框架(结构)
可靠性
政治
精英
大流行
2019年冠状病毒病(COVID-19)
造谣
公共话语
政治学
公共卫生
互联网隐私
社会化媒体
医学
法学
计算机科学
历史
疾病
传染病(医学专业)
考古
护理部
病理
作者
Ho-Chun Herbert Chang,Emilio Ferrara
标识
DOI:10.1007/s42001-022-00173-9
摘要
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.
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