This paper is in the following e-collection/theme issue:

Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Infodemiology and Infoveillance (1558) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Anxiety and Stress Disorders (1330) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2110)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45777, first published .
Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis

Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis

Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis

Authors of this article:

Jianghong Zhu1 Author Orcid Image ;   Zepeng Li1 Author Orcid Image ;   Xiu Zhang1 Author Orcid Image ;   Zhenwen Zhang1 Author Orcid Image ;   Bin Hu1 Author Orcid Image
Article Authors Cited by (17) Tweetations (3) Metrics

Journals

  1. Qiao W, Yan Z, Wang X. When the clock chimes: The impact of on-the-hour effects on user anxiety content generation in social media platforms. Journal of Affective Disorders 2024;344:69 View
  2. Gu D, Wang Q, Chai Y, Yang X, Zhao W, Li M, Zolotarev O, Xu Z, Zhang G. 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 2024;26:e48324 View
  3. Zhang C, Wen Q, Li D, Sangaiah A, Lin M. Intelligent evaluation system for new energy vehicles based on sentiment analysis: An MG-PL-3WD method. Engineering Applications of Artificial Intelligence 2024;133:108485 View
  4. Zhao Y, Zhang L. Getting better? Examining the effects of social support in OHCs on users’ emotional improvement. Information Processing & Management 2024;61(4):103754 View
  5. Tan M, Wu Z, Li J, Liang Y, Lv W. 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 2024;12 View
  6. Zhang Z, Zhu J, Guo Z, Zhang Y, Li Z, Hu B. Natural Language Processing for Depression Prediction on Sina Weibo: Method Study and Analysis. JMIR Mental Health 2024;11:e58259 View
  7. Li A. Predicting negative attitudes towards suicide in social media texts: prediction model development and validation study. Frontiers in Public Health 2024;12 View
  8. Balcıoğlu Y. Anxiety management strategies on TikTok: a discourse analysis of collective coping mechanisms. Journal of Mental Health 2024;33(5):619 View
  9. Zhu J, Zhang Z, Guo Z, Li Z. Sentiment Classification of Anxiety-Related Texts in Social Media via Fuzing Linguistic and Semantic Features. IEEE Transactions on Computational Social Systems 2024;11(5):6819 View
  10. Winkler P, Kunc B, Guerrero Z, Mohr P, Schomerus G, Mladá K. Changes in stigma and population mental health literacy before and after the Covid-19 pandemic: Analyses of repeated cross-sectional studies. SSM - Mental Health 2024;6:100369 View
  11. Hou K, Hou T, Wang T, Cai L. Exploring the depression sharing on social media platforms: an investigation based on text semantic mining and textual emotion detection. Current Psychology 2025;44(12):12132 View
  12. Duan Y, Chen Y, Sun Q, Chen J, Zhang J, Yun B, Cai T, Yuan C. Characterizing authoritative oncology-related key opinion leaders on Weibo: A social media profiling study. Asia-Pacific Journal of Oncology Nursing 2025;12:100742 View
  13. Ou Y, de Bruijn G, Schulz P. 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 2025;27:e68205 View
  14. Zhu J, Zhang Z, Li Z, Hu B. Integrating clinical anxiety scales with pre-trained language models for anxiety recognition on social media. Health Information Science and Systems 2025;13(1) View
  15. Wang Z. “Searching on the internet guarantees you a cancer diagnosis”: An analysis of Chinese anxiety forum discourse. Language & Communication 2025;105:106 View
  16. Li Y, Zhang J, Sheng Y, Yao J, Zhang X, Xu X. Rasch analysis and application research of the Chinese version of the Skidmore anxiety stigma scale: a cross-sectional study. Scientific Reports 2025;15(1) View

Conference Proceedings

  1. Lai S, Li Z. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Detection of potential anxiety in social media based on multimodal fusion with deep learning methods View