Evidence map›Paper›PMID 39980652›Full record

ArticlePNAS nexus2025

Citizen preferences for online hate speech regulation.

Simon Munzert, Richard Traunmüller, Pablo Barberá, Andrew Guess, JungHwan Yang

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Simon MunzertData Science Lab, Hertie School, 10017 Berlin, BE, Germany.ORCID https://orcid.org/0000-0003-4760-367X
Richard TraunmüllerSchool of Social Sciences, University of Mannheim, 68159 Mannheim, BW, Germany.ORCID https://orcid.org/0000-0001-9487-091X
Pablo BarberáDepartment of Political Science and International Relations, University of Southern California, Los Angeles, CA 90089, USA.
Andrew GuessDepartment of Politics and School of Public and International Affairs, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0003-2974-7848
JungHwan YangDepartment of Communication, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.ORCID https://orcid.org/0000-0001-5807-0982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The shift of public discourse to online platforms has intensified the debate over content moderation by platforms and the regulation of online speech. Designing rules that are met with wide acceptance requires learning about public preferences. We present a visual vignette study using a sample (

Indexed as

experimenthate speechmoderationpreferencesregulation

Identifiers

PMID39980652
PMCPMC11840861

What OpenQuestion holds

Textmetadata
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.