论文标题
您正在关注几个机器人？
How many bots are you following?
论文作者
论文摘要
社交媒体正在发展，随着新闻的普遍来源，能够通过传播能力吸引更大的受众。主要缺点是由恶意帐户（称为社交机器人）的存在给出的，这些账户通常用于扩散误导性信息。社会机器人是自动帐户，其目标是与人类互动并影响他们。从可爱的定义（即，在跟随者中有很高比例的机器人朋友的账户的定义开始，在这项工作中，我们旨在挑出一个回归模型，并以可接受的错误范围来得出，人类经营的账户的bot tollowees的百分比。优势在于，在哪个预防措施中，可以将bots的目标显示出来，以示意我们的活动，以示意我们的活动。最佳回归模型的平均绝对误差为3.62％，均方根误差为5.96％，从而鼓励朝这个方向进行进一步研究。
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.
