Evidence map›Paper›PMID 35338206›Full record

ArticleScientific reports2022

Analysis of the causes of inferiority feelings based on social media data with Word2Vec.

Yu Liu, Chen Xu, Xi Kuai, Hao Deng, Kaifeng Wang, Qinyao Luo

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Yu LiuInstitute of Environment and Development, Guangdong Academy of Social Sciences, Guangzhou, 510635, China.
Chen XuSchool of Optical Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200082, China.
Xi KuaiResearch Institute for Smart Cities & Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen University, Shenzhen, 518060, China.
Hao DengSchool of Geosciences and Info-Physics, Central South University, Changsha, 410083, China.
Kaifeng WangInstitute of Environment and Development, Guangdong Academy of Social Sciences, Guangzhou, 510635, China.
Qinyao LuoSchool of Geosciences and Info-Physics, Central South University, Changsha, 410083, China. qinyaoluo@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feelings of inferiority are complex emotions that usually indicate perceived weakness and helplessness. A lack of timely and effective interventions may bring serious consequences to individuals with inferiority feelings. Due to privacy concerns, those people often hesitate to seek face-to-face help, but they usually spontaneously share their feelings on social media, which makes social media a good resource for ample inferiority-related data. We randomly selected a sample of posts indicating inferiority feelings to explore the causes of inferiority. Through language analysis and natural language processing, we constructed a Word2Vec model of inferiority based on social media data and applied it to the cause analysis of inferiority feelings. The main causes of inferiority feelings are personal experience, social interaction, love relationship, etc. People feeling inferior about their personal experiences usually are largely influenced by their ways of thinking and life attitudes. Social and emotional factors overlap somewhat in the development of inferiority. In love relationships, males are more prone to inferiority feeling than females. These findings will help relevant institutions and organizations better understand people with inferiority feelings and facilitate the development of targeted treatment for those with potential self-esteem problems.

Indexed as

Social MediaEmotionsFemaleHumansMaleSelf Concept

Identifiers

PMID35338206
PMCPMC8956725

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