Evidence map›Paper›PMID 40531868›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Social influence during public crises: Weekly dynamics and adaptive patterns of conformity to the collective following the COVID-19 outbreak.

Xiaoyu Ge, Yubo Hou

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. 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

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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

2 authors.

Xiaoyu GeSchool of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China.ORCID 0000-0002-3848-160X
Yubo HouSchool of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China.ORCID 0000-0001-5848-6849

Funding

The Chinese National Natural Science Foundation 32271125
6 · The paper itself

Abstract

Regional collectivism has been observed to contribute to better coping with public crises such as the COVID-19 pandemic. This study poses a reverse question: Does the eruption of public crises increase people's conformity to the collective? To answer this question, we analyzed real-world transactions on Taobao (the largest e-commerce platform in China), each with a purchase decision and a list of candidates considered before purchasing. Conformity to the collective was measured using two indicators: whether the decision-maker opted for the A) most-sold and B) best-rated options within the candidate option set. The results reveal that both conformity variables were significantly higher in the 10 wk subsequent to January 19, 2020 (when the nationwide COVID-19 crisis erupted in China), than in the 8 wk prior. These shifts were common across subpopulations, regions, and product categories and remained significant after strictly matching across weeks and after using a within-person, longitudinal sample. These shifts were more confidently attributed to the pandemic by further conducting difference-in-differences analyses to compare pandemic-affected regions with their unaffected, comparable counterparts using data from six subsequent regional waves in China. Furthermore, regions with larger increases in conformity during the early stage of the pandemic achieved better antipandemic outcomes. These findings provide real-world evidence for previous theories on behavioral immune systems, terror management, and compensatory control. Additionally, cross-regional comparisons of effect sizes offer exploratory insights into cultural psychology. In summary, these findings capture how human societies dynamically adjust their values to better adapt to unanticipated survival challenges.

Indexed as

COVID-19Social ConformityChinaHumansPandemicsSARS-CoV-2behavioral immune systemconformityCOVID-19difference-in-differences analysesterror management

Identifiers

PMID40531868
PMCPMC12207513

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.