Evidence map›Paper›PMID 39830694›Full record

ArticleFrontiers in sociology2024

Internet use and social trust: empirical analysis based on CGSS2021.

Juan Miao, Junfeng Kuang, Linlin Yang, Ming Chen, Xueqing Tian

Abstract read
In one paragraph

Article in Frontiers in sociology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Juan MiaoSchool of Law and Political Science, Yunnan University of Finance and Economics, Kunming, China.
Junfeng KuangSchool of Law and Political Science, Yunnan University of Finance and Economics, Kunming, China.
Linlin YangSouthwest Frontier Minority Research Center, Yunnan University, Kunming, China.
Ming ChenSchool of Law and Political Science, Yunnan University of Finance and Economics, Kunming, China.
Xueqing TianCollege of Humanities and Social Science, Yunnan Agricultural University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of the Internet has significantly changed the way people live and interact with each other. Interaction is the foundation for building trust and may therefore also be influenced by the Internet. This study aims to examine the impact of Internet use on different dimensions of social trust, focusing on the roles of perceived fairness and social support, using the latest data from the CGSS from China. The results show that Internet use has a significant negative predictive effect on the level of social trust, and the perception of social fairness plays a fully mediating role in this relationship. That is, Internet use can indirectly reduce people's level of social trust by reducing their perception of social fairness. Furthermore, the results indicate that social support can moderate people's perceptions of social fairness and thus mitigate the negative effects of Internet use on social trust. These results suggest that we should raise the profile of the impact of internet use, actively improve people's perceptions of social fairness to increase their level of social trust, and finally, focus on the positive role of social support, which can reduce the negative impact of internet use.

Indexed as

Internet useperception of social fairnesssocial interactionsocial supportsocial trust

Identifiers

PMID39830694
PMCPMC11739327

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.