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

Journals

  1. Chum A, Nielsen A, Bellows Z, Farrell E, Durette P, Banda J, Cupchik G. Changes in Public Response Associated With Various COVID-19 Restrictions in Ontario, Canada: Observational Infoveillance Study Using Social Media Time Series Data. Journal of Medical Internet Research 2021;23(8):e28716 View
  2. Wallinheimo A, Evans S. More Frequent Internet Use during the COVID-19 Pandemic Associates with Enhanced Quality of Life and Lower Depression Scores in Middle-Aged and Older Adults. Healthcare 2021;9(4):393 View
  3. Ding K, Yang J, Chin M, Sullivan L, Demirhan G, Violant-Holz V, Uvinha R, Dai J, Xu X, Popeska B, Mladenova Z, Khan W, Kuan G, Balasekaran G, Smith G. Mental Health among Adults during the COVID-19 Pandemic Lockdown: A Cross-Sectional Multi-Country Comparison. International Journal of Environmental Research and Public Health 2021;18(5):2686 View
  4. Sleigh J, Amann J, Schneider M, Vayena E. Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic. BMC Public Health 2021;21(1) View
  5. Adikari A, Nawaratne R, De Silva D, Ranasinghe S, Alahakoon O, Alahakoon D. Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence. Journal of Medical Internet Research 2021;23(4):e27341 View
  6. Mohamed Ridhwan K, Hargreaves C. Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore. International Journal of Information Management Data Insights 2021;1(2):100021 View
  7. Kharlamov A, Raskhodchikov A, Pilgun M. Smart City Data Sensing during COVID-19: Public Reaction to Accelerating Digital Transformation. Sensors 2021;21(12):3965 View
  8. Viviani M, Crocamo C, Mazzola M, Bartoli F, Carrà G, Pasi G. Assessing vulnerability to psychological distress during the COVID-19 pandemic through the analysis of microblogging content. Future Generation Computer Systems 2021;125:446 View
  9. Chilman N, Morant N, Lloyd-Evans B, Wackett J, Johnson S. Twitter Users’ Views on Mental Health Crisis Resolution Team Care Compared With Stakeholder Interviews and Focus Groups: Qualitative Analysis. JMIR Mental Health 2021;8(6):e25742 View
  10. Ryan J, Sellak H, Brindal E. The Psychosocial Impacts of COVID-19 on a Sample of Australian Adults: Cross-sectional Survey and Sentiment Analysis. JMIR Public Health and Surveillance 2021;7(7):e29213 View
  11. Arpaci I, Alshehabi S, Mahariq I, Topcu A. An Evolutionary Clustering Analysis of Social Media Content and Global Infection Rates During the COVID-19 Pandemic. Journal of Information & Knowledge Management 2021;20(03):2150038 View
  12. Bathina K, ten Thij M, Valdez D, Rutter L, Bollen J, Osório F. Declining well-being during the COVID-19 pandemic reveals US social inequities. PLOS ONE 2021;16(7):e0254114 View
  13. Gianfredi V, Provenzano S, Santangelo O. What can internet users' behaviours reveal about the mental health impacts of the COVID-19 pandemic? A systematic review. Public Health 2021;198:44 View
  14. Marcantonio T, Valdez D, Jozkowski K. Assessing Young Adults’ Internal Feelings Related to Refusing Sexual Behavior. The Journal of Sex Research 2021;58(9):1184 View
  15. Maciaszek J, Lenart M, Misiak B, Grzebieluch J, Gawłowski P, Ciułkowicz M, Łuc D, Szcześniak D, Rymaszewska J. Unknown Enemy and Psychopathological Responses: A Cross-Sectional Nationwide Study Assessing the Knowledge About COVID-19. Frontiers in Psychiatry 2021;12 View
  16. Huang M, Khurana A, Mastorakos G, Wen A, He H, Wang L, Liu S, Wang Y, Zong N, Prigge J, Costello B, Shah N, Ting H, Fan J, Patten C, Liu H. Patient Portal Messaging for Asynchronous Virtual Care During the COVID-19 Pandemic: Retrospective Analysis. JMIR Human Factors 2022;9(2):e35187 View
  17. Hoefer G, Massachi T, Xu N, Nugent N, Huang J. Bridging the Social Distance: Offline to Online Social Support during the COVID-19 Pandemic. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  18. Edinger A, Valdez D, Walsh-Buhi E, Bollen J. Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP). AIDS and Behavior 2023;27(2):443 View
  19. Liew T, Lee C. Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts. JMIR Public Health and Surveillance 2021;7(11):e29789 View
  20. Burke M, Heft-Neal S, Li J, Driscoll A, Baylis P, Stigler M, Weill J, Burney J, Wen J, Childs M, Gould C. Exposures and behavioural responses to wildfire smoke. Nature Human Behaviour 2022;6(10):1351 View
  21. Huang C, Bandyopadhyay A, Fan W, Miller A, Gilbertson-White S, Chen Z. Mental toll on working women during the COVID-19 pandemic: An exploratory study using Reddit data. PLOS ONE 2023;18(1):e0280049 View
  22. Cuomo R, Purushothaman V, Calac A, McMann T, Li Z, Mackey T. Estimating County-Level Overdose Rates Using Opioid-Related Twitter Data: Interdisciplinary Infodemiology Study. JMIR Formative Research 2023;7:e42162 View
  23. Valdez D, Jozkowski K, Haus K, ten Thij M, Crawford B, Montenegro M, Lo W, Turner R, Bollen J. Assessing rigid modes of thinking in self-declared abortion ideology: natural language processing insights from an online pilot qualitative study on abortion attitudes. Pilot and Feasibility Studies 2022;8(1) View
  24. Zhang S, Liu M, Li Y, Chung J. Teens’ Social Media Engagement during the COVID-19 Pandemic: A Time Series Examination of Posting and Emotion on Reddit. International Journal of Environmental Research and Public Health 2021;18(19):10079 View
  25. Zhang S, Sun L, Zhang D, Li P, Liu Y, Anand A, Xie Z, Li D. The COVID-19 Pandemic and Mental Health Concerns on Twitter in the United States. Health Data Science 2022;2022 View
  26. Arias F, Zambrano Nunez M, Guerra-Adames A, Tejedor-Flores N, Vargas-Lombardo M. Sentiment Analysis of Public Social Media as a Tool for Health-Related Topics. IEEE Access 2022;10:74850 View
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  28. Fhon J, Püschel V, Cavalcante R, Cruz F, Gonçalves L, Li W, Silva A. Repercussões na saúde mental e infodemia de covid-19 de idosos paulistanos. Revista da Escola de Enfermagem da USP 2022;56 View
  29. Kim D, Park C, Kim E, Han J, Song H. Social Sharing of Emotion During the COVID-19 Pandemic. Cyberpsychology, Behavior, and Social Networking 2022;25(6):369 View
  30. Lieneck C, Bosworth M, Weaver E, Heinemann K, Patel J. Protective and Non-Protective Factors of Mental Health Distress in the United States during the COVID-19 Pandemic: A Systematic Review. Medicina 2021;57(12):1377 View
  31. Asghar M, Iqbal A, Seitamaa-Hakkarainen P, Barbera E. Breaching Learners’ Social Distancing through Social Media during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(21):11012 View
  32. Valdez D, Unger J. Difficulty Regulating Social Media Content of Age-Restricted Products: Comparing JUUL’s Official Twitter Timeline and Social Media Content About JUUL. JMIR Infodemiology 2021;1(1):e29011 View
  33. Scarpino I, Zucco C, Vallelunga R, Luzza F, Cannataro M. Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration. BioTech 2022;11(3):41 View
  34. Winter R, Lavis A. The Impact of COVID-19 on Young People’s Mental Health in the UK: Key Insights from Social Media Using Online Ethnography. International Journal of Environmental Research and Public Health 2021;19(1):352 View
  35. Feng Y, Shah C. Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events. Information Processing & Management 2022;59(2):102811 View
  36. Lim S, Ng Q, Xin X, Lim Y, Boon E, Liew T. Public Discourse Surrounding Suicide during the COVID-19 Pandemic: An Unsupervised Machine Learning Analysis of Twitter Posts over a One-Year Period. International Journal of Environmental Research and Public Health 2022;19(21):13834 View
  37. İSMAİLOĞLU F. A Text Mining Analysis on Misinformation Regarding the COVID-19 Pandemic. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi 2022;9(1):20 View
  38. Isch C, ten Thij M, Todd P, Bollen J. Quantifying changes in societal optimism from online sentiment. Behavior Research Methods 2022;55(1):176 View
  39. Bastani P, Hakimzadeh S, Bahrami M. Designing a conceptual framework for misinformation on social media: a qualitative study on COVID-19. BMC Research Notes 2021;14(1) View
  40. Mathayomchan B, Taecharungroj V, Wattanacharoensil W. Evolution of COVID-19 tweets about Southeast Asian Countries: topic modelling and sentiment analyses. Place Branding and Public Diplomacy 2022 View
  41. Valdez D, Goodson P. Neutral or Framed? A Sentiment Analysis of 2019 Abortion Laws. Sexuality Research and Social Policy 2022;19(3):936 View
  42. Russell A, Valdez D, Chiang S, Montemayor B, Barry A, Lin H, Massey P. Using Natural Language Processing to Explore “Dry January” Posts on Twitter: Longitudinal Infodemiology Study. Journal of Medical Internet Research 2022;24(11):e40160 View
  43. Culp F, Wu Y, Wu D, Ren Y, Raynor P, Hung P, Qiao S, Li X, Eichelberger K. Understanding Alcohol Use Discourse and Stigma Patterns in Perinatal Care on Twitter. Healthcare 2022;10(12):2375 View
  44. Ng R, Indran N, Liu L. Ageism on Twitter during the COVID‐19 pandemic. Journal of Social Issues 2022;78(4):842 View
  45. Han Y, Pan W, Li J, Zhang T, Zhang Q, Zhang E. Developmental Trend of Subjective Well-Being of Weibo Users During COVID-19: Online Text Analysis Based on Machine Learning Method. Frontiers in Psychology 2022;12 View
  46. Valdez D, Jozkowski K, Montenegro M, Crawford B, Jackson F. Identifying accurate pro‐choice and pro‐life identity labels in Spanish: Social media insights and implications for comparative survey research. Perspectives on Sexual and Reproductive Health 2022;54(4):166 View
  47. Golder S, Jefferson L, McHugh E, Essex H, Heathcote C, Castro Avila A, Dale V, Van Der Feltz‐Cornelis C, Bloor K. General practitioners' wellbeing during the COVID ‐19 pandemic: Novel methods with social media data. Health Information & Libraries Journal 2022 View
  48. Gelashvili V, Martínez-Navalón J, Gómez-Borja M. Does the intensity of use of social media influence the economic sustainability of the university?. The Journal of Technology Transfer 2022 View
  49. Liu S, Liu J. Public attitudes toward COVID-19 vaccines on English-language Twitter: A sentiment analysis. Vaccine 2021;39(39):5499 View
  50. Tsao S, MacLean A, Chen H, Li L, Yang Y, Butt Z. Public Attitudes During the Second Lockdown: Sentiment and Topic Analyses Using Tweets From Ontario, Canada. International Journal of Public Health 2022;67 View
  51. Tušl M, Thelen A, Marcus K, Peters A, Shalaeva E, Scheckel B, Sykora M, Elayan S, Naslund J, Shankardass K, Mooney S, Fadda M, Gruebner O. Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events. Discover Mental Health 2022;2(1) View
  52. Fhon J, Püschel V, Cavalcante R, Cruz F, Gonçalves L, Li W, Silva A. Infodemic of covid-19 and repercussions on the mental health of the elderly from São Paulo. Revista da Escola de Enfermagem da USP 2022;56 View
  53. Volkert J, Taubner S, Berning A, Kling L, Wießner H, Georg A, Holl J. Transdiagnostic Mechanisms of Mental Health During the COVID-19 Pandemic on Adults and Families in Germany: Study Protocol of a Cross-Sectional and 1-Year Longitudinal Study. Frontiers in Psychology 2021;12 View
  54. Daimer S, Mihatsch L, Neufeld S, Murray G, Knolle F. Investigating the relationship of COVID-19 related stress and media consumption with schizotypy, depression, and anxiety in cross-sectional surveys repeated throughout the pandemic in Germany and the UK. eLife 2022;11 View
  55. Rezapour M, Elmshaeuser S, Vellido A. Artificial intelligence-based analytics for impacts of COVID-19 and online learning on college students’ mental health. PLOS ONE 2022;17(11):e0276767 View
  56. Chemnad K, Alshakhsi S, Almourad M, Altuwairiqi M, Phalp K, Ali R. Smartphone Usage before and during COVID-19: A Comparative Study Based on Objective Recording of Usage Data. Informatics 2022;9(4):98 View
  57. León-Sandoval E, Zareei M, Barbosa-Santillán L, Falcón Morales L, Pareja Lora A, Ochoa Ruiz G, Hošovský A. Monitoring the Emotional Response to the COVID-19 Pandemic Using Sentiment Analysis: A Case Study in Mexico. Computational Intelligence and Neuroscience 2022;2022:1 View
  58. Bahuguna A, Yadav D, Senapati A, Saha B, Pinto D, Beltrán B, Singh V. A unified deep neuro-fuzzy approach for COVID-19 twitter sentiment classification. Journal of Intelligent & Fuzzy Systems 2022;42(5):4587 View
  59. Levanti D, Monastero R, Zamani M, Eichstaedt J, Giorgi S, Schwartz H, Meliker J. Depression and Anxiety on Twitter During the COVID-19 Stay-At-Home Period in 7 Major U.S. Cities. AJPM Focus 2023;2(1):100062 View
  60. Ding Q, Massey D, Huang C, Grady C, Lu Y, Cohen A, Matzner P, Mahajan S, Caraballo C, Kumar N, Xue Y, Dreyer R, Roy B, Krumholz H. Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study. JMIR Public Health and Surveillance 2021;7(9):e29413 View
  61. Jones R, Mougouei D, Evans S. Understanding the emotional response to COVID‐19 information in news and social media: A mental health perspective. Human Behavior and Emerging Technologies 2021;3(5):832 View
  62. Chen R, Muralidharan K, Samelson‐Jones B. Digital haemophilia: Insights into the use of social media for haemophilia care, research and advocacy. Haemophilia 2022;28(2):247 View
  63. Lo Moro G, Scaioli G, Martella M, Pagani A, Colli G, Bert F, Siliquini R. Exploring Cyberaggression and Mental Health Consequences among Adults: An Italian Nationwide Cross-Sectional Study. International Journal of Environmental Research and Public Health 2023;20(4):3224 View
  64. León-Sandoval E, Zareei M, Barbosa-Santillán L, Falcón Morales L. Measuring the Impact of Language Models in Sentiment Analysis for Mexico’s COVID-19 Pandemic. Electronics 2022;11(16):2483 View
  65. Baird A, Xia Y, Cheng Y. Consumer perceptions of telehealth for mental health or substance abuse: a Twitter-based topic modeling analysis. JAMIA Open 2022;5(2) View
  66. Guazzini A, Gursesli M, Serritella E, Tani M, Duradoni M. Obsessive-Compulsive Disorder (OCD) Types and Social Media: Are Social Media Important and Impactful for OCD People?. European Journal of Investigation in Health, Psychology and Education 2022;12(8):1108 View
  67. Chiny M, Chihab M, Bencharef O, Chihab Y, Moumen A, Mejjad N, Slimani H. Analysis of sentiments conveyed through Twitter concerning COVID-19. SHS Web of Conferences 2021;119:07003 View
  68. Ntompras C, Drosatos G, Kaldoudi E. A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic. Journal of Computational Social Science 2022;5(1):687 View
  69. Siriaraya P, Zhang Y, Kawai Y, Jeszenszky P, Jatowt A, Zhao J. A city-wide examination of fine-grained human emotions through social media analysis. PLOS ONE 2023;18(2):e0279749 View
  70. Sarangi A, Amor W, Co E, Javed S, Usmani S, Rashid A. Social Media Reinvented: Can Social Media Help Tackle the Post-Pandemic Mental Health Onslaught?. Cureus 2022 View
  71. Valdez D, Patterson M, Liu N. Computational analyses identify addiction help-seeking behaviors on the social networking website Reddit: Insights into online social interactions and addiction support communities. PLOS Digital Health 2022;1(11):e0000143 View
  72. Tang J, Arvind V, Dominy C, White C, Cho S, Kim J. How Are Patients Reviewing Spine Surgeons Online? A Sentiment Analysis of Physician Review Website Written Comments. Global Spine Journal 2022:219256822110699 View
  73. Li M, Hua Y, Liao Y, Zhou L, Li X, Wang L, Yang J. Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study. Journal of Medical Internet Research 2022;24(10):e39676 View
  74. Göbel P, Sanlier N, Yilmaz S, Açikalin B, Kocabaş Ş. The Correlation between Social Media Addiction and Emotional Eating during the COVID-19 Quarantine Period. Ecology of Food and Nutrition 2023;62(1-2):60 View
  75. Rosenthal S, Tobin A. Self-esteem only goes so far: the moderating effect of social media screen time on self-esteem and depressive symptoms. Behaviour & Information Technology 2022:1 View
  76. Bizzotto N, Morlino S, Schulz P. Misinformation in Italian Online Mental Health Communities During the COVID-19 Pandemic: Protocol for a Content Analysis Study. JMIR Research Protocols 2022;11(5):e35347 View
  77. Shi B, Xu K, Zhao J. The long-term impacts of air quality on fine-grained online emotional responses to haze pollution in 160 Chinese cities. Science of The Total Environment 2023;864:161160 View
  78. Drescher L, Roosen J, Aue K, Dressel K, Schär W, Götz A. The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis. JMIR Public Health and Surveillance 2021;7(12):e31834 View
  79. Wu D, Kasson E, Singh A, Ren Y, Kaiser N, Huang M, Cavazos-Rehg P. Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use–Associated Lung Injury Outbreak: Comparative Study. Journal of Medical Internet Research 2022;24(12):e39460 View
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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