Journal
ROYAL SOCIETY OPEN SCIENCE
Volume 9, Issue 10, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsos.220716
Keywords
computational social science; social networks; data analysis; fake news; social psychology
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This article examines the dissemination of false information on online platforms and finds that a small number of accounts are responsible for the majority of false content. It also highlights that most users are exposed to the viewpoints of a few creators, potentially leading to misinterpretation and driving the spread of COVID-19 misinformation.
Online platforms play a relevant role in the creation and diffusion of false or misleading news. Concerningly, the COVID-19 pandemic is shaping a communication network which reflects the emergence of collective attention towards a topic that rapidly gained universal interest. Here, we characterize the dynamics of this network on Twitter, analysing how unreliable content distributes among its users. We find that a minority of accounts is responsible for the majority of the misinformation circulating online, and identify two categories of users: a few active ones, playing the role of 'creators', and a majority playing the role of 'consumers'. The relative proportion of these groups (approx. 14% creators-86% consumers) appears stable over time: consumers are mostly exposed to the opinions of a vocal minority of creators (which are the origin of 82% of fake content in our data), that could be mistakenly understood as representative of the majority of users. The corresponding pressure from a perceived majority is identified as a potential driver of the ongoing COVID-19 infodemic.
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