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Citing this Article

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Published on 22.12.14 in Vol 16, No 12 (2014): December

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

Works citing "Ethical Issues in Using Twitter for Public Health Surveillance and Research: Developing a Taxonomy of Ethical Concepts From the Research Literature"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3617):

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

  1. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
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  2. Clark K, Duckham M, Guillemin M, Hunter A, McVernon J, O’Keefe C, Pitkin C, Prawer S, Sinnott R, Warr D, Waycott J. Advancing the ethical use of digital data in human research: challenges and strategies to promote ethical practice. Ethics and Information Technology 2019;21(1):59
    CrossRef
  3. O’Rourke PP, Carrithers J, Patrick-Lake B, Rice TW, Corsmo J, Hart R, Drezner MK, Lantos JD. Harmonization and streamlining of research oversight for pragmatic clinical trials. Clinical Trials 2015;12(5):449
    CrossRef
  4. Mikal J, Hurst S, Conway M. Ethical issues in using Twitter for population-level depression monitoring: a qualitative study. BMC Medical Ethics 2016;17(1)
    CrossRef
  5. Bloss C, Nebeker C, Bietz M, Bae D, Bigby B, Devereaux M, Fowler J, Waldo A, Weibel N, Patrick K, Klemmer S, Melichar L. Reimagining Human Research Protections for 21st Century Science. Journal of Medical Internet Research 2016;18(12):e329
    CrossRef
  6. 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
    CrossRef
  7. Hswen Y, Naslund JA, Brownstein JS, Hawkins JB. Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study. JMIR Mental Health 2018;5(4):e11483
    CrossRef
  8. Pill S, Harvey S, Hyndman B. Novel research approaches to gauge global teacher familiarity with game-based teaching in physical education: an exploratory #Twitter analysis. Asia-Pacific Journal of Health, Sport and Physical Education 2017;8(2):161
    CrossRef
  9. Ayers JW, Caputi TL, Nebeker C, Dredze M. Don’t quote me: reverse identification of research participants in social media studies. npj Digital Medicine 2018;1(1)
    CrossRef
  10. Leadbeater BJ, Dishion T, Sandler I, Bradshaw CP, Dodge K, Gottfredson D, Graham PW, Lindstrom Johnson S, Maldonado-Molina MM, Mauricio AM, Smith EP. Ethical Challenges in Promoting the Implementation of Preventive Interventions: Report of the SPR Task Force. Prevention Science 2018;19(7):853
    CrossRef
  11. Ford E, Curlewis K, Wongkoblap A, Curcin V. Public Opinions on Using Social Media Content to Identify Users With Depression and Target Mental Health Care Advertising: Mixed Methods Survey. JMIR Mental Health 2019;6(11):e12942
    CrossRef
  12. 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
    CrossRef
  13. Mita G, Ni Mhurchu C, Jull A. Effectiveness of social media in reducing risk factors for noncommunicable diseases: a systematic review and meta-analysis of randomized controlled trials. Nutrition Reviews 2016;74(4):237
    CrossRef
  14. Golder S, Ahmed S, Norman G, Booth A. Attitudes Toward the Ethics of Research Using Social Media: A Systematic Review. Journal of Medical Internet Research 2017;19(6):e195
    CrossRef
  15. Wong CA, Sap M, Schwartz A, Town R, Baker T, Ungar L, Merchant RM. Twitter Sentiment Predicts Affordable Care Act Marketplace Enrollment. Journal of Medical Internet Research 2015;17(2):e51
    CrossRef
  16. Sewalk KC, Tuli G, Hswen Y, Brownstein JS, Hawkins JB. Using Twitter to Examine Web-Based Patient Experience Sentiments in the United States: Longitudinal Study. Journal of Medical Internet Research 2018;20(10):e10043
    CrossRef
  17. Taylor J, Pagliari C. Comprehensive scoping review of health research using social media data. BMJ Open 2018;8(12):e022931
    CrossRef
  18. Carter A, Liddle J, Hall W, Chenery H. Mobile Phones in Research and Treatment: Ethical Guidelines and Future Directions. JMIR mHealth and uHealth 2015;3(4):e95
    CrossRef
  19. 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
  20. 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
  21. Harvey S, Hyndman B. An Investigation Into the Reasons Physical Education Professionals Use Twitter. Journal of Teaching in Physical Education 2018;37(4):383
    CrossRef
  22. Yarris LM, Chan TM, Gottlieb M, Juve AM. Finding Your People in the Digital Age: Virtual Communities of Practice to Promote Education Scholarship. Journal of Graduate Medical Education 2019;11(1):1
    CrossRef
  23. Harvey S, Pill S. Exploring physical education teachers ‘everyday understandings’ of physical literacy. Sport, Education and Society 2019;24(8):841
    CrossRef
  24. Taylor J, Pagliari C. Mining social media data: How are research sponsors and researchers addressing the ethical challenges?. Research Ethics 2018;14(2):1
    CrossRef
  25. Pich C, Harvey J, Armannsdottir G, Poorrezaei M, Branco-Illodo I, Kincaid A. Marketing Brexit: An exploratory study of young voter engagement in relation to the EU referendum. International Journal of Market Research 2018;60(6):589
    CrossRef
  26. Conway M, O’Connor D. Social media, big data, and mental health: current advances and ethical implications. Current Opinion in Psychology 2016;9:77
    CrossRef
  27. Skaik R, Inkpen D. Using Social Media for Mental Health Surveillance. ACM Computing Surveys 2021;53(6):1
    CrossRef
  28. Ford E, Shepherd S, Jones K, Hassan L. Toward an Ethical Framework for the Text Mining of Social Media for Health Research: A Systematic Review. Frontiers in Digital Health 2021;2
    CrossRef
  29. Alanazi E, Alashaikh A, Alqurashi S, Alanazi A. Identifying and Ranking Common COVID-19 Symptoms From Tweets in Arabic: Content Analysis. Journal of Medical Internet Research 2020;22(11):e21329
    CrossRef
  30. Ríssola EA, Losada DE, Crestani F. A Survey of Computational Methods for Online Mental State Assessment on Social Media. ACM Transactions on Computing for Healthcare 2021;2(2):1
    CrossRef
  31. Liu S, Perdew M, Lithopoulos A, Rhodes RE. The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study. Journal of Medical Internet Research 2021;23(4):e20954
    CrossRef
  32. Leonelli S, Lovell R, Wheeler BW, Fleming L, Williams H. From FAIR data to fair data use: Methodological data fairness in health-related social media research. Big Data & Society 2021;8(1):205395172110103
    CrossRef
  33. . Big Data, Algorithmic Governmentality and the Regulation of Pandemic Risk. European Journal of Risk Regulation 2019;10(1):94
    CrossRef
  34. 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
    CrossRef
  35. Schuman DL, Highfill C, Johnson A, Henderson S, Ognyanova P. Scoping Review: Ethical Considerations in Online Ethnographic Research With Military Populations. Journal of Empirical Research on Human Research Ethics 2021;16(4):374
    CrossRef
  36. W. Bogen K, M. Orchowski L, E. Ullman S. Online Disclosure of Sexual Victimization and Social Reactions: What Do We Know?. Women & Therapy 2021;44(3-4):358
    CrossRef
  37. Liu X, Kar B, Montiel Ishino FA, Onega T, Williams F. The Associations Between Racially/Ethnically Stratified COVID-19 Tweets and COVID-19 Cases and Deaths: Cross-sectional Study. JMIR Formative Research 2022;6(5):e30371
    CrossRef
  38. Chin H, Lima G, Shin M, Zhunis A, Cha C, Choi J, Cha M. User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e40922
    CrossRef
  39. Di Cara NH, Maggio V, Davis OSP, Haworth CMA. Methodologies for Monitoring Mental Health on Twitter: Systematic Review. Journal of Medical Internet Research 2023;25:e42734
    CrossRef
  40. 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
    CrossRef
  41. Brassel S, Brunner M, Campbell A, Power E, Togher L. Exploring Discussions About Virtual Reality on Twitter to Inform Brain Injury Rehabilitation: Content and Network Analysis. Journal of Medical Internet Research 2024;26:e45168
    CrossRef
  42. DuBois M, Houlihan K, Raab B, Pryor A, Kellman M, Brinker M, Wellen B, Capriotti M, Conelea C. Quantifying tics: Best practices and design considerations for video-based tic coding in research. Behavior Research Methods 2024;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3617):

  1. Mamiya H, Shaban-Nejad A, Buckeridge DL. Public Health Intelligence and the Internet. 2017. Chapter 8:129
    CrossRef
  2. Valdez R, Keim-Malpass J. Social Web and Health Research. 2019. Chapter 13:259
    CrossRef
  3. Mondal S, Rehena Z. Internet of Things Based Smart Healthcare. 2022. Chapter 14:307
    CrossRef
  4. Wongkoblap A, Vadillo MA, Curcin V. Mental Health in a Digital World. 2022. :109
    CrossRef
  5. Saxena C, Garg M, Ansari G. Neural Information Processing. 2023. Chapter 15:172
    CrossRef