Evidence map›Paper›PMID 39851878›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Crossing Gender Boundaries: Exploring the Chain-Mediated Causal Role of Social Media Sharing in Shaping Interpersonal Networks and Enhancing Job Satisfaction.

Xin Liu, Nan Qin, Xiaochong Wei

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Xin LiuSchool of Public Administration and Policy, Renmin University of China, Beijing 100872, China.ORCID 0000-0002-8179-0635
Nan QinSchool of Public Administration and Policy, Renmin University of China, Beijing 100872, China.ORCID 0009-0002-3368-9441
Xiaochong WeiSchool of Public Administration and Policy, Renmin University of China, Beijing 100872, China.ORCID 0000-0002-0357-7732

Funding

Renmin University of China No
6 · The paper itself

Abstract

The theoretical relationship between social media use and job satisfaction, especially concerning gender-specific mechanisms, remains a subject of ongoing debate in the literature. This divergence reflects our insufficient understanding of the complex relationships among gender, social media use, and job satisfaction. Drawing on Social Role Theory (SRT) and the Theory of Planned Behavior (TPB), this study utilizes 4651 valid samples from the 2020 China Family Panel Studies (CFPS) database to investigate how gender influences interpersonal relationships through social media sharing frequency, thereby enhancing job satisfaction. The findings indicate that women, compared to men, exhibit higher job satisfaction and more frequent social media sharing behavior. Moreover, the frequency of social media sharing positively affects job satisfaction by improving interpersonal relationships. This study employs a chain-mediated causal path analysis to delve into the causal relationships among gender, social media sharing frequency, and interpersonal relationships, effectively addressing previous limitations in handling multiple mediating effects. The findings not only provide new insights into the role of social media in the modern workplace but also offer empirical evidence and practical guidance for organizations on leveraging social media to foster employee relationships and enhance job satisfaction.

Indexed as

causal path analysisgenderinterpersonal relationshipsjob satisfactionsocial media sharing frequency

Identifiers

PMID39851878
PMCPMC11762161

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.