Published on in Vol 7, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17188, first published .
Analyzing Trends of Loneliness Through Large-Scale Analysis of Social Media Postings: Observational Study

Analyzing Trends of Loneliness Through Large-Scale Analysis of Social Media Postings: Observational Study

Analyzing Trends of Loneliness Through Large-Scale Analysis of Social Media Postings: Observational Study

Authors of this article:

Keren Mazuz1 Author Orcid Image ;   Elad Yom-Tov2, 3 Author Orcid Image

Journals

  1. Charmaraman L, Hodes R, Richer A. Young Sexual Minority Adolescent Experiences of Self-expression and Isolation on Social Media: Cross-sectional Survey Study. JMIR Mental Health 2021;8(9):e26207 View
  2. Senese V, Nasti C, Mottola F, Sergi I, Massaro R, Gnisci A. The Relationship Between Loneliness and Psychological Adjustment: Validation of the Italian Version of the Interpersonal Acceptance–Rejection Loneliness Scale. Frontiers in Psychology 2021;12 View
  3. Garcia C, Amador Ayala J, Diaz Roldan K, Bavarian N. Exploring Reddit conversations about mental health difficulties among college students during the COVID-19 pandemic. Journal of American College Health 2022:1 View
  4. Schmälzle R, Wilcox S. Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine. Journal of Medical Internet Research 2022;24(1):e28858 View
  5. Zhang Y, Lyu H, Liu Y, Zhang X, Wang Y, Luo J. Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study. JMIR Infodemiology 2021;1(1):e26769 View
  6. Robbins M, Jonnalagadda P, Spahr C. Rebalancing social & personality psychology methods: The case for naturalistic observation. Social and Personality Psychology Compass 2024;18(1) View
  7. Ahmed E, Xue L, Sankalp A, Kong H, Matos A, Silenzio V, Singh V. Predicting Loneliness through Digital Footprints on Google and YouTube. Electronics 2023;12(23):4821 View
  8. Królak A, Wiktorski T, Żmudzińska A. Automatic analysis of X (Twitter) data for supporting depression diagnosis. Human Technology 2023;19(3):370 View

Books/Policy Documents

  1. Kaveladze B, Kaveladze G, Yom-Tov E, Schueller S. Pervasive Computing Technologies for Healthcare. View