Published on in Vol 4, No 4 (2017): Oct-Dec

#MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter

#MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter

#MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter

Journals

  1. Alvarez-Mon M, Llavero-Valero M, Sánchez-Bayona R, Pereira-Sanchez V, Vallejo-Valdivielso M, Monserrat J, Lahera G, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Stigmatic Attitudes of the General Public in Five Relevant Medical Conditions: Thematic and Quantitative Analysis Using Twitter. Journal of Medical Internet Research 2019;21(5):e14110 View
  2. Kelleher E, Moreno M, Wilt M. Recruitment of Participants and Delivery of Online Mental Health Resources for Depressed Individuals Using Tumblr: Pilot Randomized Control Trial. JMIR Research Protocols 2018;7(4):e95 View
  3. Brandt H, Turner-McGrievy G, Friedman D, Gentile D, Schrock C, Thomas T, West D. Examining the Role of Twitter in Response and Recovery During and After Historic Flooding in South Carolina. Journal of Public Health Management and Practice 2019;25(5):E6 View
  4. Szlyk H, Deng J, Xu C, Krauss M, Cavazos‐Rehg P. Leveraging social media to explore the barriers to treatment among individuals with depressive symptoms. Depression and Anxiety 2020;37(5):458 View
  5. Khasawneh A, Chalil Madathil K, Dixon E, Wiśniewski P, Zinzow H, Roth R. Examining the Self-Harm and Suicide Contagion Effects of the Blue Whale Challenge on YouTube and Twitter: Qualitative Study. JMIR Mental Health 2020;7(6):e15973 View
  6. Schlichthorst M, King K, Turnure J, Sukunesan S, Phelps A, Pirkis J. Influencing the Conversation About Masculinity and Suicide: Evaluation of the Man Up Multimedia Campaign Using Twitter Data. JMIR Mental Health 2018;5(1):e14 View
  7. Harlow A, Willis S, Smith M, Rothman E. Bystander Prevention for Sexual Violence: #HowIWillChange and Gaps in Twitter Discourse. Journal of Interpersonal Violence 2021;36(11-12):NP5753 View
  8. Giuntini F, Cazzolato M, dos Reis M, Campbell A, Traina A, Ueyama J. A review on recognizing depression in social networks: challenges and opportunities. Journal of Ambient Intelligence and Humanized Computing 2020;11(11):4713 View
  9. Pan J, Liu B, Kreps G. A content analysis of depression-related discourses on Sina Weibo: attribution, efficacy, and information sources. BMC Public Health 2018;18(1) View
  10. Garcia-Rudolph A, Laxe S, Saurí J, Bernabeu Guitart M. Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective. Journal of Medical Internet Research 2019;21(8):e14077 View
  11. Michalak E, Morton E, Barnes S, Hole R, Murray G. Supporting Self-Management in Bipolar Disorder: Mixed-Methods Knowledge Translation Study. JMIR Mental Health 2019;6(4):e13493 View
  12. Logghe H, Selby L, Boeck M, Stamp N, Chuen J, Jones C. The academic tweet: Twitter as a tool to advance academic surgery. Journal of Surgical Research 2018;226:viii View
  13. McCauley H, Bonomi A, Maas M, Bogen K, O'Malley T. #MaybeHeDoesntHitYou: Social Media Underscore the Realities of Intimate Partner Violence. Journal of Women's Health 2018;27(7):885 View
  14. Fonseka T, Bhat V, Kennedy S. The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors. Australian & New Zealand Journal of Psychiatry 2019;53(10):954 View
  15. Reinisch A, Schröder S, Ulrich F, Padberg W, Liese J. Antibiotic-treated acute appendicitis—reception in social media. Langenbeck's Archives of Surgery 2019;404(3):343 View
  16. DeJohn A, Schulz E, Pearson A, Lachmar E, Wittenborn A. Identifying and Understanding Communities Using Twitter to Connect About Depression: Cross-Sectional Study. JMIR Mental Health 2018;5(4):e61 View
  17. Makita M, Mas-Bleda A, Morris S, Thelwall M. Mental Health Discourses on Twitter during Mental Health Awareness Week. Issues in Mental Health Nursing 2021;42(5):437 View
  18. Doan S, Yang E, Tilak S, Li P, Zisook D, Torii M. Extracting health-related causality from twitter messages using natural language processing. BMC Medical Informatics and Decision Making 2019;19(S3) View
  19. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  20. Delanys S, Benamara F, Moriceau V, Olivier F, Mothe J. Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French. JMIR Formative Research 2022;6(2):e18539 View
  21. Skaik R, Inkpen D. Using Social Media for Mental Health Surveillance. ACM Computing Surveys 2021;53(6):1 View
  22. Sipocz D, Freeman J, Elton J, Bowers B. “A Toxic Trend?”: Generational Conflict and Connectivity in Twitter Discourse Under the #BoomerRemover Hashtag. The Gerontologist 2021;61(2):166 View
  23. Coll-Florit M, Climent S, Sanfilippo M, Hernández-Encuentra E. Metaphors of Depression. Studying First Person Accounts of Life with Depression Published in Blogs. Metaphor and Symbol 2021;36(1):1 View
  24. Nicholas J, Onie S, Larsen M. Ethics and Privacy in Social Media Research for Mental Health. Current Psychiatry Reports 2020;22(12) View
  25. Németh R, Sik D, Katona E. The asymmetries of the biopsychosocial model of depression in lay discourses - Topic modelling online depression forums. SSM - Population Health 2021;14:100785 View
  26. Khasawneh A, Chalil Madathil K, Zinzow H, Rosopa P, Natarajan G, Achuthan K, Narasimhan M. Factors Contributing to Adolescents’ and Young Adults’ Participation in Web-Based Challenges: Survey Study. JMIR Pediatrics and Parenting 2021;4(1):e24988 View
  27. Alvarez-Mon M, de Anta L, Llavero-Valero M, Lahera G, Ortega M, Soutullo C, Quintero J, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter. Journal of Clinical Medicine 2021;10(12):2668 View
  28. Cohrdes C, Yenikent S, Wu J, Ghanem B, Franco-Salvador M, Vogelgesang F. Indications of Depressive Symptoms During the COVID-19 Pandemic in Germany: Comparison of National Survey and Twitter Data. JMIR Mental Health 2021;8(6):e27140 View
  29. 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
  30. Gutierrez E, Karwowski W, Fiok K, Davahli M, Liciaga T, Ahram T. Analysis of Human Behavior by Mining Textual Data: Current Research Topics and Analytical Techniques. Symmetry 2021;13(7):1276 View
  31. 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
  32. Nawaz F, Riaz M, Tsagkaris C, Faisal U, Klager E, Kletecka-Pulker M, Kimberger O, Willschke H, Khan N, Sultan M, Atanasov A. Impact of #PsychTwitter in promoting global psychiatry: A hashtag analysis study. Frontiers in Public Health 2023;11 View
  33. Németh R, Máté F, Katona E, Rakovics M, Sik D. Bio, psycho, or social: supervised machine learning to classify discursive framing of depression in online health communities. Quality & Quantity 2022;56(6):3933 View
  34. Sik D, Németh R, Katona E. Topic modelling online depression forums: beyond narratives of self-objectification and self-blaming. Journal of Mental Health 2023;32(2):386 View
  35. Stupinski A, Alshaabi T, Arnold M, Adams J, Minot J, Price M, Dodds P, Danforth C. Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study. JMIR Mental Health 2022;9(3):e33685 View
  36. Akhther N, Sopory P. Seeking and Sharing Mental Health Information on Social Media During COVID-19: Role of Depression and Anxiety, Peer Support, and Health Benefits. Journal of Technology in Behavioral Science 2022;7(2):211 View
  37. Freeman J, Elton J, Sipocz D. ‘Defined by the #CoronavirusOutbreak’: characterizing Gen Z in Twitter discourse surrounding COVID-19. Journal of Youth Studies 2023;26(9):1130 View
  38. 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
  39. Liu J, Shi M. What Are the Characteristics of User Texts and Behaviors in Chinese Depression Posts?. International Journal of Environmental Research and Public Health 2022;19(10):6129 View
  40. Bacsu J, O'Connell M, Cammer A, Ahmadi S, Berger C, Azizi M, Gowda-Sookochoff R, Grewal K, Green S, Knight S, Spiteri R. Examining the Impact of COVID-19 on People With Dementia From the Perspective of Family and Friends: Thematic Analysis of Tweets. JMIR Aging 2022;5(2):e38363 View
  41. de Anta L, Alvarez-Mon M, Ortega M, Salazar C, Donat-Vargas C, Santoma-Vilaclara J, Martin-Martinez M, Lahera G, Gutierrez-Rojas L, Rodriguez-Jimenez R, Quintero J, Alvarez-Mon M. Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study. Journal of Personalized Medicine 2022;12(2):155 View
  42. 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
  43. Savekar A, Tarai S, Singh M. Structural and functional markers of language signify the symptomatic effect of depression: A systematic literature review. European Journal of Applied Linguistics 2023;11(1):190 View
  44. Correa-Urquiza Vidal M, Pié Balaguer A, Coll-Florit M, Hernández i Encuentra E, Climent S. Orgullo loco y metáforas para una disidencia: un análisis lingüístico y simbólico. Salud Colectiva 2020;16:e2886 View
  45. Li J, Tang L, Pu Y. My Story of Depression: A Content Analysis of Autobiographic Videos on Douyin. Health Communication 2024;39(5):906 View
  46. 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
  47. Gu L, Ding H. A bibliometric analysis of media coverage of mental disorders between 2002 and 2022. Social Psychiatry and Psychiatric Epidemiology 2023;58(11):1719 View
  48. Zhu J, Li Z, Zhang X, Zhang Z, Hu B. Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis. Journal of Medical Internet Research 2023;25:e45777 View
  49. Aruah D, Henshaw Y, Walsh-Childers K. Tweets That Matter: Exploring the Solutions to Maternal Mortality in the United States Discussed by Advocacy Organizations on Twitter. International Journal of Environmental Research and Public Health 2023;20(9):5617 View
  50. Malloch Y, Zhang J, Qian S. Effects of social comparison direction, comparison distance, and message framing on health behavioral intention in online support groups. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2023;17(3) View
  51. Carabot F, Donat-Vargas C, Santoma-Vilaclara J, Ortega M, García-Montero C, Fraile-Martínez O, Zaragoza C, Monserrat J, Alvarez-Mon M, Alvarez-Mon M. Exploring Perceptions About Paracetamol, Tramadol, and Codeine on Twitter Using Machine Learning: Quantitative and Qualitative Observational Study. Journal of Medical Internet Research 2023;25:e45660 View
  52. Németh R, Sik D, Zaboretzky B, Katona E. Depression in times of a pandemic – the impact of COVID-19 on the lay discourses of e-mental health communities. Information, Communication & Society 2024;27(3):538 View
  53. Carabot F, Fraile-Martínez O, Donat-Vargas C, Santoma J, Garcia-Montero C, Pinto da Costa M, Molina-Ruiz R, Ortega M, Alvarez-Mon M, Alvarez-Mon M. Understanding Public Perceptions and Discussions on Opioids Through Twitter: Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2023;25:e50013 View
  54. Chin H, Song H, Baek G, Shin M, Jung C, Cha M, Choi J, Cha C. The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e51712 View
  55. Talbot A, Ford T, Ryan S, Mahtani K, Albury C. #TreatmentResistantDepression: A qualitative content analysis of Tweets about difficult‐to‐treat depression. Health Expectations 2023;26(5):1986 View
  56. DeJohn A, Widener M, Mihailidis A. Who uses technology to socialize? Evidence from older Canadian adults. Discover Social Science and Health 2023;3(1) View
  57. Tambling R, D’Aniello - Heyda C, Hynes K. Manifestations of Depression on Social Media: a Content Analysis of Twitter Posts. Journal of Technology in Behavioral Science 2023;9(2):252 View
  58. Sik D, Rakovics M, Buda J, Németh R. The impact of depression forums on illness narratives: a comprehensive NLP analysis of socialization in e-mental health communities. Journal of Computational Social Science 2023;6(2):781 View
  59. Aldkheel A, Zhou L. Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities. Journal of Healthcare Informatics Research 2024;8(1):88 View
  60. Chart-Pascual J, Montero-Torres M, Ortega M, Mar-Barrutia L, Zorrilla Martinez I, Alvarez-Mon M, Gonzalez-Pinto A, Alvarez-Mon M. Areas of interest and sentiment analysis towards second generation antipsychotics, lithium and mood stabilizing anticonvulsants: Unsupervised analysis using Twitter. Journal of Affective Disorders 2024;351:649 View
  61. Russo R, Seedall R, Aller T, Clark J. #ThisIsWhatAnxietyFeelsLike: Twitter Users’ Narratives of the Interpersonal Effects of Anxiety. Contemporary Family Therapy 2024;46(4):399 View
  62. Wu X, Zhou Y, Zhong B. Measuring social support for depression on social media: A multifaceted study on user interaction and emotional spread. Telematics and Informatics 2024;89:102120 View
  63. 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
  64. Huang C. Quoting and well-being: researching social media posts of two mental health campaigns in Hong Kong. Journal of Multilingual and Multicultural Development 2024:1 View
  65. Okere O, Onyebinama C. A Qualitative Analysis of Open-Access Publishing-Related Posts on Twitter. Open Information Science 2024;8(1) View
  66. AbouWarda H, Dolata M, Schwabe G. How Does an Online Mental Health Community on Twitter Empower Diverse Population Levels and Groups? A Qualitative Analysis of #BipolarClub. Journal of Medical Internet Research 2024;26:e55965 View
  67. Mittmann G, Schrank B, Steiner‐Hofbauer V. A scoping review about the portrayal of depression and anxiety in mainstream and social media. International Journal of Psychology 2024;59(6):1075 View
  68. Sik D, Rakovics M, Németh R. The Manifest and Latent Structures of Medicalization and Psychologization in Lay Depression Discourses — A Word Embedding Analysis of Online Forums. Journal of Technology in Behavioral Science 2024 View
  69. Németh R, Sik D, Máté F. Machine Learning of Concepts Hard Even for Humans: The Case of Online Depression Forums. International Journal of Qualitative Methods 2020;19 View
  70. Jones S, Anderson R. “One Minute for Your Mind”: The Development, Implementation, and Application of Our Mental Health Minute. Journal of Black Psychology 2020;46(5):351 View
  71. Huang X, Gan Y, Syed A. Narratives of Anxiety and Depression on YouTube: A Corpus-Based Thematic Analysis. Language and Health 2024;2(2):100029 View

Books/Policy Documents

  1. Bollen J, ten Thij M, Lorenzo-Luaces L, Rutter L. Early Detection of Mental Health Disorders by Social Media Monitoring. View
  2. Munoriyarwa A. Women’s Activism Online and the Global Struggle for Social Change. View
  3. Thakur N, Cho H, Cheng H, Lee H. HCI International 2023 – Late Breaking Papers. View
  4. Wise R, Gavin J, Rodham K. The Future of Qualitative Research in Healthcare. View