论文标题
机器人，虚假信息和第一个特朗普弹each
Bots, Disinformation, and the First Trump Impeachment
论文作者
论文摘要
自动社交媒体帐户（称为机器人）已被证明可以传播虚假信息并操纵在线讨论。在美国总统唐纳德·特朗普（Donald Trump）的第一次弹each期间，我们研究了转发机器人在Twitter上的行为。我们从360万用户以及他们的5360万Edge追随者网络中收集了超过6770万张弹each的推文。我们发现，尽管机器人占所有用户的1％，但它们产生了与弹each相关的推文的31％以上。我们还发现机器人有更多的虚假信息，但使用比其他用户使用的有毒语言更少。在QANON阴谋论的支持者中，一项流行的虚假信息运动，机器人的流行率接近10％。 QANON支持者的追随者网络表现出分层结构，机器人充当中央枢纽，被孤立的人包围。我们使用广义谐波影响中心度度量来量化机器人影响。我们发现有更多的Pro-Trump机器人，但是根据机器人，反特朗普和亲特朗普机器人的影响相似，而Qanon机器人的影响较小。这种较低的影响是由于Qanon追随者网络的同质性造成的，这表明这种虚假信息主要是在在线回声室内传播的。
Automated social media accounts, known as bots, have been shown to spread disinformation and manipulate online discussions. We study the behavior of retweet bots on Twitter during the first impeachment of U.S. President Donald Trump. We collect over 67.7 million impeachment related tweets from 3.6 million users, along with their 53.6 million edge follower network. We find although bots represent 1% of all users, they generate over 31% of all impeachment related tweets. We also find bots share more disinformation, but use less toxic language than other users. Among supporters of the Qanon conspiracy theory, a popular disinformation campaign, bots have a prevalence near 10%. The follower network of Qanon supporters exhibits a hierarchical structure, with bots acting as central hubs surrounded by isolated humans. We quantify bot impact using the generalized harmonic influence centrality measure. We find there are a greater number of pro-Trump bots, but on a per bot basis, anti-Trump and pro-Trump bots have similar impact, while Qanon bots have less impact. This lower impact is due to the homophily of the Qanon follower network, suggesting this disinformation is spread mostly within online echo-chambers.
