Research on the Impact of Social Media Information Dissemination Mechanism on the Formation and Dissolution of Female Stereotypes

Social media provides opportunities for women to challenge traditional norms through self-expression and empowerment content, but algorithmic mechanisms and user behavior often perpetuate gender stereotypes. This study uses TikTok as a case to explore the complex relationship between Exposure to Diversified Content (EDC) and Gender Stereotype Reinforcement (GSR) on short video platforms. Through a quantitative survey of active TikTok users, the study examines how interaction frequency with female-related content is associated with awareness of gender stereotypes. The findings reveal a contradictory dynamic: while diversified content has the potential to break stereotypes, algorithmic bias and selective exposure may inadvertently reinforce these stereotypes. This study suggests that technological safeguards should be strengthened to ensure the diversity and fairness of information dissemination on social media, avoiding the output and spread of content like stereotypes. Additionally, the research emphasizes the necessity of raising individual awareness to cope with diversified content in the information age. In summary, the study highlights the need to promote balanced content distribution, enhance user media literacy, and conduct cross-cultural research to better understand these mechanisms.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-08-13
DOI
https://doi.org/10.1051/shsconf/202522003030/pdf
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Impact of Social Media Information Dissemination Mechanism on the Formation and Dissolution of Female Stereotypes

Yijun Liang, Heqinge Wen
Springer Link (Chiba Institute of Technology)
Organizational and Employee Performance
article

Research on the Impact of Social Media Information Dissemination Mechanism on the Formation and Dissolution of Female Stereotypes

Yijun Liang, Heqinge Wen
article en

Abstract

Social media provides opportunities for women to challenge traditional norms through self-expression and empowerment content, but algorithmic mechanisms and user behavior often perpetuate gender stereotypes. This study uses TikTok as a case to explore the complex relationship between Exposure to Diversified Content (EDC) and Gender Stereotype Reinforcement (GSR) on short video platforms. Through a quantitative survey of active TikTok users, the study examines how interaction frequency with female-related content is associated with awareness of gender stereotypes. The findings reveal a contradictory dynamic: while diversified content has the potential to break stereotypes, algorithmic bias and selective exposure may inadvertently reinforce these stereotypes. This study suggests that technological safeguards should be strengthened to ensure the diversity and fairness of information dissemination on social media, avoiding the output and spread of content like stereotypes. Additionally, the research emphasizes the necessity of raising individual awareness to cope with diversified content in the information age. In summary, the study highlights the need to promote balanced content distribution, enhance user media literacy, and conduct cross-cultural research to better understand these mechanisms.

Springer Link (Chiba Institute of Technology)
Quality Education
Openalex Percentile: Top 15%
Organizational and Employee Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on the Impact of Social Media Information Dissemination Mechanism on the Formation and Dissolution of Female Stereotypes — Yijun Liang, Heqinge Wen · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS