COVID-19 Misinformation and Polarization on Twitter

Abstract

This study investigated polarization on Twitter related to the COVID-19 pandemic by examining tweets containing #Plandemic (suggests the pandemic is a hoax) or #StayHome (encourages compliance with health recommendations). Over 35,000 tweets from over 25,000 users were collected in April 2020 and examined using sentiment and social network analyses. Compared to #StayHome tweets, #Plandemic tweets came from a more tightly connected network, were higher in negative emotional content, and could be sub-divided into specific categories of misinformation and conspiracy theories. To evaluate the stability of users' COVID-related perspectives, the prevalence of pro- and anti-mask sentiment was measured in same users' tweets approximately four months later. Results revealed substantial stability over time, with 40% of #Plandemic users tweeting anti-mask hashtags compared to just 2% of #StayHome users. Findings demonstrate COVID-related polarization on Twitter and have implications for public health interventions to quell the propagation of misinformation.

Emotions during the Pandemic’s First Wave: The Case of Greek Tweets

“…When they use unconventional hashtags, they go 'under the radar.' A different datacollection strategy should have been employed, were we looking for such tweets, as described for example in [19][20][21][22].…”

Emotions during the Pandemic’s First Wave: The Case of Greek Tweets

“…When they use unconventional hashtags, they go 'under the radar.' A different data-collection strategy should be employed, were we looking for such tweets, as described for example in [19][20][21][22].…”