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

Motivations for Contributing to Health-Related Articles on Wikipedia: An Interview Study

Motivations for Contributing to Health-Related Articles on Wikipedia: An Interview Study

Motivations for Contributing to Health-Related Articles on Wikipedia: An Interview Study

Authors of this article:

Nuša Farič 1 Author Orcid Image ;   Henry WW Potts 1 Author Orcid Image

Journals

  1. Benetoli A, Chen T, Schaefer M, Chaar B, Aslani P. Professional Use of Social Media by Pharmacists: A Qualitative Study. Journal of Medical Internet Research 2016;18(9):e258 View
  2. Oroszlányová M, Teixeira Lopes C, Nunes S, Ribeiro C. Predicting the quality of health web documents using their characteristics. Online Information Review 2018;42(7):1024 View
  3. Smith D, Triberti S. Situating Wikipedia as a health information resource in various contexts: A scoping review. PLOS ONE 2020;15(2):e0228786 View
  4. Tinati R, Luczak-Roesch M. Wikipedia: a complex social machine by Ramine Tinati and Markus Luczak-Roesch with Martin Vesely as coordinator. ACM SIGWEB Newsletter 2017;(Winter):1 View
  5. Dang Y, Guo S, Guo X, Vogel D. Privacy Protection in Online Health Communities: Natural Experimental Empirical Study. Journal of Medical Internet Research 2020;22(5):e16246 View
  6. Shafee T, Masukume G, Kipersztok L, Das D, Häggström M, Heilman J. Evolution of Wikipedia’s medical content: past, present and future. Journal of Epidemiology and Community Health 2017:jech-2016-208601 View
  7. Heilman J, West A. Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language. Journal of Medical Internet Research 2015;17(3):e62 View
  8. Yenikent S, Holtz P, Kimmerle J. The Impact of Topic Characteristics and Threat on Willingness to Engage with Wikipedia Articles: Insights from Laboratory Experiments. Frontiers in Psychology 2017;8 View
  9. Hammer M, Kohlberg G. Get the Diagnosis: an evidence-based medicine collaborative Wiki for diagnostic test accuracy. Postgraduate Medical Journal 2017;93(1098):179 View
  10. Koo M, Lin S. The image of nursing: A glimpse of the Internet. Japan Journal of Nursing Science 2016;13(4):496 View
  11. Lagunes-García G, Rodríguez-González A, Prieto-Santamaría L, García del Valle E, Zanin M, Menasalvas-Ruiz E. DISNET: a framework for extracting phenotypic disease information from public sources. PeerJ 2020;8:e8580 View
  12. Cordoş A, Bolboacă S, Drugan C. Social Media Usage for Patients and Healthcare Consumers: A Literature Review. Publications 2017;5(2):9 View
  13. Sun F, Yang F, Zheng S. Evaluation of the Liver Disease Information in Baidu Encyclopedia and Wikipedia: Longitudinal Study. Journal of Medical Internet Research 2021;23(1):e17680 View
  14. Handler S, Eckhardt S, Takashima Y, Jackson A, Truong C, Yazdany T. Readability and quality of Wikipedia articles on pelvic floor disorders. International Urogynecology Journal 2021 View

Books/Policy Documents

  1. Shadbolt N, O’Hara K, De Roure D, Hall W. The Theory and Practice of Social Machines. View