Evidence map›Paper›PMID 36624094›Full record

ArticleNature communications2023

Exposure to the Russian Internet Research Agency foreign influence campaign on Twitter in the 2016 US election and its relationship to attitudes and voting behavior.

Gregory Eady, Tom Paskhalis, Jan Zilinsky, Richard Bonneau, Jonathan Nagler, Joshua A Tucker

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. State-sponsored agenda setting: Measuring the impact of narrative laundering.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
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  4. Targeted digital voter suppression efforts likely decrease voter turnout.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Gregory EadyDepartment of Political Science and the Center for Social Data Science (SODAS), University of Copenhagen, Copenhagen, Denmark. gregory.eady@gmail.com.ORCID 0000-0003-0184-0055
Tom PaskhalisDepartment of Political Science, Trinity College Dublin, Dublin, Ireland. tpaskhalis@gmail.com.ORCID 0000-0001-9298-8850
Jan ZilinskyDepartment of Governance, Technical University of Munich, Munich, Germany.ORCID 0000-0001-7208-8759
Richard BonneauDepartment of Biology and Computer Science and Center for Social Media and Politics, New York University, New York, NY, USA.ORCID 0000-0003-4354-7906
Jonathan NaglerDepartment of Politics and Center for Social Media and Politics, New York University, New York, NY, USA.ORCID 0000-0001-6918-9428
Joshua A TuckerDepartment of Politics and Center for Social Media and Politics, New York University, New York, NY, USA.ORCID 0000-0003-1321-8650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is widespread concern that foreign actors are using social media to interfere in elections worldwide. Yet data have been unavailable to investigate links between exposure to foreign influence campaigns and political behavior. Using longitudinal survey data from US respondents linked to their Twitter feeds, we quantify the relationship between exposure to the Russian foreign influence campaign and attitudes and voting behavior in the 2016 US election. We demonstrate, first, that exposure to Russian disinformation accounts was heavily concentrated: only 1% of users accounted for 70% of exposures. Second, exposure was concentrated among users who strongly identified as Republicans. Third, exposure to the Russian influence campaign was eclipsed by content from domestic news media and politicians. Finally, we find no evidence of a meaningful relationship between exposure to the Russian foreign influence campaign and changes in attitudes, polarization, or voting behavior. The results have implications for understanding the limits of election interference campaigns on social media.

Indexed as

Social MediaAttitudeHumansInternationalityPoliticsRussia

Identifiers

PMID36624094
PMCPMC9829855

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.