Evidence map›Paper›PMID 36059732›Full record

ArticleFrontiers in psychology2022

The effect of self-disclosure on mass trust through TikTok: An empirical study of short video streaming application users.

Athapol Ruangkanjanases, Ornlatcha Sivarak, Din Jong, Yajun Zhou

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. 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. Observational
  2. Article
  3. 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

4 authors.

Athapol RuangkanjanasesChulalongkorn Business School, Chulalongkorn University, Bangkok, Thailand.
Ornlatcha SivarakMahidol University International College, Mahidol University, Nakhon Pathom, Thailand.
Din JongDigital Design and Information Management, Chung Hwa University of Medical Technology, Tainan, Taiwan.
Yajun ZhouCollege of Finance and Economics, Nanchang Institute of Technology, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the short video application scenario, self-disclosure helps to establish and maintain relationships with others, and is important for the formation of mass trust. To this end, this study investigates the impact of self-disclosure on mass trust in the context of short video applications based on social exchange theory, and introduces perceived similarity to explain the specific impact mechanism while focusing on the boundary conditions of trust disposition in it. This study takes TikTok as the research object and analyzes the data obtained from the questionnaire survey. The empirical test results show that self-disclosure not only affects mass trust directly, but also indirectly through perceived similarity. In addition, a moderating effect of trust disposition on perceived similarity was found to affect mass trust. The findings of this paper contribute to an in-depth understanding of the potential intermediate mechanisms and boundary conditions of self-disclosure on mass trust, reveal the theoretical relationship between self-disclosure and mass trust, bridge the gap between previous mechanisms of mass trust influence from the perspective of empirical research, and effectively guide the management practice of short video applications.

Indexed as

mass trustperceived similarityself-disclosureshort video applicationsocial mediatrust disposition

Identifiers

PMID36059732
PMCPMC9435465

What OpenQuestion holds

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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.