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

Consumer & Patient Education and Shared-Decision Making (641) Quality/Credibility of eHealth Information and Trust Issues (492) Information Retrieval (271)
Impact of Web Searching and Social Feedback on Consumer Decision Making: A Prospective Online Experiment

Impact of Web Searching and Social Feedback on Consumer Decision Making: A Prospective Online Experiment

Impact of Web Searching and Social Feedback on Consumer Decision Making: A Prospective Online Experiment

Authors of this article:

Annie Lau ;   Enrico Coiera
Article Authors Cited by (32) Tweetations (1) Metrics

Journals

  1. Giudice K. Crowdsourcing credibility: The impact of audience feedback on Web page credibility. Proceedings of the American Society for Information Science and Technology 2010;47(1):1 View
  2. Kell B. Young people's experiences of online health information. British Journal of School Nursing 2011;6(10):489 View
  3. Lau A, Kwok T, Coiera E. How Online Crowds Influence the Way Individual Consumers Answer Health Questions. Applied Clinical Informatics 2011;02(02):177 View
  4. Luo J, Zhang G, Wentz S, Cui L, Xu R. SimQ: Real-Time Retrieval of Similar Consumer Health Questions. Journal of Medical Internet Research 2015;17(2):e43 View
  5. Coiera E, Vickland V. Is Relevance Relevant? User Relevance Ratings May Not Predict the Impact of Internet Search on Decision Outcomes. Journal of the American Medical Informatics Association 2008;15(4):542 View
  6. Gorrell G, Ford N, Madden A, Holdridge P, Eaglestone B. Countering method bias in questionnaire‐based user studies. Journal of Documentation 2011;67(3):507 View
  7. Novillo-Ortiz D, Agra Y, Fernández-Maíllo M, del Peso P, Terol E. Acciones estratégicas en seguridad del paciente para el Sistema Nacional de Salud. Recursos on-line en formación y acceso al conocimiento científico. Medicina Clínica 2008;131:79 View
  8. Clauson K, Polen H, Boulos M, Dzenowagis J. Scope, Completeness, and Accuracy of Drug Information in Wikipedia. Annals of Pharmacotherapy 2008;42(12):1814 View
  9. Bulled N. "You Can Find Anything Online": Biocommunicability of Cyber-Health Information and its Impact on How the NET Generation Accesses Health Care. Human Organization 2011;70(2):153 View
  10. Stevenson M, Guo Y. Disambiguation in the biomedical domain: The role of ambiguity type. Journal of Biomedical Informatics 2010;43(6):972 View
  11. Gabarron E, Serrano J, Wynn R, Lau A. Tweet Content Related to Sexually Transmitted Diseases: No Joking Matter. Journal of Medical Internet Research 2014;16(10):e228 View
  12. David Johnson J. Health-related information seeking: Is it worth it?. Information Processing & Management 2014;50(5):708 View
  13. Chuang K, Yang C. Interaction Patterns of Nurturant Support Exchanged in Online Health Social Networking. Journal of Medical Internet Research 2012;14(3):e54 View
  14. Tejada-Llacsa P, Díaz-Sánchez P, Villagaray-Pacheco N, Meregildo-Silverio M, Cabello-León E. What Messages About Osteoporosis Are Offered in Spanish Videos on YouTube?. JCR: Journal of Clinical Rheumatology 2020;26(7S):S199 View
  15. Wongchaisuwat P, Klabjan D, Jonnalagadda S. A Semi-Supervised Learning Approach to Enhance Health Care Community–Based Question Answering: A Case Study in Alcoholism. JMIR Medical Informatics 2016;4(3):e24 View
  16. Stevenson M, Agirre E, Soroa A. Exploiting domain information for Word Sense Disambiguation of medical documents. Journal of the American Medical Informatics Association 2012;19(2):235 View
  17. Plaza L, Stevenson M, Díaz A. Resolving ambiguity in biomedical text to improve summarization. Information Processing & Management 2012;48(4):755 View
  18. Naderi H, Madani S, Kiani B, Etminani K. Similarity of medical concepts in question and answering of health communities. Health Informatics Journal 2020;26(2):1443 View
  19. Stevenson M, Guo Y. Disambiguation of ambiguous biomedical terms using examples generated from the UMLS Metathesaurus. Journal of Biomedical Informatics 2010;43(5):762 View
  20. Gabarron E, Fernandez-Luque L, Armayones M, Lau A. Identifying Measures Used for Assessing Quality of YouTube Videos with Patient Health Information: A Review of Current Literature. Interactive Journal of Medical Research 2013;2(1):e6 View
  21. Dinçel Y, Can E, Amiry M, Genç E, Çağlar S, Morina M, Kaval B. What Information is Provided in Turkish Videos About Osteoporosis and Does YouTube Provide Reliable and High-quality Information: A Systematic Analysis of YouTube Videos. Turkish Journal of Osteoporosis 2022;28(2):118 View
  22. Kim I, Begay C, Ma H, Orozco F, Rogers C, Valente T, Unger J. E-Cigarette–Related Health Beliefs Expressed on Twitter Within the U.S.. AJPM Focus 2023;2(2):100067 View
  23. White Z. Re-envisioning Digital Equity and Connection Literacy for Older Adults. North Carolina Medical Journal 2023;84(2) View
  24. Rammohan R, Magam S, Joy M, Lau W, Tadikonda A, Natt D, Magam S, Pannikodu L, Desai J, Jiyani R, Sheikh S, Bunting S, Anand P, Subramani K, Khan N, Mustacchia P. A Double-Edged Sword: Quality and Credibility of Colon Cancer Screening Content on YouTube. Cureus 2024 View

Books/Policy Documents

  1. Lau A, Kwok T. Online Communities and Social Computing. View
  2. Col N, Correa-de-Araujo R. Clinical Decision Support. View
  3. Azer S. Educational Technologies in Medical and Health Sciences Education. View
  4. Hersh W. Information Retrieval: A Biomedical and Health Perspective. View
  5. Anderson P. Pharmacy Informatics. View
  6. Cupar D, Juric M. Information Literacy in Everyday Life. View