Evidence map›Paper›PMID 38271380›Full record

ArticlePloS one2024

The blurry lines between popular media and party propaganda: China's convergence culture through a linguistic lens.

Jun Lang, Zhuo Jing-Schmidt

Abstract read
In one paragraph

Article in PloS one, 2024. 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

2 authors.

Jun LangAsian Languages and Literatures Department, Pomona College, Claremont, CA, United States of America.
Zhuo Jing-SchmidtDepartment of East Asian Languages and Literatures, University of Oregon, Eugene, Oregon, United States of America.ORCID 0000-0002-9164-7824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing body of scholarly evidence that media convergence blurs the boundary between media production and media consumption and obscures the lines between institutions and individuals. Media convergence in the context of China has garnered attention in communication studies and in cultural studies. However, there is a scarcity of research on convergence culture from a linguistic perspective. Recent research has generated initial evidence that state media appropriates a pop-cultural social address for clickbait and information management in China's digital media space. However, the patterns and perceptual reality of linguistic convergence remain unexplored. This study investigates popular and party uses of xiaojiejie 'little older sister', a familiar expression of fictive kinship reborn as a viral personal reference and social address in China's convergence culture. Analysis of the Target Group Index in the Baidu search engine suggests xiaojiejie is gaining ground over its predecessor among young Chinese. Trends analysis of its usage in WeChat public accounts showed that the term has spread from popular media to state media, which employs the viral address to drive clickbait and disguise propaganda. An online survey of young Chinese WeChat users (N=330) on their perception of xiaojiejie headlines from WeChat public accounts showed that respondents could not tell state media uses from popular uses, providing perceptual evidence of the blurry boundaries between popular and state media uses of the viral address. The findings demonstrate the reality of linguistic convergence driven by participatory performance and its perceptual consequences in China's convergence culture.

Indexed as

InternetLens, CrystallineChinaCommunicationHumansPropaganda

Identifiers

PMID38271380
PMCPMC10810527

What OpenQuestion holds

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LicenceCC BY
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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.