ArticlePNAS nexus2025
Endorsements vs. information: Experimental evidence of backlash and parallel persuasion during the COVID-19 public health crisis.
Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Governments try to promote prosocial behaviors like gun safety, environmental protection, opioid awareness, and during COVID-19 pandemic, behaviors like social distancing, masking, and vaccination. Democratic governments generally cannot force these behaviors on citizens; instead, they must persuade. Persuasive appeals mainly fall into three categories: endorsements (cues from leaders, experts, or celebrities), guidance and mandates (policies or practices issued by government), and information (the provision of facts and arguments about benefits). Using data from 10 experiments with 85,191 survey respondents conducted over a 2-year period during the COVID-19 pandemic, we assess the effectiveness of these three types of persuasive messages. We find that endorsements are variously polarizing depending on subjects' partisan orientation toward the endorser, counterproductive in general, or wholly ineffective. We find that guidance and information treatments-when they are effective at all-move people "in parallel," i.e. in the direction of information by similar amounts regardless of party affiliation.
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Registered trials
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.