Evidence map›Paper›PMID 38737869›Full record

ArticleJournal of public policy2022

Hate, amplified? Social media news consumption and support for anti-Muslim policies.

Nazita Lajevardi, Kassra A R Oskooii, Hannah Walker

Abstract readNews
In one paragraph

Article in Journal of public policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Nazita LajevardiMichigan State University, East Lansing, USA.
Kassra A R OskooiiUniversity of Delaware, Newark, USA.
Hannah WalkerUniversity of Texas, Austin, USA.ORCID 0000-0002-1659-3731

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
NICHD NIH HHS P2C HD042849
6 · The paper itself

Abstract

Research finds that social media platforms' peer-to-peer structures shape the public discourse and increase citizens' likelihood of exposure to unregulated, false, and prejudicial content. Here, we test whether self-reported reliance on social media as a primary news source is linked to racialised policy support, taking the case of United States Muslims, a publicly visible but understudied group about whom significant false and prejudicial content is abundant on these platforms. Drawing on three original surveys and the Nationscape dataset, we find a strong and consistent association between reliance on social media and support for a range of anti-Muslim policies. Importantly, reliance on social media is linked to policy attitudes across the partisan divide and for individuals who reported holding positive or negative feelings towards Muslims. These findings highlight the need for further investigation into the political ramification of information presented on contemporary social media outlets, particularly information related to stigmatised groups.

Indexed as

Muslim Americanspolitical communicationpublic opinionracial and ethnic politicssocial media

Identifiers

PMID38737869
PMCPMC11086701

What OpenQuestion holds

Textmetadata
LicenceTDM
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.