Published on 02.11.16 in Vol 18, No 11 (2016): November
Works citing "“How Did We Get Here?”: Topic Drift in Online Health Discussions"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6297):
(note that this is only a small subset of citations)
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Zhou J, Wang G, Zhou T, Fan T. The role of off-topic discussions in online health support groups: insights from a content analysis of an online rectal cancer group. Supportive Care in Cancer 2020;28(7):3219
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Park A, Conway M. Longitudinal Changes in Psychological States in Online Health Community Members: Understanding the Long-Term Effects of Participating in an Online Depression Community. Journal of Medical Internet Research 2017;19(3):e71
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Dechesne M, Bandt-Law B. Terror in time: extending culturomics to address basic terror management mechanisms. Cognition and Emotion 2019;33(3):492
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Bopp T, Stellefson M. Practical and Ethical Considerations for Schools Using Social Media to Promote Physical Literacy in Youth. International Journal of Environmental Research and Public Health 2020;17(4):1225
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Bender JL, Flora PK, Milosevic E, Soheilipour S, Maharaj N, Dirlea M, Parvin L, Matthew A, Kazanjian A. Training prostate cancer survivors and caregivers to be peer navigators: a blended online/in-person competency-based training program. Supportive Care in Cancer 2021;29(3):1235
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Park A, Conway M, Chen AT. Examining thematic similarity, difference, and membership in three online mental health communities from reddit: A text mining and visualization approach. Computers in Human Behavior 2018;78:98
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Zhao D, Zhang Q, Ma F. Communication that changes lives: an exploratory research on a Chinese online hypertension community. Library Hi Tech 2020;38(4):883
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Park A, Conway M. Harnessing Reddit to Understand the Written-Communication Challenges Experienced by Individuals With Mental Health Disorders: Analysis of Texts From Mental Health Communities. Journal of Medical Internet Research 2018;20(4):e121
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Canter KS, Christofferson J, Scialla MA, Kazak AE. Technology-Focused Family Interventions in Pediatric Chronic Illness: A Systematic Review. Journal of Clinical Psychology in Medical Settings 2019;26(1):68
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Sun Y, Kolacinski R, Loparo K. Transitive Topic Modeling with Conversational Structure Context: Discovering Topics that are Most Popular in Online Discussions. International Journal of Semantic Computing 2020;14(02):273
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Sun HL, Fichman P. Evolution of discussion topics on an online depression self-help group. Library Hi Tech 2023;
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De Santo A, Moro A, Kocher B, Holzer A. Helping Each Other Quit Online: Understanding User Engagement and Real Life Outcomes of the r/StopSmoking Digital Smoking Cessation Community. ACM Transactions on Social Computing 2022;
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Hu M, Benson R, Chen AT, Zhu S, Conway M. Determining the prevalence of cannabis, tobacco, and vaping device mentions in online communities using natural language processing. Drug and Alcohol Dependence 2021;228:109016
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Benson R, Hu M, Chen AT, Zhu S, Conway M. Examining Cannabis, Tobacco, and Vaping Discourse on Reddit: An Exploratory Approach Using Natural Language Processing. Frontiers in Public Health 2022;9
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Ye P, Liu L. Factors Affecting User Intention to Pay via Online Medical Service Platform. International Journal of Healthcare Information Systems and Informatics 2022;16(4):1
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Oduru T, Jordan A, Park A. Healthy vs. Unhealthy Food Images: Image Classification of Twitter Images. International Journal of Environmental Research and Public Health 2022;19(2):923
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Zhang J, Pan Y, Lin H, Sun Z, Wu P, Tu J. Infodemic: Challenges and solutions in topic discovery and data process. Archives of Public Health 2023;81(1)
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Liu J, Jiang H, Wang S. Physicians’ Online Writing Language Style and Patient Satisfaction: The Mediator of Depth of Physician–Patient Interactions. Healthcare 2023;11(11):1569
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6297):
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Alshehri J, Stanojevic M, Dragut E, Obradovic Z. Advances in Information Retrieval. 2021. Chapter 1:3
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