Evidence map›Paper›PMID 42063889›Full record

ArticleFrontiers in psychology2026

What drives emotional escalation in crisis talk? Collectivenism, topics, and LLM-assisted measurement on Zhihu.

Yu Su, Tongtong Li

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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. Article
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.

Yu Su *School of Journalism and Communication, TsingHua University, Beijing, China.
Tongtong Li *School of Journalism, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study investigates the emotional responses expressed on Zhihu during the static management period of Shanghai's 2022 lockdown, focusing on the influence of cultural values, specifically individualism and collectivism, on the intensity of negative emotion. Methods: Using a combination of GPT-3.5 sentiment intensity labeling, a value orientation lexicon, and Results: The results reveal that overall, discussions were highly negative, with collectivist-oriented texts expressing stronger negative emotion than individualist-oriented texts, which were more neutral or positive. Additionally, we found that topics related to medical resources and COVID-19 policy implementation intensified negative emotion. The "daily life and work" topic emerged as a key moderator, further amplifying emotional differences between collectivism and individualism, with collectivism displaying more pronounced negative emotion and individualism showing more moderate emotional responses. Discussion: This research fills a gap in the existing literature by integrating individualism-collectivism into emotional intensity studies and highlights the potential for differentiated communication strategies by governments and platforms, particularly in addressing high-risk topics and engaging culturally diverse value groups.

Indexed as

collectivismcultural valuesemotional intensityindividualismsocial media discourse

Identifiers

PMID42063889
PMCPMC13124480

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.