TY - JOUR
T1 - COVID-19 infodemic
T2 - More retweets for science-based information on coronavirus than for false information
AU - Pulido, Cristina M.
AU - Villarejo-Carballido, Beatriz
AU - Redondo-Sama, Gisela
AU - Gómez, Aitor
N1 - Funding Information:
This work was supported by the Catalan Agency for Management of University and Research Grants, Ref. 2017 SGR 01674, for open access publication of the article.
Publisher Copyright:
© The Author(s) 2020.
PY - 2020/7/4
Y1 - 2020/7/4
N2 - The World Health Organization has not only signaled the health risks of COVID-19, but also labeled the situation as infodemic, due to the amount of information, true and false, circulating around this topic. Research shows that, in social media, falsehood is shared far more than evidence-based information. However, there is less research analyzing the circulation of false and evidence-based information during health emergencies. Thus, the present study aims at shedding new light on the type of tweets that circulated on Twitter around the COVID-19 outbreak for two days, in order to analyze how false and true information was shared. To that end, 1000 tweets have been analyzed. Results show that false information is tweeted more but retweeted less than science-based evidence or fact-checking tweets, while science-based evidence and fact-checking tweets capture more engagement than mere facts. These findings bring relevant insights to inform public health policies.
AB - The World Health Organization has not only signaled the health risks of COVID-19, but also labeled the situation as infodemic, due to the amount of information, true and false, circulating around this topic. Research shows that, in social media, falsehood is shared far more than evidence-based information. However, there is less research analyzing the circulation of false and evidence-based information during health emergencies. Thus, the present study aims at shedding new light on the type of tweets that circulated on Twitter around the COVID-19 outbreak for two days, in order to analyze how false and true information was shared. To that end, 1000 tweets have been analyzed. Results show that false information is tweeted more but retweeted less than science-based evidence or fact-checking tweets, while science-based evidence and fact-checking tweets capture more engagement than mere facts. These findings bring relevant insights to inform public health policies.
KW - Communicative content analysis
KW - coronavirus
KW - COVID-19
KW - infodemic
KW - social media
KW - social media analytics
UR - http://www.scopus.com/inward/record.url?scp=85083448419&partnerID=8YFLogxK
U2 - 10.1177/0268580920914755
DO - 10.1177/0268580920914755
M3 - Article
AN - SCOPUS:85083448419
SN - 0268-5809
VL - 35
SP - 377
EP - 392
JO - International Sociology
JF - International Sociology
IS - 4
ER -
