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

Ethics, Privacy, and Legal Issues (617) Infodemiology and Infoveillance (1558) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (215) Pharmacovigilance (171)

Published on in Vol 21, No 8 (2019): August

Understanding Public Attitudes Toward Researchers Using Social Media for Detecting and Monitoring Adverse Events Data: Multi Methods Study

Understanding Public Attitudes Toward Researchers Using Social Media for Detecting and Monitoring Adverse Events Data: Multi Methods Study

Understanding Public Attitudes Toward Researchers Using Social Media for Detecting and Monitoring Adverse Events Data: Multi Methods Study

Authors of this article:

Su Golder1 Author Orcid Image ;   Arabella Scantlebury1 Author Orcid Image ;   Helen Christmas2 Author Orcid Image
Article Authors Cited by (14) Tweetations (14) Metrics

Journals

  1. Hochheiser H, Valdez R. Human-Computer Interaction, Ethics, and Biomedical Informatics. Yearbook of Medical Informatics 2020;29(01):093 View
  2. Rivera-Romero O, Konstantinidis S, Denecke K, Gabarrón E, Petersen C, Househ M, Merolli M, Mayer M. Ethical Considerations for Participatory Health through Social Media: Healthcare Workforce and Policy Maker Perspectives. Yearbook of Medical Informatics 2020;29(01):071 View
  3. Staccini P, Lau A. Social Media, Research, and Ethics: Does Participant Willingness Matter?. Yearbook of Medical Informatics 2020;29(01):176 View
  4. Audeh B, Bellet F, Beyens M, Lillo-Le Louët A, Bousquet C. Use of Social Media for Pharmacovigilance Activities: Key Findings and Recommendations from the Vigi4Med Project. Drug Safety 2020;43(9):835 View
  5. Bulcock A, Hassan L, Giles S, Sanders C, Nenadic G, Campbell S, Dixon W. Public Perspectives of Using Social Media Data to Improve Adverse Drug Reaction Reporting: A Mixed-Methods Study. Drug Safety 2021;44(5):553 View
  6. Walsh J, Cave J, Griffiths F. Spontaneously Generated Online Patient Experience of Modafinil: A Qualitative and NLP Analysis. Frontiers in Digital Health 2021;3 View
  7. Yang Y. Application of Multimedia Technology in Vocal Music Digital Teaching Reform. Journal of Physics: Conference Series 2020;1648:042005 View
  8. O'Connor K, Golder S, Weissenbacher D, Klein A, Magge A, Gonzalez-Hernandez G. Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review. Journal of Medical Internet Research 2024;26:e47923 View
  9. Fernandez A, García M, Perez Viejo J, Segado Sánchez‐Cabezudo S. Social perceptions and representations of unaccompanied foreign minors on social media. International Journal of Social Welfare 2025;34(2) View
  10. Sheng Y, Oteng D, Rodrigo N, Chang R, Han J, Bi P, Zuo J. Deep learning insights on the banning of engineered stone: decoding public sentiments in Australia. Journal of Building Design and Environment 2025 View
  11. Dong F, Guo W, Liu J, Patterson T, Hong H. Pharmacovigilance in the digital age: gaining insight from social media data. Experimental Biology and Medicine 2025;250 View

Books/Policy Documents

  1. Mannheimer S. Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research. View
  2. Same'e S, Anmary A. Reviving and Re-Writing Ethics in Social Research For Commoning the Community. View

Conference Proceedings

  1. Febriana T, Budiarto A. 1ST INTERNATIONAL CONFERENCE ON ACHIEVING THE SUSTAINABLE DEVELOPMENT GOALS. Evaluating the traffic condition in Jakarta during COVID-19 pandemic: Social media text mining View