Evidence map›Paper›PMID 42133646›Full record

ArticlePloS one2026

Negotiating climate change: Science, policy, and the invisible power embedded in public discourse in Chinese social media.

Kaijiao Zhang, Bingkang Qu, Qizhi Huang

Abstract read
In one paragraph

Article in PloS one, 2026. 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

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

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

3 authors.

Kaijiao ZhangSchool of Literature and Media, Nanfang College Guangzhou, Guangzhou, Guangdong, China.ORCID https://orcid.org/0009-0001-1821-8820
Bingkang QuAl Lab, Ipsos (China) Consulting Co., Ltd., Guangzhou, Guangdong, China.
Qizhi HuangFaculty of Arts and Sciences, Beijing Normal University - Zhuhai Campus, Zhuhai, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of social media has enabled diverse actors to engage in climate discourse, shifting climate change from a purely scientific issue to a broader global risk topic. Drawing on a decade of data from the Chinese platform Zhihu, this study employs social network analysis and correspondence analysis to examine the structural characteristics and phased evolution of social representations of climate change. The findings indicate that public discussions consistently anchor climate change in scientific evidence, forming a relatively stable core system. However, its peripheral structure has undergone continuous adjustment and expansion through the interaction between policy contexts and public communication, shifting from an emphasis on scientific consensus toward risk governance and economic pathways. This structural configuration reflects the dialogical and polyphasic nature of knowledge, while the economic perspective has emerged as a dominant representation of climate change in the Chinese context. This demonstrates the ongoing restructuring of social representations of climate change under the influence of policy and ideology, which may have significant implications for the public's perception of risk.

Indexed as

Climate ChangeNegotiatingSocial MediaChinaCommunicationHumans

Identifiers

PMID42133646
PMCPMC13175376

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.