Restricted access data for the paper Fake News on Twitter During the 2016 U.S. Presidential Election

[chengjun]

1%的推特用户在2016年美国大选接触到80%的假新闻

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

https://www.science.org/doi/full/10.1126/science.aau2706

Grinberg, Nir; Joseph, Kenneth; Friedland, Lisa; Swire-Thompson, Briony; Lazer, David (2019). Fake news on Twitter during the 2016 U.S. presidential election. Science, 363(6425), 374–378. doi:10.1126/science.aau2706

Abstract

The spread of fake news on social media became a public concern in the United States after the 2016 presidential election. We examined exposure to and sharing of fake news by registered voters on Twitter and found that

• engagement with fake news sources was extremely concentrated.
• Only 1% of individuals accounted for 80% of fake news source exposures, and 0.1% accounted for nearly 80% of fake news sources shared.
• Individuals most likely to engage with fake news sources were conservative leaning, older, and highly engaged with political news.
  A cluster of fake news sources shared overlapping audiences on the extreme right, but for people across the political spectrum, most political news exposure still came from mainstream media outlets.

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

Data & Code

N. Grinberg, K. Joseph, L. Friedland, B. Swire-Thompson, D. Lazer, Public Replication Package for Fake news on Twitter. Zenodo (2019); https://zenodo.org/record/2485429#.YWD_URBBxTY

N. Grinberg, K. Joseph, L. Friedland, B. Swire-Thompson, D. Lazer, Protected Replication data for Fake news on Twitter. Zenodo (2019); https://zenodo.org/record/2651401#.YWD-TBBBxTY

[chengjun]

https://github.com/LazerLab/twitter-fake-news-replication/