Observational studyJournal of medical Internet research2018
Increasing Interest of Mass Communication Media and the General Public in the Distribution of Tweets About Mental Disorders: Observational Study.
Observational study in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Stigma and Misinformation About Autism Spectrum Disorder (ASD) on Tiktok and Instagram: Content Analysis Using #ASD, #Autism and #ASDinfo.Journal of autism and developmental disorders · 2025Article
- Exploring Pain on Social Media: Observational Study on Perceptions and Discussions of Chronic Pain Conditions.JMIR infodemiology · 2025Observational
- Understanding the online landscape of cannabis discourse: a Twitter analysis.Frontiers in public health · 2025Article
- Assessment of beliefs and attitudes towards benzodiazepines using machine learning based on social media posts: an observational study.BMC psychiatry · 2024Observational
- Understanding public perceptions and discussions on diseases involving chronic pain through social media: cross-sectional infodemiology study.BMC musculoskeletal disorders · 2024Article
- Twitter Discussions on #digitaldementia: Content and Sentiment Analysis.Journal of medical Internet research · 2024Article
- Analysis of the hikikomori phenomenon - an international infodemiology study of Twitter data in Portuguese.BMC public health · 2024Article
- Privacy Concerns About Sharing General and Specific Health Information on Twitter: Quantitative Study.JMIR formative research · 2024Article
- Hype or hope? Ketamine for the treatment of depression: results from the application of deep learning to Twitter posts from 2010 to 2023.Frontiers in psychiatry · 2024Article
- Insights from the Twittersphere: a cross-sectional study of public perceptions, usage patterns, and geographical differences of tweets discussing cocaine.Frontiers in psychiatry · 2024Article
- Regional insights on tobacco-related tweets: unveiling user opinions and usage patterns.Frontiers in public health · 2024Article
- Understanding Public Perceptions and Discussions on Opioids Through Twitter: Cross-Sectional Infodemiology Study.Journal of medical Internet research · 2023Article
- Content and User Engagement of Health-Related Behavior Tweets Posted by Mass Media Outlets From Spain and the United States Early in the COVID-19 Pandemic: Observational Infodemiology Study.JMIR infodemiology · 2023Article
- Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study.Journal of personalized medicine · 2022Article
- Mediterranean Diet Social Network Impact along 11 Years in the Major US Media Outlets: Thematic and Quantitative Analysis Using Twitter.International journal of environmental research and public health · 2022Article
- Examining Tweet Content and Engagement of Users With Tweets About Hikikomori in Japanese: Mixed Methods Study of Social Withdrawal.Journal of medical Internet research · 2022Article
- Analyzing Psychotherapy on Twitter: An 11-Year Analysis of Tweets From Major U.S. Media Outlets.Frontiers in psychiatry · 2022Article
- Areas of Interest and Attitudes Toward Antiobesity Drugs: Thematic and Quantitative Analysis Using Twitter.Journal of medical Internet research · 2021Observational
- Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter.International journal of environmental research and public health · 2021Article
- Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter.Journal of clinical medicine · 2021Article
Corrections and comments
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Authors and funding
8 authors.
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Abstract
backgroundThe contents of traditional communication media and new internet social media reflect the interests of society. However, certain barriers and a lack of attention towards mental disorders have been previously observed.
objectiveThe objective of this study is to measure the relevance of influential American mainstream media outlets for the distribution of psychiatric information and the interest generated in these topics among their Twitter followers.
methodsWe investigated tweets generated about mental health conditions and diseases among 15 mainstream general communication media outlets in the United States of America between January 2007 and December 2016. Our study strategy focused on identifying several psychiatric terms of primary interest. The number of retweets generated from the selected tweets was also investigated. As a control, we examined tweets generated about the main causes of death in the United States of America, the main chronic neurological degenerative diseases, and HIV.
resultsIn total, 13,119 tweets about mental health disorders sent by the American mainstream media outlets were analyzed. The results showed a heterogeneous distribution but preferential accumulation for a select number of conditions. Suicide and gender dysphoria accounted for half of the number of tweets sent. Variability in the number of tweets related to each control disease was also found (5998). The number of tweets sent regarding each different psychiatric or organic disease analyzed was significantly correlated with the number of retweets generated by followers (1,030,974 and 424,813 responses to mental health disorders and organic diseases, respectively). However, the probability of a tweet being retweeted differed significantly among the conditions and diseases analyzed. Furthermore, the retweeted to tweet ratio was significantly higher for psychiatric diseases than for the control diseases (odds ratio 1.11, CI 1.07-1.14; P<.001).
conclusionsAmerican mainstream media outlets and the general public demonstrate a preferential interest for psychiatric diseases on Twitter. The heterogeneous weights given by the media outlets analyzed to the different mental health disorders and conditions are reflected in the responses of Twitter followers.
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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.