ArticleJournal of medical Internet research2023
Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis.
Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Temporal Dynamics of Influenza-Associated Anxiety Symptom Linguistic Markers on Weibo (2023-2024): Observational Study.JMIR infodemiology · 2026Observational
- Health anxiety and collective sense-making in the Chinese social media sphere: a topic modeling assessment of Weibo chatters.BMC public health · 2026Article
- Characterizing authoritative oncology-related key opinion leaders on Weibo: A social media profiling study.Asia-Pacific journal of oncology nursing · 2025Article
- Rasch analysis and application research of the Chinese version of the Skidmore anxiety stigma scale: a cross-sectional study.Scientific reports · 2025Article
- Social Media as an Emotional Barometer: Bidirectional Encoder Representations From Transformers-Long Short-Term Memory Sentiment Analysis on the Evolution of Public Sentiments During Influenza A on Sina Weibo.Journal of medical Internet research · 2025Article
- Natural Language Processing for Depression Prediction on Sina Weibo: Method Study and Analysis.JMIR mental health · 2024Article
- Identifying the Risk Factors of Allergic Rhinitis Based on Zhihu Comment Data Using a Topic-Enhanced Word-Embedding Model: Mixed Method Study and Cluster Analysis.Journal of medical Internet research · 2024Article
- Predicting negative attitudes towards suicide in social media texts: prediction model development and validation study.Frontiers in public health · 2024Article
- Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo.Frontiers in public health · 2024Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAnxiety disorder has become a major clinical and public health problem, causing a significant economic burden worldwide. Public attitudes toward anxiety can impact the psychological state, help-seeking behavior, and social activities of people with anxiety disorder.
objectiveThe purpose of this study was to explore public attitudes toward anxiety disorders and the changing trends of these attitudes by analyzing the posts related to anxiety disorders on Sina Weibo, a Chinese social media platform that has about 582 million users, as well as the psycholinguistic and topical features in the text content of the posts.
methodsFrom April 2018 to March 2022, 325,807 Sina Weibo posts with the keyword "anxiety disorder" were collected and analyzed. First, we analyzed the changing trends in the number and total length of posts every month. Second, a Chinese Linguistic Psychological Text Analysis System (TextMind) was used to analyze the changing trends in the language features of the posts, in which 20 linguistic features were selected and presented. Third, a topic model (biterm topic model) was used for semantic content analysis to identify specific themes in Weibo users' attitudes toward anxiety.
resultsThe changing trends in the number and the total length of posts indicated that anxiety-related posts significantly increased from April 2018 to March 2022 (R
conclusionsThe findings of our study indicate that public discrimination and stigma against anxiety disorder remain high, particularly in the aspects of self-denial and negative emotions. People with anxiety disorders should receive more social support to reduce the impact of discrimination and stigma.
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