中机器人朋友比例很高的人类账户，在这项工作中，我们的目标是挑选出一个回归模型，以可接受的误差范围推导出机器人追随者的百分比一个人工操作的帐户。优势在于作为预防措施，知道哪些用户可能是机器人活动的目标，因此更容易接触到误导性/不可靠的内容。