Evidence map›Paper›PMID 39910059›Full record

ArticleNature communications2025

Emotion regulation contagion drives reduction in negative intergroup emotions.

Michael Pinus, Yajun Cao, Eran Halperin, Alin Coman, James J Gross, Amit Goldenberg

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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  8. 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

6 authors.

Michael Pinus *Harvard Business School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9449-1466
Yajun Cao *Harvard Business School, Boston, MA, USA.
Eran HalperinDepartment of Psychology, Hebrew University of Jerusalem, Jerusalem, Israel.ORCID http://orcid.org/0000-0002-3379-2935
Alin ComanDepartment of Psychology, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-1888-302X
James J GrossDepartment of Psychology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-3624-3090
Amit GoldenbergHarvard Business School, Boston, MA, USA. agoldenberg@hbs.edu.ORCID http://orcid.org/0000-0002-9417-5682

Funding

National Science Foundation (NSF) 1823410
6 · The paper itself

Abstract

When emotions occur in groups, they sometimes impact group behavior in undesired ways. Reducing group's emotions with emotion regulation interventions can be helpful, but may also be a challenge, because treating every person in the group is often infeasible. One solution is to treat a fraction of a group, and then hope the effect of the treatment will spread to other group members. To test the viability of this option, we designed an experiment to examine the impact of emotion regulation applied to different proportions of groups of six Israeli participants (N = 2659) who shared real-time responses to negative emotions-inducing political stimuli. Before interacting with each other, we treated different proportions of each group with an emotion regulation intervention called cognitive reappraisal, which involved teaching participants to reinterpret events to reduce negative emotions. The results showed that as the proportion of participants who received the treatment increased, there was a reduction in emotions within the non-treated participants. Furthermore, targeting above 40% of participants resulted in reliable group emotional change. Using semantic projection analysis, we validated the contagion of reappraisal language. These findings shed light on the conditions that enable collective emotion regulation.

Indexed as

Emotional RegulationEmotionsGroup ProcessesAdultFemaleHumansIsraelMaleYoung Adult

Identifiers

PMID39910059
PMCPMC11799416

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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.