ArticleJournal of medical Internet research2020
A Comparison of the Psycholinguistic Styles of Schizophrenia-Related Stigma and Depression-Related Stigma on Social Media: Content Analysis.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What methods are used to examine representation of mental ill-health on social media? A systematic review.BMC psychology · 2024Pooled it
- "It's Tough to Be a Black Man with Schizophrenia": Randomized Controlled Trial of a Brief Video Intervention to Reduce Public Stigma.Schizophrenia bulletin · 2024Trial
- Mapping the role of artificial intelligence in health-related stigma: a scoping review.NPJ digital medicine · 2026Article
- Healthcare Professionals' Interactions with Families of Hospitalized Patients Through Information Technologies: Toward the Integration of Artificial Intelligence.Nursing reports (Pavia, Italy) · 2025Article
- Predictors and barriers for biosecurity uptake and risk understanding among Ontario horse owners.The Canadian veterinary journal = La revue veterinaire canadienne · 2025Article
- Reperceiving depression: how trait mindfulness enhances perceived support through improved doctor-patient relationships and stigma alleviation in depressed young adults.Frontiers in psychology · 2025Article
- Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study.Npj mental health research · 2024Article
- AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges.Journal of medical Internet research · 2024Review
- A theory-informed deep learning approach to extracting and characterizing substance use-related stigma in social media.BMC digital health · 2024Article
- Social networks use in the context of Schizophrenia: a review of the literature.Frontiers in psychiatry · 2024Review
- Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis.Journal of medical Internet research · 2023Article
- A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression.Frontiers in psychology · 2023Article
- Using Twitter to Assess Stigma to Schizophrenia and Psychosis: A Qualitative Study.Turk psikiyatri dergisi = Turkish journal of psychiatry · 2023Article
- Understanding the Association Between Mental Health Knowledge and Mental Health Service Utilization Among Black Adults.Community mental health journal · 2023Article
- COVID vaccine stigma: detecting stigma across social media platforms with computational model based on deep learning.Applied intelligence (Dordrecht, Netherlands) · 2022Article
- Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions.JMIR mental health · 2022Article
- Social media and schizophrenia: An update on clinical applications.World journal of psychiatry · 2022Review
- What Are the Characteristics of User Texts and Behaviors in Chinese Depression Posts?International journal of environmental research and public health · 2022Article
- Stigmatizing Attitudes Across Cybersuicides and Offline Suicides: Content Analysis of Sina Weibo.Journal of medical Internet research · 2022Article
- Stigma toward Wuhan people during the COVID-19 epidemic: an exploratory study based on social media.BMC public health · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStigma related to schizophrenia is considered to be the primary focus of antistigma campaigns. Accurate and efficient detection of stigma toward schizophrenia in mass media is essential for the development of targeted antistigma interventions at the population level.
objectiveThe purpose of this study was to examine the psycholinguistic characteristics of schizophrenia-related stigma on social media (ie, Sina Weibo, a Chinese microblogging website), and then to explore whether schizophrenia-related stigma can be distinguished from stigma toward other mental illnesses (ie, depression-related stigma) in terms of psycholinguistic style.
methodsA total of 19,224 schizophrenia- and 15,879 depression-related Weibo posts were collected and analyzed. First, a human-based content analysis was performed on collected posts to determine whether they reflected stigma or not. Second, by using Linguistic Inquiry and Word Count software (Simplified Chinese version), a number of psycholinguistic features were automatically extracted from each post. Third, based on selected key features, four groups of classification models were established for different purposes: (a) differentiating schizophrenia-related stigma from nonstigma, (b) differentiating a certain subcategory of schizophrenia-related stigma from other subcategories, (c) differentiating schizophrenia-related stigma from depression-related stigma, and (d) differentiating a certain subcategory of schizophrenia-related stigma from the corresponding subcategory of depression-related stigma.
resultsIn total, 26.22% of schizophrenia-related posts were labeled as stigmatizing posts. The proportion of posts indicating depression-related stigma was significantly lower than that indicating schizophrenia-related stigma (χ
conclusionsThe findings of this study have implications for the detection and reduction of stigma toward schizophrenia on social media.
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