Fake news on Twitter during the 2016 U.S. presidential election-Reference-Cited by-同舟云学术

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

Published:2019-01-25 Issue:6425 Volume:363 Page:374-378
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Grinberg Nir¹²^ORCID,Joseph Kenneth³^ORCID,Friedland Lisa¹^ORCID,Swire-Thompson Briony¹²^ORCID,Lazer David¹²^ORCID

Affiliation:

1. Network Science Institute, Northeastern University, Boston, MA, USA.

2. Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.

3. Department of Computer Science and Engineering, University at Buffalo, SUNY, Buffalo, NY, USA.

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

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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