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

Information Retrieval (287) Validity, Reliability, and Bias (93)

Published on in Vol 16, No 3 (2014): March

Confirmation Bias in Web-Based Search: A Randomized Online Study on the Effects of Expert Information and Social Tags on Information Search and Evaluation

Confirmation Bias in Web-Based Search: A Randomized Online Study on the Effects of Expert Information and Social Tags on Information Search and Evaluation

Confirmation Bias in Web-Based Search: A Randomized Online Study on the Effects of Expert Information and Social Tags on Information Search and Evaluation

Authors of this article:

Stefan Schweiger1 ;   Aileen Oeberst1 ;   Ulrike Cress1, 2
Article Authors Cited by (23) Tweetations (10) Metrics

Journals

  1. Schweiger S, Cress U. How Confidence in Prior Attitudes, Social Tag Popularity, and Source Credibility Shape Confirmation Bias Toward Antidepressants and Psychotherapy in a Representative German Sample: Randomized Controlled Web-Based Study. Journal of Medical Internet Research 2019;21(4):e11081 View
  2. Spievak E, Hayes-Bohanan P. Creating Order: The Role of Heuristics in Website Selection. Internet Reference Services Quarterly 2016;21(1-2):23 View
  3. Kranzbühler A, Kleijnen M, Verlegh P, Teerling M. When Similarity Beats Expertise—Differential Effects of Patient and Expert Ratings on Physician Choice: Field and Experimental Study. Journal of Medical Internet Research 2019;21(6):e12454 View
  4. Miliani M, Quintaliani G. Echo chambers, confirmation bias and polarization of ideas: how scientific and non-scientific knowledge spreads around the Web 2.0. Giornale di Tecniche Nefrologiche e Dialitiche 2017;29(4):274 View
  5. Maramba I, Davey A, Elliott M, Roberts M, Roland M, Brown F, Burt J, Boiko O, Campbell J. Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care. JMIR Medical Informatics 2015;3(2):e20 View
  6. Petrucco C, Ferrante M. Complementary Information Literacy Training Practices in University Teaching and Academic Libraries. International Journal of Digital Literacy and Digital Competence 2018;9(3):27 View
  7. Schweiger S, Cress U, Jong J. Attitude confidence and source credibility in information foraging with social tags. PLOS ONE 2019;14(1):e0210423 View
  8. Behimehr S, Jamali H. Relations between Cognitive Biases and Some Concepts of Information Behavior. Data and Information Management 2020;4(2):109 View
  9. Shore J. Intended and Unintended Consequence in the Digital Age of Psychiatry. Psychiatric Clinics of North America 2019;42(4):659 View
  10. Kosic A, Lindholm P, Järvholm K, Hedman-Lagerlöf E, Axelsson E. Three decades of increase in health anxiety: Systematic review and meta-analysis of birth cohort changes in university student samples from 1985 to 2017. Journal of Anxiety Disorders 2020;71:102208 View
  11. Seitlinger P, Ley T, Kowald D, Theiler D, Hasani-Mavriqi I, Dennerlein S, Lex E, Albert D. Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach. International Journal of Human–Computer Interaction 2018;34(6):557 View
  12. Koch S, Epp A, Lohmann M, Böl G. Pesticide Residues in Food: Attitudes, Beliefs, and Misconceptions among Conventional and Organic Consumers. Journal of Food Protection 2017;80(12):2083 View
  13. Wang Y, Jaidka K. Confirmation Bias in Seeking Climate Information: Employing Relative Search Volume to Predict Partisan Climate Opinions. Social Science Computer Review 2024;42(1):4 View
  14. Suzuki M, Yamamoto Y. Characterizing the Influence of Confirmation Bias on Web Search Behavior. Frontiers in Psychology 2021;12 View
  15. Frøytlog J, Rasmussen I, Ludvigsen S. How microblogging affords conditions for realising student voices about the body and sexuality in a science education lesson. Cultural Studies of Science Education 2022;17(3):661 View
  16. Wedderhoff O, Chasiotis A, Rosman T. When freedom of choice leads to bias: How threat fosters selective exposure to health information. Frontiers in Psychology 2022;13 View
  17. Duarte A, Spiazzi B, Merello E, Amazarray C, Sulzbach de Andrade L, Socal M, Trujillo A, Brietzke E, Colpani V, Gerchman F. Misinformation in nutrition through the case of coconut oil: An online before-and-after study. Nutrition, Metabolism and Cardiovascular Diseases 2022;32(6):1375 View
  18. Pan M, Ryan A. Investigating confirmation bias in transportation: An analysis of perceived health risk on public transit during the pandemic. Journal of Transport & Health 2022;26:101485 View
  19. Spiazzi B, Duarte A, Zingano C, Teixeira P, Amazarray C, Merello E, Wayerbacher L, Farenzena L, Correia P, Bertoluci M, Gerchman F, Colpani V. Coconut oil: an overview of cardiometabolic effects and the public health burden of misinformation. Archives of Endocrinology and Metabolism 2023;67(6) View
  20. Bakaryan T, Gu Y, Hovakimyan N, Abdelzaher T, Lebiere C. Multi-population opinion dynamics model. Nonlinear Dynamics 2024 View

Books/Policy Documents

  1. Kimmerle J, Bientzle M, Cress U, Flemming D, Greving H, Grapendorf J, Sassenrath C, Sassenberg K. Informational Environments. View