Misinformation, manipulation, and abuse on social media in the era of COVID-19

被引:0
作者
Emilio Ferrara
Stefano Cresci
Luca Luceri
机构
[1] University of Southern California,Institute of Informatics and Telematics
[2] National Research Council (IIT-CNR),undefined
[3] University of Applied Sciences and Arts of Southern Switzerland (SUPSI),undefined
来源
Journal of Computational Social Science | 2020年 / 3卷
关键词
Misinformation; Abuse; Social bots; Infodemics; Social media; COVID-19;
D O I
暂无
中图分类号
学科分类号
摘要
The COVID-19 pandemic represented an unprecedented setting for the spread of online misinformation, manipulation, and abuse, with the potential to cause dramatic real-world consequences. The aim of this special issue was to collect contributions investigating issues such as the emergence of infodemics, misinformation, conspiracy theories, automation, and online harassment on the onset of the coronavirus outbreak. Articles in this collection adopt a diverse range of methods and techniques, and focus on the study of the narratives that fueled conspiracy theories, on the diffusion patterns of COVID-19 misinformation, on the global news sentiment, on hate speech and social bot interference, and on multimodal Chinese propaganda. The diversity of the methodological and scientific approaches undertaken in the aforementioned articles demonstrates the interdisciplinarity of these issues. In turn, these crucial endeavors might anticipate a growing trend of studies where diverse theories, models, and techniques will be combined to tackle the different aspects of online misinformation, manipulation, and abuse.
引用
收藏
页码:271 / 277
页数:6
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