ArticleJournal of medical Internet research2017
Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates.
Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 39 citations in OpenAlex.
- Sociodemographic disparities in awareness of chronic conditions: an observational study among older persons in rural north-east of South Africa.BMJ public health · 2024Article
- Social networks use in the context of Schizophrenia: a review of the literature.Frontiers in psychiatry · 2024Review
- Social media and schizophrenia: An update on clinical applications.World journal of psychiatry · 2022Review
- Using social media advertisement data to monitor the gender gap in STEM: opportunities and challenges.PeerJ. Computer science · 2022Article
- Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media.Journal of medical Internet research · 2020Article
- Infodemiology and Infoveillance: Scoping Review.Journal of medical Internet research · 2020Article
- Efficacy of Instagram in Promoting Psychoeducation in the Chinese-Speaking Population.Health equity · 2020Article
- Effective use of social media platforms for promotion of mental health awareness.Journal of education and health promotion · 2020Article
- A computational study of mental health awareness campaigns on social media.Translational behavioral medicine · 2019Article
- Attracting Users to Online Health Communities: Analysis of LungCancer.net's Facebook Advertisement Campaign Data.Journal of medical Internet research · 2019Article
- A Social Media Study on the Effects of Psychiatric Medication Use.Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media · 2019Article
- Areas of Interest and Stigmatic Attitudes of the General Public in Five Relevant Medical Conditions: Thematic and Quantitative Analysis Using Twitter.Journal of medical Internet research · 2019Article
- Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis.Journal of medical Internet research · 2019Article
- Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study.JMIR mental health · 2018Article
- Toward Impactful Collaborations on Computing and Mental Health.Journal of medical Internet research · 2018Article
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Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundSchizophrenia is a rare but devastating condition, affecting about 1% of the world's population and resulting in about 2% of the US health care expenditure. Major impediments to appropriate and timely care include misconceptions, high levels of stigma, and lack of public awareness. Facebook offers novel opportunities to understand public awareness and information access related to schizophrenia, and thus can complement survey-based approaches to assessing awareness that are limited in scale, robustness, and temporal and demographic granularity.
objectiveThe aims of this study were to (1) construct an index that measured the awareness of different demographic groups around schizophrenia-related information on Facebook; (2) study how this index differed across demographic groups and how it correlated with complementary Web-based (Google Trends) and non-Web-based variables about population well-being (mental health indicators and infrastructure), and (3) examine the relationship of Facebook derived schizophrenia index with other types of online activity as well as offline health and mental health outcomes and indicators.
methodsData from Facebook's advertising platform was programmatically collected to compute the proportion of users in a target demographic group with an interest related to schizophrenia. On consultation with a clinical expert, several topics were combined to obtain a single index measuring schizophrenia awareness. This index was then analyzed for differences across US states, gender, age, ethnic affinity, and education level. A statistical approach was developed to model a group's awareness index based on the group's characteristics.
resultsOverall, 1.03% of Facebook users in the United States have a schizophrenia-related interest. The schizophrenia awareness index (SAI) is higher for females than for males (1.06 vs 0.97, P<.001), and it is highest for the people who are aged 25-44 years (1.35 vs 1.03 for all ages, P<.001). The awareness index drops for higher education levels (0.68 for MA or PhD vs 1.92 for no high school degree, P<.001), and Hispanics have the highest level of interest (1.57 vs 1.03 for all ethnic affinities, P<.001). A regression model fit to predict a group's interest level achieves an adjusted R
conclusionsFacebook's advertising platform can be used to construct a plausible index of population-scale schizophrenia awareness. However, only estimates of awareness can be obtained, and the index provides no information on the quality of the information users receive online.
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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.