Narrative Trends of COVID-19 Misinformation

The COVID-19 crisis has seen the rise of many harmful online narratives These narratives have seeped into the real world and pose tangible health risks For this reason, we have leveraged existing techniques and developed tools to further our understanding of online misinformation and its dynamics This provides policy makers with more tools to sift through otherwise impossibly large data sets To ensure this, we worked closely with the Arkansas Attorney General Copyright © by the paper's authors

[1]  Junjie Lin,et al.  Modeling Topic Evolution in Social Media Short Texts , 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

[2]  Måns Magnusson,et al.  Pulling Out the Stops: Rethinking Stopword Removal for Topic Models , 2017, EACL.

[3]  Ranganathan Chandrasekaran,et al.  Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study , 2020, Journal of Medical Internet Research.

[4]  Alaa Abd-Alrazaq,et al.  Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study , 2020, Journal of medical Internet research.

[5]  Nitin Agarwal,et al.  The Ebb and Flow of the COVID-19 Misinformation Themes , 2020, CIKM.

[6]  Jabra Zarka,et al.  Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter , 2020, Cureus.

[7]  Mehran Sahami,et al.  Text Mining: Classification, Clustering, and Applications , 2009 .

[8]  Michael I. Jordan,et al.  Hierarchical Dirichlet Processes , 2006 .

[9]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[10]  SangKeun Lee,et al.  Hashtag-based topic evolution in social media , 2017, World Wide Web.

[11]  Mohammad Al Hasan,et al.  Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives , 2020, ICWSM Workshops.

[12]  Qian Liu,et al.  Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach , 2020, Journal of medical Internet research.

[13]  David G. Rand,et al.  Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention , 2020, Psychological science.