Evidence map›Paper›PMID 34603159›Full record

ArticleFrontiers in psychology2021

Subtle Signals of Status on Social Network Sites: Evidence From China.

Wangshuai Wang, Tiantian Shao, Yanxi Yi, Shijiao Fang, Jingyi Song, Zucheng Yu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2021. 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
  2. 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

6 authors.

Wangshuai WangSchool of Management, Shanghai University of International Business and Economics, Shanghai, China.
Tiantian ShaoSchool of Management, Shanghai University of International Business and Economics, Shanghai, China.
Yanxi YiSchool of Management, Shanghai University of International Business and Economics, Shanghai, China.
Shijiao FangSchool of Management, Shanghai University of International Business and Economics, Shanghai, China.
Jingyi SongSchool of Management, Shanghai University of International Business and Economics, Shanghai, China.
Zucheng YuSchool of International Relations and Public Affairs, Shanghai International Studies University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social network sites (SNS) have been indispensable channels for people to access information, present themselves, and conduct commercial activities. Existing literature on online consumer behavior mainly focus on Western consumers and on explicit conspicuous signals. However, reports have shown that SNS users in China have exceeded 370 million, ranking the first in the world. Meanwhile, more and more consumers display status in more implicit ways nowadays. To fill these gaps, the present research was conducted to investigate the subtle signals of status for Chinese consumers on SNS. We proposed that frequent SNS posting leads to higher status perception among Chinese consumers. The psychological process of this effect is perceived busyness. These hypotheses received convergent support in a set of three studies. Study 1 used secondary data to preliminarily verify the positive correlation between SNS posting frequency and perceived social status. Studies 2A and 2B adopted the causal chain method to test the underlying mechanism of the effect, and to provide causal evidence for the entire relationship chain. Specifically, Study 2A examined how SNS posting frequency affects perceived busyness. Furthermore, Study 2B explored whether the differences in perceived busyness will affect social status perceptions. Implications of these findings and potential extensions in future are discussed.

Indexed as

Chinese consumersperceived busynessSNSsocial statussubtle signals

Identifiers

PMID34603159
PMCPMC8484652

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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.