Given the popularity of social media and the notion of it being a platform encouraging free speech, it has become an open playground for user (bot) accounts trying to manipulate other users using these platforms. Social bots not only learn human conversations, manners, and presence but also manipulate public opinion, act as scammers, manipulate stock markets, etc. There has been evidence of bots manipulating the election results which can be a great threat to the whole nation and hence the whole world. So identification and prevention of such campaigns that release or create the bots have become critical to tackling it at its source of origin. Our goal is to leverage semantic web mining techniques to identify fake bots or accounts involved in these activities.
翻译:鉴于社交媒体的受欢迎程度,以及将它视为一个鼓励言论自由的平台,它已经成为用户(机器人)账户试图利用这些平台操纵其他用户的开放游乐场。 社交机器人不仅学习人的对话、方式和存在,还操纵公众舆论,充当骗子,操纵股票市场等。 有证据表明,机器人操纵选举结果,可能对全国乃至整个世界构成巨大威胁。 因此,识别和预防这种释放或创建机器人的运动,对于从源头着手解决问题至关重要。 我们的目标是利用语义网络挖掘技术识别假机器人或参与这些活动的账户。