Characterizing COVID-19 misinformation communities using a novel twitter dataset

Volume: 2699
Published: Aug 3, 2020
Abstract
From conspiracy theories to fake cures and fake treatments, COVID-19 has become a hotbed for the spread of misinformation online null It is more important than ever to identify methods to debunk and correct false information online null In this paper, we present a methodology and analyses to characterize the two competing COVID-19 misinformation communities online: (i) misinformed users or users who are actively posting misinformation, and (ii)...
Paper Details
Title
Characterizing COVID-19 misinformation communities using a novel twitter dataset
Published Date
Aug 3, 2020
Volume
2699
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