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

Psychotic Disorders (156) Infodemiology and Infoveillance (1270) Depression and Mood Disorders; Suicide Prevention (1273) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010)

Published on in Vol 5, No 4 (2018): Oct-Dec

Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study

Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study

Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study

Authors of this article:

Yulin Hswen1, 2 Author Orcid Image ;   John A Naslund3 Author Orcid Image ;   John S Brownstein2, 4, 5 Author Orcid Image ;   Jared B Hawkins2, 4, 5 Author Orcid Image
Article Authors Cited by (31) Tweetations (6) Metrics

Journals

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  9. Hswen Y, Hawkins J, Sewalk K, Tuli G, Williams D, Viswanath K, Subramanian S, Brownstein J. Racial and Ethnic Disparities in Patient Experiences in the United States: 4-Year Content Analysis of Twitter. Journal of Medical Internet Research 2020;22(8):e17048 View
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  13. Reuter K, Lee D. Perspectives Toward Seeking Treatment Among Patients With Psoriasis: Protocol for a Twitter Content Analysis. JMIR Research Protocols 2021;10(2):e13731 View
  14. Prieto Santamaría L, Tuñas J, Fernández Peces-Barba D, Jaramillo A, Cotarelo M, Menasalvas E, Conejo Fernández A, Arce A, Gil de Miguel A, Rodríguez González A. Influenza and Measles-MMR: two case study of the trend and impact of vaccine-related Twitter posts in Spanish during 2015-2018. Human Vaccines & Immunotherapeutics 2022;18(1):1 View
  15. Reuter K, Deodhar A, Makri S, Zimmer M, Berenbaum F, Nikiphorou E. The impact of the COVID-19 pandemic on people with rheumatic and musculoskeletal diseases: insights from patient-generated data on social media. Rheumatology 2021;60(SI):SI77 View
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  17. Thorpe Huerta D, Hawkins J, Brownstein J, Hswen Y. Exploring discussions of health and risk and public sentiment in Massachusetts during COVID-19 pandemic mandate implementation: A Twitter analysis. SSM - Population Health 2021;15:100851 View
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  22. Takats C, Kwan A, Wormer R, Goldman D, Jones H, Romero D. Ethical and Methodological Considerations of Twitter Data for Public Health Research: Systematic Review. Journal of Medical Internet Research 2022;24(11):e40380 View
  23. Reuter K, Angyan P, Le N, Buchanan T. Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study. JMIR Formative Research 2021;5(11):e29958 View
  24. de Anta L, Alvarez-Mon M, Ortega M, Salazar C, Donat-Vargas C, Santoma-Vilaclara J, Martin-Martinez M, Lahera G, Gutierrez-Rojas L, Rodriguez-Jimenez R, Quintero J, Alvarez-Mon M. Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study. Journal of Personalized Medicine 2022;12(2):155 View
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  27. Chart-Pascual J, Montero-Torres M, Ortega M, Mar-Barrutia L, Zorrilla Martinez I, Alvarez-Mon M, Gonzalez-Pinto A, Alvarez-Mon M. Areas of interest and sentiment analysis towards second generation antipsychotics, lithium and mood stabilizing anticonvulsants: Unsupervised analysis using Twitter. Journal of Affective Disorders 2024;351:649 View
  28. Cimiano P, Collins B, De Vuono M, Escudier T, Gottowik J, Hartung M, Leddin M, Neupane B, Rodriguez-Esteban R, Schmidt A, Starke-Knäusel C, Voorhaar M, Wieckowski K. Patient listening on social media for patient-focused drug development: a synthesis of considerations from patients, industry and regulators. Frontiers in Medicine 2024;11 View
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