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The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing.
Castioni, Piergiorgio; Andrighetto, Giulia; Gallotti, Riccardo; Polizzi, Eugenia; De Domenico, Manlio.
  • Castioni P; Istituto di Scienze e Tecnologie della Cognizione, Via Palestro 32, Roma, Lazio 00185, Italy.
  • Andrighetto G; Departament d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, Tarragona 43007, Spain.
  • Gallotti R; Istituto di Scienze e Tecnologie della Cognizione, Via Palestro 32, Roma, Lazio 00185, Italy.
  • Polizzi E; CoMuNe Lab, Fondazione Bruno Kessler, Via Sommarive 18, Povo, Trento 38123, Italy.
  • De Domenico M; Istituto di Scienze e Tecnologie della Cognizione, Via Palestro 32, Roma, Lazio 00185, Italy.
R Soc Open Sci ; 9(10): 220716, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-2087953
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Randomized controlled trials Language: English Journal: R Soc Open Sci Year: 2022 Document Type: Article Affiliation country: Rsos.220716

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Randomized controlled trials Language: English Journal: R Soc Open Sci Year: 2022 Document Type: Article Affiliation country: Rsos.220716