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

Loneliness and Social Isolation (123) Infodemiology and Infoveillance (1454) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1787) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087)

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
Article Authors Cited by (13) Tweetations (9) Metrics

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 2024;72(8):2419 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
  9. Lekkas D, Jacobson N. Breaking the silence: leveraging social interaction data to identify high-risk suicide users online using network analysis and machine learning. Scientific Reports 2024;14(1) View
  10. Fennig U, Yom‐Tov E, Savitzky L, Nissan J, Altman K, Loebenstein R, Boxer M, Weinberg N, Gofrit S, Maggio N. Bridging the conversational gap in epilepsy: Using large language models to reveal insights into patient behavior and concerns from online discussions. Epilepsia 2025;66(3):686 View
  11. Chan G, Fung M, Warrington J, Nowak S. Understanding Health-Related Discussions on Reddit: Development of a Topic Assignment Method and Exploratory Analysis. JMIR Formative Research 2025;9:e55309 View

Books/Policy Documents

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

Conference Proceedings

  1. Balasubramaniam M, Saravanakumar , Sridhar , Giftlin J. 1ST INTERNATIONAL CONFERENCE ON EMMA-2021. COVID-19 based on NLP for topic discovery and sentiment classification using BiLSTM recurrent neural network approach View