Evidence map›Paper›PMID 39962124›Full record

ArticleScientific reports2025

Analysis of social media language reveals the psychological interaction of three successive upheavals.

Steven Mesquiti, Sarah Seraj, Andreas H Weyland, Ashwini Ashokkumar, Ryan L Boyd, Rada Mihalcea, James W Pennebaker

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Steven Mesquiti *Princeton University, Princeton, USA. sm9518@princeton.edu.ORCID 0000-0003-1687-1137
Sarah Seraj *University of Texas at Austin, Austin, USA.ORCID 0000-0002-7554-5887
Andreas H WeylandRice University, Houston, USA.ORCID 0009-0001-2283-7341
Ashwini AshokkumarNew York University, New York, USA.ORCID 0000-0002-8672-5963
Ryan L BoydUniversity of Texas at Dallas, Richardson, USA.ORCID 0000-0002-1876-6050
Rada MihalceaUniversity of Michigan, Ann Arbor, USA.ORCID 0000-0002-0767-6703
James W PennebakerUniversity of Texas at Austin, Austin, USA.ORCID 0000-0001-9091-214X

Funding

Social Media Signals for Post-traumatic Stress and Anxiety in Crisis-Inflicted CommunitiesR01GM112697 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI DE CHOUDHURY, MUNMUN · 2014 to 2018
$1.4M
Federal Bureau Investigation 15F06718R0006603John Templeton Foundation 61156National Institute of Justice NIJ-2021-60007National Science Foundation SES1758835NIGMS NIH HHS R01 GM112697
6 · The paper itself

Abstract

Using social media data, the present study documents how three successive upheavals: the COVID pandemic, the Black Lives Matter (BLM) protests of 2020, and the US Supreme Court decision to overturn Roe v. Wade interacted to impact the cognitive, emotional, and social styles of people in the US. Text analyses were conducted on 45,225,895 Reddit comments from 2,451,289 users and 889,402 news headlines from four news sources. Results revealed significant shifts in language related to self-focus (e.g., first-person singular pronouns), collective-focus (e.g., first-person plural pronouns), negative emotion (anxiety and anger words), and engagement (e.g., discussion of upheaval-related topics) after each event. Language analyses captured how social justice-related upheavals (BLM, Roe v. Wade) may have affected people in different ways emotionally than those that affected them personally (COVID). The onset of COVID was related to people becoming increasingly anxious and people turned inward to focus on their personal situations. However, BLM and the overturning of Roe v. Wade aroused anger and action, as people may have looked beyond themselves to address these issues. Analysis of upheaval-related discussions captured the public's sustained interest in BLM and COVID, whereas interest in Roe v. Wade declined relatively quickly. Shifts in discussions also showed how events interacted as people focused on only one national event at a time, with interest in other events dampening when a new event occurred. The findings underscore the dynamic nature of culturally shared events that are apparent in everyday online language use.

Indexed as

COVID-19LanguageSocial MediaEmotionsHumansPandemicsSARS-CoV-2United StatesLanguageLIWCRedditSocial MediaUpheavals

Identifiers

PMID39962124
PMCPMC11832893

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.