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

JMIR Theme Issue: COVID-19 Special Issue (2458) Infodemiology and Infoveillance (1365) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1660) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1049) Outbreak and Pandemic Preparedness and Management (1740) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (385)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21418, first published .
Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

Authors of this article:

Danny Valdez1 Author Orcid Image ;   Marijn ten Thij2 Author Orcid Image ;   Krishna Bathina2 Author Orcid Image ;   Lauren A Rutter3 Author Orcid Image ;   Johan Bollen2 Author Orcid Image
Article Authors Cited by (172) Tweetations (13) Metrics

Journals

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  122. Pérez Rave J, Zapata Jaramillo C, Jaramillo Álvarez G. Mental health in organizations from a healthcare analytics framework: taxonomic model, trends, and impact of COVID-19. Journal of Management Analytics 2024;11(1):62 View
  123. Yu D, Wing Y, Li T, Chan N. The Impact of Social Media Use on Sleep and Mental Health in Youth: a Scoping Review. Current Psychiatry Reports 2024;26(3):104 View
  124. Atilla F, Zwaan R. Impact of spatial distance on public attention and sentiment during the spread of COVID-19. Informatics in Medicine Unlocked 2024;45:101463 View
  125. Harris M, Levene M, Mudinas A. Time Series Analysis of Sentiment: A Comparison of the US and UK Coronavirus Subreddits. International Journal of Information Technology & Decision Making 2024;23(01):57 View
  126. Ramamoorthy T, Kulothungan V, Mappillairaju B. Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India. Frontiers in Artificial Intelligence 2024;7 View
  127. Fontenot H, Quist K, Glauberman G, Michel A, Zimet G. Impact of the COVID-19 pandemic on social media utilization, influences related to parental vaccine decision making, and opinions on trustworthy social media vaccination campaigns: A qualitative analysis. Human Vaccines & Immunotherapeutics 2024;20(1) View
  128. Rani S, Ahmed K, Subramani S. From Posts to Knowledge: Annotating a Pandemic-Era Reddit Dataset to Navigate Mental Health Narratives. Applied Sciences 2024;14(4):1547 View
  129. Ren S, Zhang M, Zhu C, Liu T, Zhang D. Decreased adaptability and increased social media use of Chinese female students during COVID-19: a multivariate latent growth curve model. Current Psychology 2024;43(27):23331 View
  130. Rutter L, ten Thij M, Lorenzo-Luaces L, Valdez D, Bollen J, Henríquez P. Negative affect variability differs between anxiety and depression on social media. PLOS ONE 2024;19(2):e0272107 View
  131. Issaka B, Aidoo E, Wood S, Mohammed F. “Anxiety is not cute” analysis of twitter users’ discourses on romanticizing mental illness. BMC Psychiatry 2024;24(1) View
  132. Esquirol B, Prignano L, Díaz-Guilera A, Cozzo E. Analyzing user activity on Twitter during long-lasting crisis events: a case study of the Covid-19 crisis in Spain. Social Network Analysis and Mining 2024;14(1) View
  133. Pradeepa M, Kumaraperumal S, Kasat K, Phaneendra Maguluri L, Salma Shajahan U, Gaikwad S. Digital evolution: Investigating the dynamic interactions of learners with social media. Entertainment Computing 2024;50:100668 View
  134. Chepo M, Martin S, Déom N, Khalid A, Vindrola-Padros C. Twitter Analysis of Health Care Workers’ Sentiment and Discourse Regarding Post–COVID-19 Condition in Children and Young People: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e50139 View
  135. Inuduka T, Yokose A, Managi S. Influencing cryptocurrency: analyzing celebrity sentiments on X (formerly Twitter) and their impact on bitcoin prices. Digital Finance 2024;6(3):379 View
  136. Lau N, Zhao X, O'Daffer A, Weissman H, Barton K. Pediatric Cancer Communication on Twitter: Natural Language Processing and Qualitative Content Analysis. JMIR Cancer 2024;10:e52061 View
  137. Linder A, Lusseau D. Resilience of human-nature interaction network to pandemic conditions. Science of The Total Environment 2024;931:172813 View
  138. Pan C, Wu Y, Wang S, Wang J, Chapman M, Zhang L, Li S. Pandemic fatigue? Insights from geotagged tweets on the spatiotemporal evolution of mental health in Canadian cities during COVID-19. Cities 2024;151:105100 View
  139. Bendau A, Petzold M, Ströhle A, Plag J. Viral Transmission? A Longitudinal Study of Media Use and Its Relation to Mental Strain During the First 2 Years of the COVID-19 Pandemic. International Journal of Behavioral Medicine 2024 View
  140. Sweeney C, Ennis E, Mulvenna M, Bond R, O'Neill S. Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review. JMIR Mental Health 2024;11:e55747 View
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  142. Hamelin N, Rahimi R, Balaji S, Pismennaya I, Bui N, Ta H. Unveiling the power of video sentiment analysis for predicting advertising effectiveness: exploratory research on femvertising. Journal of Marketing Analytics 2024;12(4):1052 View
  143. Golos A, Guntuku S, Buttenheim A. “Do not inject our babies”: a social listening analysis of public opinion about authorizing pediatric COVID-19 vaccines. Health Affairs Scholar 2024;2(7) View
  144. Nair B. Tracking the Impact of COVID19 Pandemic on the Evolution of Mental Health Narratives on Social Media: An Exploratory Analysis Leveraging Big Data. Procedia Computer Science 2024;239:1095 View
  145. Li L, Sullivan A, Musah A, Stavrianaki K, Wood C, Baker P, Kostkova P. Resilience during lockdown: a longitudinal study investigating changes in behaviour and attitudes among older females during COVID-19 lockdown in the UK. BMC Public Health 2024;24(1) View
  146. Yan Y, Li J, Liu X, Li Q, Yu N. Identifying Reddit Users at a High Risk of Suicide and Their Linguistic Features During the COVID-19 Pandemic: Growth-Based Trajectory Model. Journal of Medical Internet Research 2024;26:e48907 View
  147. Elayan S, Sykora M. Digital intermediaries in pandemic times: social media and the role of bots in communicating emotions and stress about Coronavirus. Journal of Computational Social Science 2024;7(3):2481 View
  148. Rao V, Valdez D, Muralidharan R, Agley J, Eddens K, Dendukuri A, Panth V, Parker M. Digital Epidemiology of Prescription Drug References on X (Formerly Twitter): Neural Network Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2024;26:e57885 View
  149. Valdez D, Picket A, Young B, Golden S. On Mining Words: The Utility of Topic Models in Health Education Research and Practice. Health Promotion Practice 2021;22(3):309 View
  150. Kumler L, Howell A. College Student Political Participation in the Context of a Polarized Nation and an International Pandemic: Do Campus Civic Engagement Efforts Matter?. Journal of Political Science Education 2024:1 View
  151. Yum S. Online Social Interaction for COVID-19 in Asia. Disaster Medicine and Public Health Preparedness 2024;18 View
  152. Kelly C, Sharot T. Web-browsing patterns reflect and shape mood and mental health. Nature Human Behaviour 2024 View

Books/Policy Documents

  1. Singh A, Wu D. HCI International 2021 - Posters. View
  2. Shaikh S, Yayilgan S, Zoto E, Abomhara M. Intelligent Computing. View
  3. Dömök L, Fodor S. Perspectives in Business Informatics Research. View
  4. Salem O, Mehaoua A. Emerging Trends in Cybersecurity Applications. View
  5. Bollen J, ten Thij M, Lorenzo-Luaces L, Rutter L. Early Detection of Mental Health Disorders by Social Media Monitoring. View
  6. Sridevi M. Advances in Data Science and Analytics. View
  7. Juanals B, Minel J. Advances in Computational Collective Intelligence. View
  8. Martinis M, Scarpino I, Zucco C, Cannataro M. Computational Science – ICCS 2023. View
  9. Thakur N, Cho H, Cheng H, Lee H. HCI International 2023 – Late Breaking Papers. View
  10. Hoor-Ul-Ain S, Khan A, Siddiqui S, Dey I. Computational Methods in Psychiatry. View
  11. Maulana F, Adi P, Lestari D, Purnomo A, Wangean D. Proceedings of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics. View
  12. Al-Khafaji A, Karan O. Emerging Trends and Applications in Artificial Intelligence. View
  13. Manikandan N, Thirunirai Senthil S. Advancements in Smart Computing and Information Security. View
  14. Kopel R, Fox C. Resilient Health. View