Fake news on Twitter during the 2016 U.S. presidential election

Abstract

Finding facts about fake news There was a proliferation of fake news during the 2016 election cycle. Grinberg et al. analyzed Twitter data by matching Twitter accounts to specific voters to determine who was exposed to fake news, who spread fake news, and how fake news interacted with factual news (see the Perspective by Ruths). Fake news accounted for nearly 6% of all news consumption, but it was heavily concentrated—only 1% of users were exposed to 80% of fake news, and 0.1% of users were responsible for sharing 80% of fake news. Interestingly, fake news was most concentrated among conservative voters. Science , this issue p. 374 ; see also p. 348

Keywords

Presidential electionFake newsPolitical sciencePresidential systemAdvertisingInternet privacyComputer scienceBusinessPoliticsLaw

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Publication Info

Year: 2019
Type: article
Volume: 363
Issue: 6425
Pages: 374-378
Citations: 1717
Access: Closed

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APA Style

                            
                                
                                    Nir Grinberg, 
                                
                                    Kenneth Joseph, 
                                
                                    Lisa Friedland
                                
                                et al.
                            
                            (2019). 
                            Fake news on Twitter during the 2016 U.S. presidential election. 
                            Science
                            , 363
                            (6425)
                            , 374-378.
                            https://doi.org/10.1126/science.aau2706
                        

Identifiers

DOI: 10.1126/science.aau2706
PMID: 30679368

Data Quality

Data completeness: 81%