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

Ethics, Privacy, and Legal Issues (457) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Infodemiology and Infoveillance (1274)

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

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

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

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

Authors of this article:

Mike Conway1 Author Orcid Image
Article Authors Cited by (56) Tweetations (103) Metrics

Journals

  1. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
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  3. O’Rourke P, Carrithers J, Patrick-Lake B, Rice T, Corsmo J, Hart R, Drezner M, Lantos J. Harmonization and streamlining of research oversight for pragmatic clinical trials. Clinical Trials 2015;12(5):449 View
  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) View
  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 View
  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 View
  7. Hswen Y, Naslund J, Brownstein J, Hawkins J. Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study. JMIR Mental Health 2018;5(4):e11483 View
  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 View
  9. Ayers J, Caputi T, Nebeker C, Dredze M. Don’t quote me: reverse identification of research participants in social media studies. npj Digital Medicine 2018;1(1) View
  10. Leadbeater B, Dishion T, Sandler I, Bradshaw C, Dodge K, Gottfredson D, Graham P, Lindstrom Johnson S, Maldonado-Molina M, Mauricio A, Smith E. Ethical Challenges in Promoting the Implementation of Preventive Interventions: Report of the SPR Task Force. Prevention Science 2018;19(7):853 View
  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 View
  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 View
  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 View
  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 View
  15. Wong C, Sap M, Schwartz A, Town R, Baker T, Ungar L, Merchant R. Twitter Sentiment Predicts Affordable Care Act Marketplace Enrollment. Journal of Medical Internet Research 2015;17(2):e51 View
  16. Sewalk K, Tuli G, Hswen Y, Brownstein J, Hawkins J. Using Twitter to Examine Web-Based Patient Experience Sentiments in the United States: Longitudinal Study. Journal of Medical Internet Research 2018;20(10):e10043 View
  17. Taylor J, Pagliari C. Comprehensive scoping review of health research using social media data. BMJ Open 2018;8(12):e022931 View
  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 View
  19. Wongkoblap A, Vadillo M, Curcin V. Researching Mental Health Disorders in the Era of Social Media: Systematic Review. Journal of Medical Internet Research 2017;19(6):e228 View
  20. Chancellor S, Baumer E, De Choudhury M. Who is the "Human" in Human-Centered Machine Learning. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
  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 View
  22. Yarris L, Chan T, Gottlieb M, Juve A. Finding Your People in the Digital Age: Virtual Communities of Practice to Promote Education Scholarship. Journal of Graduate Medical Education 2019;11(1):1 View
  23. Harvey S, Pill S. Exploring physical education teachers ‘everyday understandings’ of physical literacy. Sport, Education and Society 2019;24(8):841 View
  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 View
  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 View
  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 View
  27. Skaik R, Inkpen D. Using Social Media for Mental Health Surveillance. ACM Computing Surveys 2021;53(6):1 View
  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 View
  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 View
  30. Ríssola E, Losada D, 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 View
  31. Liu S, Perdew M, Lithopoulos A, Rhodes R. 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 View
  32. Leonelli S, Lovell R, Wheeler B, 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 View
  33. ROBERTS S. Big Data, Algorithmic Governmentality and the Regulation of Pandemic Risk. European Journal of Risk Regulation 2019;10(1):94 View
  34. Hu M, Benson R, Chen A, 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 View
  35. Schuman D, 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 View
  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 View
  37. Liu X, Kar B, Montiel Ishino F, 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 View
  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 View
  39. Di Cara N, Maggio V, Davis O, Haworth C. Methodologies for Monitoring Mental Health on Twitter: Systematic Review. Journal of Medical Internet Research 2023;25:e42734 View
  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 View
  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 View
  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;56(4):4073 View
  43. Suárez-Llevat C, Jiménez-Gómez B, Ruiz-Núñez C, Fernández-Quijano I, Rodriguez-González E, de la Torre-Domingo C, Herrera-Peco I. Social networks use in the context of Schizophrenia: a review of the literature. Frontiers in Psychiatry 2024;15 View
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Books/Policy Documents

  1. Mamiya H, Shaban-Nejad A, Buckeridge D. Public Health Intelligence and the Internet. View
  2. Valdez R, Keim-Malpass J. Social Web and Health Research. View
  3. Mondal S, Rehena Z. Internet of Things Based Smart Healthcare. View
  4. Wongkoblap A, Vadillo M, Curcin V. Mental Health in a Digital World. View
  5. Saxena C, Garg M, Ansari G. Neural Information Processing. View