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

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1717
OpenAlex
101
Influential
1149
CrossRef

Cite This

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%