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

Digital Health Reviews (1318) Mass Media/Social Media Communication and Campaigns (466) Infodemiology and Infoveillance (1365) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1660) Public (e)Health, Digital Epidemiology and Public Health Informatics (743) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1049)

Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40380, first published .
Ethical and Methodological Considerations of Twitter Data for Public Health Research: Systematic Review

Ethical and Methodological Considerations of Twitter Data for Public Health Research: Systematic Review

Ethical and Methodological Considerations of Twitter Data for Public Health Research: Systematic Review

Authors of this article:

Courtney Takats1 Author Orcid Image ;   Amy Kwan1 Author Orcid Image ;   Rachel Wormer1 Author Orcid Image ;   Dari Goldman1 Author Orcid Image ;   Heidi E Jones1 Author Orcid Image ;   Diana Romero1 Author Orcid Image
Article Authors Cited by (11) Tweetations (6) Metrics

Journals

  1. Lathan H, Kwan A, Takats C, Tanner J, Wormer R, Romero D, Jones H. Ethical considerations and methodological uses of Facebook data in public health research: A systematic review. Social Science & Medicine 2023;322:115807 View
  2. Tanner J, Takats C, Lathan H, Kwan A, Wormer R, Romero D, Jones H. Approaches to Research Ethics in Health Research on YouTube: Systematic Review. Journal of Medical Internet Research 2023;25:e43060 View
  3. Laison E, Hamza Ibrahim M, Boligarla S, Li J, Mahadevan R, Ng A, Muthuramalingam V, Lee W, Yin Y, Nasri B. Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis. Journal of Medical Internet Research 2023;25:e47014 View
  4. Agusdinata D, Eakin H, Darnall N, Jiang B, Romero H. Advancing recognition justice in telecoupled critical mineral supply chains: The promise of social media. Energy Research & Social Science 2023;104:103264 View
  5. Isip Tan I, Cleofas J, Solano G, Pillejera J, Catapang J. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. JMIR Formative Research 2023;7:e41134 View
  6. Bacsu J, Andrew M, Azizi M, Berger C, Cammer A, Chasteen A, Fraser S, Grewal K, Green S, Gowda-Sookochoff R, Mah J, McGilton K, Middleton L, Nanson K, Spiteri R, Tang Y, O’Connell M, Roberts T. Using Twitter to Understand COVID-19 Vaccine-Related Ageism During the Pandemic. The Gerontologist 2024;64(2) View
  7. Zhang Y, Fu J, Lai J, Deng S, Guo Z, Zhong C, Tang J, Cao W, Wu Y. Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research 2024;26:e51496 View
  8. Karami A, Qiao Z, Zhang X, Kharrazi H, Bozorgi P, Bozorgi A. Health Use Cases of AI Chatbots: Identification and Analysis of ChatGPT Prompts in Social Media Discourses. Big Data and Cognitive Computing 2024;8(10):130 View
  9. Giancotti M, Lopreite M, Mauro M, Puliga M. Innovating health prevention models in detecting infectious disease outbreaks through social media data: an umbrella review of the evidence. Frontiers in Public Health 2024;12 View
  10. Qu C. Female versus Viral: Understanding the UK gender health inequalities during the Covid-19 pandemic using e-archives. Social Science & Medicine 2024:117589 View

Books/Policy Documents

  1. Denecke K. Sentiment Analysis in the Medical Domain. View