People Still Care About Facts: Twiter Users Engage More
with Factual Discourse than MisinformationÐA Comparison
Between COVID and General Narratives on Twiter
MIRELA SILVA, University of Florida, USA
FABRÍCIO CESCHIN, Federal University of Paraná, Brazil
PRAKASH SHRESTHA, University of Florida, USA
CHRISTOPHER BRANT, University of Florida, USA
SHLOK GILDA, University of Florida, USA
JULIANA FERNANDES, University of Florida, USA
CATIA S. SILVA, University of Florida, USA
ANDRÉ GRÉGIO, Federal University of Paraná, Brazil
DANIELA OLIVEIRA, University of Florida, USA
LUIZ GIOVANINI, University of Florida, USA
Misinformation entails the dissemination of falsehoods that leads to the slow fracturing of society via decreased
trust in democratic processes, institutions, and science. The public has grown aware of the role of social media
as a superspreader of untrustworthy information, where even pandemics have not been immune. In this paper,
we focus on COVID-19 misinformation and examine a subset of 2.1M tweets to understand misinformation as
a function of engagement, tweet content (COVID-19- vs. non-COVID-19-related), and veracity (misleading or
factual). Using correlation analysis, we show the most relevant feature subsets among over 126 features that
most heavily correlate with misinformation or facts. We found that (i) factual tweets, regardless of whether
COVID-related, were more engaging than misinformation tweets; and (ii) features that most heavily correlated
with engagement varied depending on the veracity and content of the tweet.
CCS Concepts: · Security and privacy → Human and societal aspects of security and privacy; Social
network security and privacy.
This material is based upon work supported by the National Science Foundation under grants 2028734 and 1662976, Google
Security and Privacy Research Award and University of Florida SeedFund OR-DRPD-ROF2020. This material is based upon
work supported by (while serving at) the National Science Foundation.
Authors’ addresses: Mirela Silva, msilva1@uf.edu, Electrical & Computer Engineering, University of Florida, P.O. Box 116200,
Gainesville, FL, USA, 32611; Fabrício Ceschin, fjoceschin@inf.ufpr.br, Federal University of Paraná, Cel. Francisco Heráclito
dos Santos, 100, Curitiba, Paraná, Brazil, 81530-000; Prakash Shrestha, prakash.shrestha@uf.edu, Electrical & Computer
Engineering, University of Florida, P.O. Box 116200, Gainesville, FL, USA, 32611; Christopher Brant, g8rboy15@uf.edu,
Electrical & Computer Engineering, University of Florida, P.O. Box 116200, Gainesville, FL, USA, 32611; Shlok Gilda,
shlokgilda@uf.edu, Computer and Information Science & Engineering, University of Florida, P.O. Box 116200, Gainesville,
FL, USA, 32611; Juliana Fernandes, juliana@jou.uf.edu, College of Journalism and Communications, University of Florida,
P.O. Box 118400, Gainesville, FL, USA, 32611; Catia S. Silva, catiaspsilva@ece.uf.edu, Electrical & Computer Engineering,
University of Florida, P.O. Box 116200, Gainesville, FL, USA, 32611; André Grégio, gregio@inf.ufpr.br, Federal University of
Paraná, Cel. Francisco Heráclito dos Santos, 100, Curitiba, Paraná, Brazil, 81530-000; Daniela Oliveira, daniela@ece.uf.edu,
Electrical & Computer Engineering, University of Florida, P.O. Box 116200, Gainesville, FL, USA, 32611; Luiz Giovanini,
lfrancogiovanini@uf.edu, Electrical & Computer Engineering, University of Florida, P.O. Box 116200, Gainesville, FL, USA,
32611.
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arXiv:2012.02164v3 [cs.SI] 9 Sep 2021