ArticleIndian journal of psychiatry
Portrayal of mental illness in Indian newspapers: A cross-sectional analysis of online media reports.
Article in Indian journal of psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- Does Online Newsmedia Portrayal of Substance Use and Persons with Substance Misuse Endorse Stigma? A Qualitative Study from India.International journal of mental health and addiction · 2022Article
- Stigma and discrimination: Time for interventions.Indian journal of psychiatryArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMedia portrayal of mental illness may influence public stigma and service utilization.
aimThis study aims to explore the overall tone and content of the news articles on mental illnesses in India. MATERIALS AND
methodsThis descriptive cross-sectional study was conducted on online English and Hindi news portals for articles which made reference to mental illness, published by local and national media sources between September 2019 and August 2020. The search was performed using location and news-only filters in the "Google" search engine; we used predefined search queries and selection criteria. A previously published checklist was used for the content analysis; it was done by two independent investigators.
resultsA total of 273 news reports met inclusion criteria (Hindi
conclusionThere is a need for a concerted attempt to improve the quality of media reporting of mental illness in India.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.