Evidence map›Paper›PMID 39109090›Full record

ArticlePublic opinion quarterly2024

The Electoral Misinformation Nexus: How News Consumption, Platform Use, and Trust in News Influence Belief in Electoral Misinformation.

Camila Mont'Alverne, Amy Ross Arguedas, Sayan Banerjee, Benjamin Toff, Richard Fletcher, Rasmus Kleis Nielsen

Abstract readNews
In one paragraph

Article in Public opinion quarterly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Camila Mont'AlverneLecturer in Journalism, Media, and Communication, University of Strathclyde, Glasgow, UK.ORCID https://orcid.org/0000-0002-6100-4879
Amy Ross ArguedasPostdoctoral Research Fellow, Reuters Institute for the Study of Journalism, University of Oxford, Oxford, UK.
Sayan BanerjeeAssistant Professor, Department of Political Science, Texas Tech University, Lubbock, TX, US.
Benjamin ToffAssistant Professor, Hubbard School of Journalism & Mass Communication, University of Minnesota, Minneapolis, MN, US.
Richard FletcherDirector of Research, Reuters Institute for the Study of Journalism, University of Oxford, Oxford, UK; and Lead Researcher and Coauthor of the "Reuters Institute Digital News Report," Oxford, UK.
Rasmus Kleis NielsenDirector, Reuters Institute for the Study of Journalism, University of Oxford, Oxford, UK; and Professor, Political Communication, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electoral misinformation, where citizens believe false or misleading claims about the electoral process and electoral institutions-sometimes actively and strategically spread by political actors-is a challenge to public confidence in elections specifically and democracy more broadly. In this article, we analyze a combination of 42 million clicks in links and apps from behavioral tracking data of 2,200 internet users and a four-wave panel survey to investigate how different kinds of online news and media use relate to beliefs in electoral misinformation during a contentious political period-the 2022 Brazilian presidential elections. We find that, controlling for other factors, using news from legacy news media is associated with belief in fewer claims of electoral misinformation over time. We find null or inconsistent effects for using digital-born news media and various digital platforms, including Facebook and WhatsApp. Furthermore, we find that trust in news plays a significant role as a moderator. Belief in electoral misinformation, in turn, undermines trust in news. Overall, our findings document the important role of the news media as an institution in curbing electoral misinformation, even as they also underline the precarity of trust in news during contentious political periods.

Identifiers

PMID39109090
PMCPMC11300038

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.