Evidence map›Paper›PMID 35282194›Full record

ArticleFrontiers in psychology2022

Why Do We "Like" on WeChat Moments: The Effects of Personality Traits and Content Characteristics.

Chun Zheng, Xingyu Song, Jieyun Li, Yijiang Chen, Tingyue Dong, Sha Yang

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Chun ZhengDepartment of Psychology, School of Education and Psychology, Southwest Minzu University, Chengdu, China.
Xingyu SongDepartment of Psychology, School of Education and Psychology, Southwest Minzu University, Chengdu, China.
Jieyun LiDepartment of Psychology, School of Education and Psychology, Southwest Minzu University, Chengdu, China.
Yijiang ChenDepartment of Psychology, School of Education and Psychology, Southwest Minzu University, Chengdu, China.
Tingyue DongDepartment of Psychology, School of Education and Psychology, Southwest Minzu University, Chengdu, China.
Sha YangDepartment of Psychology, School of Education and Psychology, Southwest Minzu University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To probe the motivational roles of hedonic gratification and social gratification in giving "Like" feedback on social media, we developed a set of novel pictures to simulate WeChat Moments. We subsequently examined how the personality trait of extraversion and stimulus content characteristics (e.g., emotional valence, personal relevance) influenced "Liking" behavior. A 2 (extraversion: extrovert group vs. introvert group) × 3 (emotional valence: positive vs. neutral vs. negative) × 2 (personal relevance: personally relevant vs. personally irrelevant)-mixed experimental design was applied to data obtained from 56 WeChat Moments users. These participants included 28 individuals with the highest extraversion scale scores (the extrovert group), and 28 individuals with the lowest extraversion scale scores (the introvert group), according to the NEO Five-Factor Inventory. Briefly, participants observed pictures on an interface similar to that of WeChat Moments and were given the option to "Like" each picture. "Like" rates and response time were then compared across groups and conditions by applying a mixed-design analysis of variance. Pearson's correlation coefficients were calculated to explore relationships between the "Like" rates under each condition and the scores for each personality trait. Compared with the neutral pictures, the positive and negative pictures were "Liked" more and less frequently, respectively (

Indexed as

emotional valencegiving “Like” feedbackpersonality traitspersonal relevancesocial mediaWeChat Moments

Identifiers

PMID35282194
PMCPMC8910826

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.