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Citing this Article

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Published on 01.10.13 in Vol 15, No 10 (2013): October

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

Works citing "Activities on Facebook Reveal the Depressive State of Users"

Sungkyu Park, Sang Won Lee, Jinah Kwak, Meeyoung Cha, Bumseok Jeong

J Med Internet Res 2013 (Oct 01); 15(10):e217 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2718):

(note that this is only a small subset of citations)

  1. Park M, Chung MY. Mediating Effects of Interpersonal Problems in the Relationship between Social Network Service Use Tendency and Depression among University Students. Journal of Korean Academy of Community Health Nursing 2019;30(1):38
    CrossRef
  2. Grande D, Luna Marti X, Feuerstein-Simon R, Merchant RM, Asch DA, Lewson A, Cannuscio CC. Health Policy and Privacy Challenges Associated With Digital Technology. JAMA Network Open 2020;3(7):e208285
    CrossRef
  3. Rohani DA, Faurholt-Jepsen M, Kessing LV, Bardram JE. Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review. JMIR mHealth and uHealth 2018;6(8):e165
    CrossRef
  4. Frost RL, Rickwood DJ. A systematic review of the mental health outcomes associated with Facebook use. Computers in Human Behavior 2017;76:576
    CrossRef
  5. Peng Z, Hu Q, Dang J. Multi-kernel SVM based depression recognition using social media data. International Journal of Machine Learning and Cybernetics 2019;10(1):43
    CrossRef
  6. Naja WJ, Kansoun AH, Haddad RS. Prevalence of Depression in Medical Students at the Lebanese University and Exploring its Correlation With Facebook Relevance: A Questionnaire Study. JMIR Research Protocols 2016;5(2):e96
    CrossRef
  7. Seabrook EM, Kern ML, Rickard NS. Social Networking Sites, Depression, and Anxiety: A Systematic Review. JMIR Mental Health 2016;3(4):e50
    CrossRef
  8. Coşkun M, Ozturan M. #europehappinessmap: A Framework for Multi-Lingual Sentiment Analysis via Social Media Big Data (A Twitter Case Study). Information 2018;9(5):102
    CrossRef
  9. Ophir Y, Asterhan CS, Schwarz BB. The digital footprints of adolescent depression, social rejection and victimization of bullying on Facebook. Computers in Human Behavior 2019;91:62
    CrossRef
  10. Ko M, Yeo J, Lee J, Lee U, Jang YJ, Cristani M. What Makes Sports Fans Interactive? Identifying Factors Affecting Chat Interactions in Online Sports Viewing. PLOS ONE 2016;11(2):e0148377
    CrossRef
  11. Gao J, Zhang Y, Zhou T. Computational socioeconomics. Physics Reports 2019;817:1
    CrossRef
  12. Cavazos-Rehg PA, Krauss MJ, Sowles SJ, Connolly S, Rosas C, Bharadwaj M, Grucza R, Bierut LJ. An Analysis of Depression, Self-Harm, and Suicidal Ideation Content on Tumblr. Crisis 2017;38(1):44
    CrossRef
  13. Zhang A, Rau PP. A Review and Reappraisal of Social Media Misuse: Measurements, Consequences, and Predictors. International Journal of Human–Computer Interaction 2021;37(1):1
    CrossRef
  14. Hussain J, Satti FA, Afzal M, Khan WA, Bilal HSM, Ansaar MZ, Ahmad HF, Hur T, Bang J, Kim J, Park GH, Seung H, Lee S. Exploring the dominant features of social media for depression detection. Journal of Information Science 2020;46(6):739
    CrossRef
  15. Yoshida S, Hijikata Y. Envy Sensitivity on Twitter and Facebook Among Japanese Young Adults. International Journal of Cyber Behavior, Psychology and Learning 2017;7(1):18
    CrossRef
  16. Vahedi Z, Zannella L. The association between self-reported depressive symptoms and the use of social networking sites (SNS): A meta-analysis. Current Psychology 2021;40(5):2174
    CrossRef
  17. . Online Social Networking and Mental Health. Cyberpsychology, Behavior, and Social Networking 2014;17(10):652
    CrossRef
  18. Smith RJ, Crutchley P, Schwartz HA, Ungar L, Shofer F, Padrez KA, Merchant RM. Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study. Journal of Medical Internet Research 2017;19(1):e7
    CrossRef
  19. Fatima I, Mukhtar H, Ahmad HF, Rajpoot K. Analysis of user-generated content from online social communities to characterise and predict depression degree. Journal of Information Science 2018;44(5):683
    CrossRef
  20. Chancellor S, De Choudhury M. Methods in predictive techniques for mental health status on social media: a critical review. npj Digital Medicine 2020;3(1)
    CrossRef
  21. Patel R, Chang T, Greysen SR, Chopra V. Social Media Use in Chronic Disease: A Systematic Review and Novel Taxonomy. The American Journal of Medicine 2015;128(12):1335
    CrossRef
  22. Byaruhanga J, Tzelepis F, Paul C, Wiggers J, Byrnes E, Lecathelinais C. Cost Per Participant Recruited From Rural and Remote Areas Into a Smoking Cessation Trial Via Online or Traditional Strategies: Observational Study. Journal of Medical Internet Research 2019;21(11):e14911
    CrossRef
  23. Tosun LP, Kaşdarma E. Passive Facebook Use and Depression. Journal of Media Psychology 2020;32(4):165
    CrossRef
  24. Cheng PGF, Ramos RM, Bitsch J, Jonas SM, Ix T, See PLQ, Wehrle K. Psychologist in a Pocket: Lexicon Development and Content Validation of a Mobile-Based App for Depression Screening. JMIR mHealth and uHealth 2016;4(3):e88
    CrossRef
  25. Wee J, Jang S, Lee J, Jang W. The influence of depression and personality on social networking. Computers in Human Behavior 2017;74:45
    CrossRef
  26. Xu X, Litchman ML, Gee PM, Whatcott W, Chacon L, Holmes J, Srinivasan SS. Predicting Prediabetes Through Facebook Postings: Protocol for a Mixed-Methods Study. JMIR Research Protocols 2018;7(12):e10720
    CrossRef
  27. Gwynette MF, Morriss D, Warren N, Truelove J, Warthen J, Ross CP, Mood G, Snook CA, Borckardt J. Social Skills Training for Adolescents With Autism Spectrum Disorder Using Facebook (Project Rex Connect): A Survey Study. JMIR Mental Health 2017;4(1):e4
    CrossRef
  28. Giuntini FT, Cazzolato MT, dos Reis MDJD, Campbell AT, Traina AJM, Ueyama J. A review on recognizing depression in social networks: challenges and opportunities. Journal of Ambient Intelligence and Humanized Computing 2020;11(11):4713
    CrossRef
  29. Dogrucu A, Perucic A, Isaro A, Ball D, Toto E, Rundensteiner EA, Agu E, Davis-Martin R, Boudreaux E. Moodable: On feasibility of instantaneous depression assessment using machine learning on voice samples with retrospectively harvested smartphone and social media data. Smart Health 2020;17:100118
    CrossRef
  30. Asch DA, Rader DJ, Merchant RM. Mining the social mediome. Trends in Molecular Medicine 2015;21(9):528
    CrossRef
  31. Padrez KA, Ungar L, Schwartz HA, Smith RJ, Hill S, Antanavicius T, Brown DM, Crutchley P, Asch DA, Merchant RM. Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department. BMJ Quality & Safety 2016;25(6):414
    CrossRef
  32. Parikh SV, Huniewicz P. E-health. Current Opinion in Psychiatry 2015;28(1):13
    CrossRef
  33. Settanni M, Marengo D. Sharing feelings online: studying emotional well-being via automated text analysis of Facebook posts. Frontiers in Psychology 2015;6
    CrossRef
  34. Webb CA, Rosso IM, Rauch SL. Internet-Based Cognitive-Behavioral Therapy for Depression: Current Progress and Future Directions. Harvard Review of Psychiatry 2017;25(3):114
    CrossRef
  35. Baker DA, Algorta GP. The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies. Cyberpsychology, Behavior, and Social Networking 2016;19(11):638
    CrossRef
  36. Zhang R, Fu JS. Linking Network Characteristics of Online Social Networks to Individual Health: A Systematic Review of Literature. Health Communication 2021;36(12):1549
    CrossRef
  37. Guha M, Seale L. “Reading maketh a full man”. Journal of Mental Health 2015;24(5):257
    CrossRef
  38. Fisher CE, Appelbaum PS. Beyond Googling: The Ethics of Using Patients' Electronic Footprints in Psychiatric Practice. Harvard Review of Psychiatry 2017;25(4):170
    CrossRef
  39. Pitman A, Osborn DPJ, King MB. The use of internet-mediated cross-sectional studies in mental health research. BJPsych Advances 2015;21(3):175
    CrossRef
  40. Dao B, Nguyen T, Venkatesh S, Phung D. Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities. International Journal of Data Science and Analytics 2017;4(3):209
    CrossRef
  41. Chancellor S, Baumer EPS, De Choudhury M. Who is the "Human" in Human-Centered Machine Learning. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1
    CrossRef
  42. Wongkoblap A, Vadillo MA, Curcin V. Researching Mental Health Disorders in the Era of Social Media: Systematic Review. Journal of Medical Internet Research 2017;19(6):e228
    CrossRef
  43. Lim MSC, Wright CJC, Carrotte ER, Pedrana AE. Reach, engagement, and effectiveness: a systematic review of evaluation methodologies used in health promotion via social networking sites. Health Promotion Journal of Australia 2016;27(3):187
    CrossRef
  44. Scherr S, Brunet A. Differential Influences of Depression and Personality Traits on the Use of Facebook. Social Media + Society 2017;3(1):205630511769849
    CrossRef
  45. . The stress-buffering effect of self-disclosure on Facebook: An examination of stressful life events, social support, and mental health among college students. Computers in Human Behavior 2017;75:527
    CrossRef
  46. . Considerations for the ethical implementation of psychological assessment through social media via machine learning. Ethics & Behavior 2021;31(3):181
    CrossRef
  47. Kelly DL, Spaderna M, Hodzic V, Nair S, Kitchen C, Werkheiser AE, Powell MM, Liu F, Coppersmith G, Chen S, Resnik P. Blinded Clinical Ratings of Social Media Data are Correlated with In-Person Clinical Ratings in Participants Diagnosed with Either Depression, Schizophrenia, or Healthy Controls. Psychiatry Research 2020;294:113496
    CrossRef
  48. Rehman A, Naz S, Razzak I. Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities. Multimedia Systems 2022;28(4):1339
    CrossRef
  49. Sadagheyani HE, Tatari F. Investigating the role of social media on mental health. Mental Health and Social Inclusion 2021;25(1):41
    CrossRef
  50. Stevanovic M, Tuhkanen S, Järvensivu M, Koskinen E, Savander E, Valkia K, Tay D. Physiological responses to proposals during dyadic decision-making conversations. PLOS ONE 2021;16(1):e0244929
    CrossRef
  51. Kim J, Uddin ZA, Lee Y, Nasri F, Gill H, Subramanieapillai M, Lee R, Udovica A, Phan L, Lui L, Iacobucci M, Mansur RB, Rosenblat JD, McIntyre RS. A Systematic review of the validity of screening depression through Facebook, Twitter, Instagram, and Snapchat. Journal of Affective Disorders 2021;286:360
    CrossRef
  52. Dysthe KK, Haavet OR, Røssberg JI, Brandtzaeg PB, Følstad A, Klovning A. Finding Relevant Psychoeducation Content for Adolescents Experiencing Symptoms of Depression: Content Analysis of User-Generated Online Texts. Journal of Medical Internet Research 2021;23(9):e28765
    CrossRef
  53. Limniou M, Ascroft Y, McLean S. Differences between Facebook and Instagram Usage in Regard to Problematic Use and Well-Being. Journal of Technology in Behavioral Science 2022;7(2):141
    CrossRef
  54. Santos WRD, de Oliveira RL, Paraboni I. SetembroBR: a social media corpus for depression and anxiety disorder prediction. Language Resources and Evaluation 2024;58(1):273
    CrossRef
  55. Dysthe KK, Røssberg JI, Brandtzaeg PB, Skjuve M, Haavet OR, Følstad A, Klovning A. Analyzing User-Generated Web-Based Posts of Adolescents’ Emotional, Behavioral, and Symptom Responses to Beliefs About Depression: Qualitative Thematic Analysis. Journal of Medical Internet Research 2023;25:e37289
    CrossRef
  56. Hemphill TA, Banerjee S. Facebook and self-regulation: Efficacious proposals – Or ‘smoke-and-mirrors’?. Technology in Society 2021;67:101797
    CrossRef
  57. Ulvi O, Karamehic-Muratovic A, Baghbanzadeh M, Bashir A, Smith J, Haque U. Social Media Use and Mental Health: A Global Analysis. Epidemiologia 2022;3(1):11
    CrossRef
  58. Yue C, Ware S, Morillo R, Lu J, Shang C, Bi J, Kamath J, Russell A, Bamis A, Wang B. Automatic depression prediction using Internet traffic characteristics on smartphones. Smart Health 2020;18:100137
    CrossRef
  59. Mandryk RL, Birk MV, Vedress S, Wiley K, Reid E, Berger P, Frommel J. Remote Assessment of Depression Using Digital Biomarkers From Cognitive Tasks. Frontiers in Psychology 2021;12
    CrossRef
  60. Ortega-Mendoza RM, Hernández-Farías DI, Montes-y-Gómez M, Villaseñor-Pineda L. Revealing traces of depression through personal statements analysis in social media. Artificial Intelligence in Medicine 2022;123:102202
    CrossRef
  61. Taghvaei N, Masoumi B, Keyvanpour MR. Analytical framework for mental health feature extraction methods in social networks. Intelligent Decision Technologies 2021;15(3):343
    CrossRef
  62. Dhelim S, Chen L, Das SK, 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
    CrossRef
  63. Hilty DM, Stubbe D, McKean AJ, Hoffman PE, Zalpuri I, Myint MT, Joshi SV, Pakyurek M, Li ST. A scoping review of social media in child, adolescents and young adults: research findings in depression, anxiety and other clinical challenges. BJPsych Open 2023;9(5)
    CrossRef
  64. Stangl FJ, Riedl R, Kiemeswenger R, Montag C. Negative psychological and physiological effects of social networking site use: The example of Facebook. Frontiers in Psychology 2023;14
    CrossRef
  65. Khare J, Kalra S, Jindal S. Sociocrinology: Impact of Social Media on Endocrine Health – A Review. Indian Journal of Endocrinology and Metabolism 2023;27(6):480
    CrossRef
  66. Maruf AA, Khanam F, Haque MM, Jiyad ZM, Mridha MF, Aung Z. Challenges and Opportunities of Text-Based Emotion Detection: A Survey. IEEE Access 2024;12:18416
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2718):

  1. Ebert DD, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. 2019. Chapter 29:583
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  2. Moreno MA, Pumper MA. The Wiley Handbook of Psychology, Technology, and Society. 2015. :287
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  3. Su Y, Zheng H, Liu X, Zhu T. Human Centered Computing. 2019. Chapter 26:257
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  4. Yusof NFA, Lin C, He Y. Encyclopedia of Social Network Analysis and Mining. 2017. Chapter 120-1:1
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  5. Orta IM, Örücü M. Intimacy and Developing Personal Relationships in the Virtual World. 2019. chapter 2:21
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  6. Yusof NFA, Lin C, He Y. Encyclopedia of Social Network Analysis and Mining. 2018. Chapter 120:2386
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  7. Hosseini-Saravani SH, Besharati S, Calvo H, Gelbukh A. Advances in Computational Intelligence. 2020. Chapter 25:282
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  8. Witherspoon T, Auriemma A, Perrelli KM. Successes and Setbacks of Social Media. 2020. :148
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  9. Orta IM, Örücü M. Research Anthology on Usage, Identity, and Impact of Social Media on Society and Culture. 2022. chapter 4:38
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  10. Heinz MV, Thomas NX, Nguyen ND, Griffin TZ, Jacobson NC. Comprehensive Clinical Psychology. 2022. :301
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  11. Orta IM, Örücü M. Research Anthology on Combating Cyber-Aggression and Online Negativity. 2022. chapter 83:1640
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  12. Dokuka S, Sivak E, Smirnov I. Network Science. 2022. Chapter 4:41
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  13. Wongkoblap A, Vadillo MA, Curcin V. Mental Health in a Digital World. 2022. :109
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  14. Safa R, Edalatpanah S, Sorourkhah A. Deep Learning in Personalized Healthcare and Decision Support. 2023. :285
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