Chang Ho-Chun Herbert, Ferrara Emilio
Annenberg School for Communication and Journalism, University of Southern California, Los Angeles, CA 90007 USA.
Information Science Institute, Los Angeles, CA 90292 USA.
J Comput Soc Sci. 2022;5(2):1409-1425. doi: 10.1007/s42001-022-00173-9. Epub 2022 Jun 30.
Using more than 4 billion tweets and labels on more than 5 million users, this paper compares the behavior of humans and bots politically and semantically during the pandemic. Results reveal liberal bots are more central than humans in general, but less important than institutional humans as the elite circle grows smaller. Conservative bots are surprisingly absent when compared to prior work on political discourse, but are better than liberal bots at eliciting replies from humans, which suggest they may be perceived as human more frequently. In terms of topic and framing, conservative humans and bots disproportionately tweet about the Bill Gates and bio-weapons conspiracy, whereas the 5G conspiracy is bipartisan. Conservative humans selectively ignore mask-wearing and we observe prevalent out-group tweeting when discussing policy. We discuss and contrast how humans appear more centralized in health-related discourse as compared to political events, which suggests the importance of credibility and authenticity for public health in online information diffusion.
本文使用超过40亿条推文以及500多万用户的标签,比较了疫情期间人类和机器人在政治和语义方面的行为。结果显示,总体而言,自由派机器人比人类更处于核心地位,但随着精英圈子变小,其重要性不如机构中的人类。与之前关于政治话语的研究相比,保守派机器人出人意料地缺席,但在引发人类回复方面比自由派机器人表现更好,这表明它们可能更频繁地被视为人类。在话题和框架方面,保守派人类和机器人不成比例地大量发布关于比尔·盖茨和生物武器阴谋的推文,而5G阴谋则是两党都有涉及。保守派人类选择性地忽略戴口罩的问题,并且我们观察到在讨论政策时存在普遍的群体外推文现象。我们讨论并对比了与政治事件相比,人类在健康相关话语中如何显得更加集中,这表明在在线信息传播中,可信度和真实性对公共卫生的重要性。