Evidence map›Paper›PMID 39108305›Full record

ArticlePNAS nexus2024

Behavioral nudges in social media ads show limited ability to encourage COVID-19 vaccination across countries.

Olgahan Çat, Jiseon Chang, Roman Hlatky, Huimin Li, Daniel L Nielson

Abstract read
In one paragraph

Article in PNAS nexus, 2024. 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. Review
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.

Olgahan ÇatDepartment of Government, University of Texas at Austin, Austin, TX 78712, USA.ORCID https://orcid.org/0009-0005-5948-3398
Jiseon ChangDepartment of Government, University of Texas at Austin, Austin, TX 78712, USA.ORCID https://orcid.org/0000-0002-5991-4275
Roman HlatkyDepartment of Political Science, University of North Texas, Denton, TX 76203, USA.ORCID https://orcid.org/0000-0001-8378-2877
Huimin LiDepartment of Government, University of Texas at Austin, Austin, TX 78712, USA.ORCID https://orcid.org/0009-0003-3431-4999
Daniel L NielsonDepartment of Government, University of Texas at Austin, Austin, TX 78712, USA.ORCID https://orcid.org/0000-0002-0279-0494

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behavioral nudges in Facebook ads reached nearly 15 million people across six diverse countries and, consequently, many thousands took the step of navigating to governments' vaccine signup sites. However, none of the treatment ads caused significantly more vaccine signup intent than placebo uniformly across all countries. Critically, reporting the descriptive norm that 87% of people worldwide had either been vaccinated or planned vaccination-social proof-did not meaningfully increase vaccine signup intent in any country and significantly backfired in Taiwan. This result contradicts prominent prior findings. A charge to "protect lives in your family" significantly outperformed placebo in Taiwan and Turkey but saw null effects elsewhere. A message noting that vaccination significantly reduces hospitalization risk decreased signup intent in Brazil and had no significant effects in any other country. Such heterogeneity was the hallmark of the study: some messages saw significant treatment effects in some countries but failed in others. No nudge outperformed the placebo in Russia, a location of high vaccine skepticism. In all, widely touted behavioral nudges often failed to promote vaccine signup intent and appear to be moderated by cultural context.

Indexed as

Covidfield experimentnudgesocial mediavaccination

Identifiers

PMID39108305
PMCPMC11302845

What OpenQuestion holds

Textmetadata
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.