Evidence map›Paper›PMID 41993215›Full record

ArticlePublic opinion quarterly2026

Conditioning Public Opinion Perceptions by "Survey Methods 101": Informing, Engaging, and Motivating Individuals for Critical Processing of Public Opinion Polls.

Ozan Kuru

Abstract read
In one paragraph

Article in Public opinion quarterly, 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

1 author.

Ozan KuruAssistant Professor, Department of Communications and New Media, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0002-0485-1705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Can we train individuals on survey methods to boost their critical processing of public opinion evidence? While polls are one of the most systematic and scientific methods for measuring and communicating public opinion, they face credibility challenges, such as decreasing public trust, the prevalence of straw and misinformation polls, and individuals' biased dismissal of polls that deliver unfavorable results. These issues manifest and fuel misperceptions, misinformation, and polarization in public opinion, pollsters, and the media. We designed and tested a novel strategy to mitigate these challenges collectively, indirectly, and nonconfrontationally via preemptive educative interventions that cultivate polling literacy. Integrating components from pedagogical and persuasion theories, three interventions are designed to (1) inform (passive literacy), (2) inform and engage (active literacy), and (3) inform, engage, and motivate (psychological inoculation) individuals. The effects of these interventions were evaluated and compared in an extensive, preregistered, longitudinal experiment. In Wave 1, trainees were exposed to one of the interventions or a control training. In Wave 2, participants viewed polls with either poor or robust methodology, tested across different poll results (majority supporting vs. opposing; ecological validity) and issues (COVID-19 vaccines and artificial intelligence; conceptual replication), and then evaluated polling evidence. Results showed that inoculation was particularly effective. Participants' education levels and science literacy levels conditioned various intervention effects. The theoretical implications of this novel pathway to conditioning public opinion and practical insights are discussed with a qualitative review and recommendations for existing public education efforts.

Identifiers

PMID41993215
PMCPMC13081209

What OpenQuestion holds

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LicenceCC BY
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.