Evidence map›Paper›PMID 42310054›Full record

ArticleScientific reports2026

Ideology and free speech values predict content moderation preferences: cross-national evidence across targets of hate speech.

Yannis Theocharis, Spyros Kosmidis, Jan Zilinsky, Friederike Quint

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yannis TheocharisDepartment of Governance, Munich School of Politics and Public Policy, Technical University of Munich, Munich, Germany. yannis.theocharis@tum.de.
Spyros KosmidisDepartment of Politics and International Relations, University of Oxford, Oxford, UK.
Jan ZilinskyDepartment of Governance, Munich School of Politics and Public Policy, Technical University of Munich, Munich, Germany.
Friederike QuintDepartment of Governance, Munich School of Politics and Public Policy, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With over 4 billion people using social media platforms daily, decisions about what content to allow or moderate have profound implications for global public discourse, democratic deliberation, and users' psychological well-being. This study examines cross-national variation in content moderation preferences by exposing participants in 10 countries to a standardized example of hate speech: a hateful post modeled on text that X (formerly Twitter) had cited in its content moderation guidelines. Across contexts, exposure to such content triggers widespread support for intervention, with minimal differences based on the experimentally varied identity of the target. However, significant variation emerges across countries. The United States stands out for its comparatively lower support for moderation of hate speech, while countries like France, Brazil, and South Africa exhibit much stronger demand. Within most countries, political ideology predicts support: individuals on the right are less likely to endorse removal or suspension than those on the left. Crucially, values around freedom of speech versus harm prevention consistently shape preferences across all contexts. Those who prioritize prevention from harm are markedly more likely to support hard forms of moderation (e.g., account suspension and content take-downs). These findings highlight that moderation preferences are shaped less by the specific target than by individuals' deeper commitments regarding free expression and harm prevention.

Indexed as

HatePoliticsSocial MediaSpeechBrazilHumansUnited StatesContent moderationFreedom of speechSocial media

Identifiers

PMID42310054
PMCPMC13279812

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.