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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Depression and Mood Disorders; Suicide Prevention (1363)

Published on in Vol 19, No 1 (2017): January

Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study

Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study

Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study

Authors of this article:

Robert J Smith1 Author Orcid Image ;   Patrick Crutchley1, 2 Author Orcid Image ;   H Andrew Schwartz1, 2, 3 Author Orcid Image ;   Lyle Ungar1, 4 Author Orcid Image ;   Frances Shofer5 Author Orcid Image ;   Kevin A Padrez1 Author Orcid Image ;   Raina M Merchant1, 5 Author Orcid Image
Article Authors Cited by (21) Tweetations (50) Metrics

Journals

  1. Elder E, Phillips J. Appeals to the Hispanic demographic: Targeting through Facebook autoplay videos by the Clinton campaign during the 2015/2016 presidential primaries. Journal of Political Marketing 2017 View
  2. Teo A, Strange W, Bui R, Dobscha S, Ono S. Responses to Concerning Posts on Social Media and Their Implications for Suicide Prevention Training for Military Veterans: Qualitative Study. Journal of Medical Internet Research 2020;22(10):e22076 View
  3. Daughton A, Chunara R, Paul M. Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study. JMIR Public Health and Surveillance 2020;6(2):e14986 View
  4. Sadeh‐Sharvit S, Fitzsimmons‐Craft E, Taylor C, Yom‐Tov E. Predicting eating disorders from Internet activity. International Journal of Eating Disorders 2020;53(9):1526 View
  5. Hobbs K, Monette P, Owoyemi P, Beard C, Rauch S, Ressler K, Vahia I. Incorporating Information From Electronic and Social Media Into Psychiatric and Psychotherapeutic Patient Care: Survey Among Clinicians. Journal of Medical Internet Research 2019;21(7):e13218 View
  6. Du J, Zhang Y, Luo J, Jia Y, Wei Q, Tao C, Xu H. Extracting psychiatric stressors for suicide from social media using deep learning. BMC Medical Informatics and Decision Making 2018;18(S2) View
  7. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  8. Elder E, Phillips J. Appeals to the Hispanic Demographic: Targeting through Facebook Autoplay Videos by the Clinton Campaign during the 2015/2016 Presidential Primaries. Journal of Political Marketing 2017;16(3-4):319 View
  9. Graves R, Tufts C, Meisel Z, Polsky D, Ungar L, Merchant R. Opioid Discussion in the Twittersphere. Substance Use & Misuse 2018;53(13):2132 View
  10. Kim J, Uddin Z, Lee Y, Nasri F, Gill H, Subramanieapillai M, Lee R, Udovica A, Phan L, Lui L, Iacobucci M, Mansur R, Rosenblat J, McIntyre R. A Systematic review of the validity of screening depression through Facebook, Twitter, Instagram, and Snapchat. Journal of Affective Disorders 2021;286:360 View
  11. Guntuku S, Gaulton J, Seltzer E, Asch D, Srinivas S, Ungar L, Mancheno C, Klinger E, Merchant R. Studying social media language changes associated with pregnancy status, trimester, and parity from medical records. Women's Health 2020;16 View
  12. Moreno M, Gaus Q, Wilt M, Arseniev-Koehler A, Ton A, Adrian M, VanderStoep A. Displayed Depression Symptoms on Facebook at Two Time Points: Content Analysis. JMIR Formative Research 2021;5(5):e20179 View
  13. D’Souza R, Hooten W, Murad M. A Proposed Approach for Conducting Studies That Use Data From Social Media Platforms. Mayo Clinic Proceedings 2021;96(8):2218 View
  14. Given F, Allan M, McCarthy S, Hemsley B. Digital health autonomy for people with communication or swallowing disability and the Sustainable Development Goal 10 of reducing inequalities and Goal 3 of good health and well-being. International Journal of Speech-Language Pathology 2023;25(1):72 View
  15. Ricard B, Hassanpour S. Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes. Journal of Medical Internet Research 2021;23(9):e27314 View
  16. D'Souza R, Daraz L, Hooten W, Guyatt G, Murad M. Users' Guides to the Medical Literature series on social media (part 2): how to appraise studies using data from platforms. BMJ Evidence-Based Medicine 2022;27(1):15 View
  17. Dhelim S, Chen L, Das S, Ning H, Nugent C, Leavey G, Pesch D, Bantry-White E, Burns D. Detecting Mental Distresses Using Social Behavior Analysis in the Context of COVID-19: A Survey. ACM Computing Surveys 2023;55(14s):1 View
  18. Asch J, Asch D, Klinger E, Marks J, Sadek N, Merchant R. Google search histories of patients presenting to an emergency department: an observational study. BMJ Open 2019;9(2):e024791 View

Books/Policy Documents

  1. Kim H, Skurla M, Rahman A, Vahia I. The American Psychiatric Association Publishing Textbook of Geriatric Psychiatry. View