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

Information Retrieval (271) Crowdsourcing and Mechanical Turks (91) Vaccination and Immunization in the Digital Age (346)

Published on in Vol 16, No 4 (2014): April

The Impact of Search Engine Selection and Sorting Criteria on Vaccination Beliefs and Attitudes: Two Experiments Manipulating Google Output

The Impact of Search Engine Selection and Sorting Criteria on Vaccination Beliefs and Attitudes: Two Experiments Manipulating Google Output

The Impact of Search Engine Selection and Sorting Criteria on Vaccination Beliefs and Attitudes: Two Experiments Manipulating Google Output

Authors of this article:

Ahmed Allam1 Author Orcid Image ;   Peter Johannes Schulz1 ;   Kent Nakamoto2
Article Authors Cited by (86) Tweetations (29) Metrics

Journals

  1. Allam A, Sak G, Diviani N, Schulz P. Do quality markers for health websites affect the perception of vaccination webpages?. Computers in Human Behavior 2017;67:273 View
  2. Bianchini C, Truccolo I, Bidoli E, Mazzocut M. Avoiding misleading information: A study of complementary medicine online information for cancer patients. Library & Information Science Research 2019;41(1):67 View
  3. Haas A, Unkel J. Ranking versus reputation: perception and effects of search result credibility. Behaviour & Information Technology 2017;36(12):1285 View
  4. Khosrowjerdi M. National culture and trust in online health information. Journal of Librarianship and Information Science 2020;52(2):509 View
  5. Huhta A, Hirvonen N, Huotari M. Health Literacy in Web-Based Health Information Environments: Systematic Review of Concepts, Definitions, and Operationalization for Measurement. Journal of Medical Internet Research 2018;20(12):e10273 View
  6. Sak G, Diviani N, Allam A, Schulz P. Comparing the quality of pro- and anti-vaccination online information: a content analysis of vaccination-related webpages. BMC Public Health 2015;16(1) View
  7. Penney J. Internet surveillance, regulation, and chilling effects online: a comparative case study. Internet Policy Review 2017;6(2) View
  8. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  9. Bickmore T, Utami D, Matsuyama R, Paasche-Orlow M. Improving Access to Online Health Information With Conversational Agents: A Randomized Controlled Experiment. Journal of Medical Internet Research 2016;18(1):e1 View
  10. Aguirre P, Strieder A, Lotto M, Oliveira T, Rios D, Cruvinel A, Cruvinel T. Are the Internet users concerned about molar incisor hypomineralization? An infoveillance study. International Journal of Paediatric Dentistry 2020;30(1):27 View
  11. Shore J. Intended and Unintended Consequence in the Digital Age of Psychiatry. Psychiatric Clinics of North America 2019;42(4):659 View
  12. Cassidy J, Baker J. Orthopaedic Patient Information on the World Wide Web. Journal of Bone and Joint Surgery 2016;98(4):325 View
  13. Poon J, Gjorgjievski M, Moga I, Ristevski B. Quality and Accuracy of Information Available on Websites for Distracted Driving: Qualitative Analysis. Interactive Journal of Medical Research 2019;8(4):e16154 View
  14. Doğramacı E, Rossi-Fedele G. The quality of information on the Internet on orthodontic retainer wear: a cross-sectional study. Journal of Orthodontics 2016;43(1):47 View
  15. Zepecki A, Guendelman S, DeNero J, Prata N. Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework. JMIR Research Protocols 2020;9(7):e16543 View
  16. Ward J, Peretti-Watel P, Larson H, Raude J, Verger P. Vaccine-criticism on the internet: New insights based on French-speaking websites. Vaccine 2015;33(8):1063 View
  17. Branscum P, Patricio-Agosto N. How Children Search for Health Information Online: An Observational Study. Journal of Nutrition Education and Behavior 2020;52(5):522 View
  18. Nault D, Beccia A, Ito H, Kashdan S, Senders A. Health Information Discrepancies Between Internet Media and Scientific Papers Reporting on Omega-3 Supplement Research: Comparative Analysis. Interactive Journal of Medical Research 2018;7(2):e15 View
  19. Ludolph R, Allam A, Schulz P. Manipulating Google’s Knowledge Graph Box to Counter Biased Information Processing During an Online Search on Vaccination: Application of a Technological Debiasing Strategy. Journal of Medical Internet Research 2016;18(6):e137 View
  20. Gao R, Shah C. Toward creating a fairer ranking in search engine results. Information Processing & Management 2020;57(1):102138 View
  21. Wong K, Mohan R, Yi P, Hansen E. Evaluating patient education material regarding unicompartmental knee arthroplasty. The Knee 2016;23(1):157 View
  22. Ward J, Peretti-Watel P, Verger P. Vaccine criticism on the internet: Propositions for future research. Human Vaccines & Immunotherapeutics 2016:1 View
  23. Kinkead L, Allam A, Krauthammer M. AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks. BMC Medical Informatics and Decision Making 2020;20(1) View
  24. Epstein R, Robertson R, Lazer D, Wilson C. Suppressing the Search Engine Manipulation Effect (SEME). Proceedings of the ACM on Human-Computer Interaction 2017;1(CSCW):1 View
  25. Schippinger M, Ruckenstuhl P, Friesenbichler J, Leithner A. Osteosarkom – Vertrauenswürdigkeit und Qualität der Informationen im Internet. Wiener Medizinische Wochenschrift 2014;164(17-18):353 View
  26. Chiou L, Tucker C. Fake News and Advertising on Social Media: A Study of the Anti-Vaccination Movement. SSRN Electronic Journal 2018 View
  27. Maki A, Evans R, Ghezzi P. Bad News: Analysis of the Quality of Information on Influenza Prevention Returned by Google in English and Italian. Frontiers in Immunology 2015;6 View
  28. Fu L, Zook K, Spoehr-Labutta Z, Hu P, Joseph J. Search Engine Ranking, Quality, and Content of Web Pages That Are Critical Versus Noncritical of Human Papillomavirus Vaccine. Journal of Adolescent Health 2016;58(1):33 View
  29. Barbara A, Dobbins M, Haynes R, Iorio A, Lavis J, Raina P, Levinson A. The McMaster Optimal Aging Portal: Usability Evaluation of a Unique Evidence-Based Health Information Website. JMIR Human Factors 2016;3(1):e14 View
  30. Hanna K, Brennan D, Sambrook P, Armfield J. Third Molars on the Internet: A Guide for Assessing Information Quality and Readability. interactive Journal of Medical Research 2015;4(4):e19 View
  31. Koschack J, Weibezahl L, Friede T, Himmel W, Makedonski P, Grabowski J. Scientific Versus Experiential Evidence: Discourse Analysis of the Chronic Cerebrospinal Venous Insufficiency Debate in a Multiple Sclerosis Forum. Journal of Medical Internet Research 2015;17(7):e159 View
  32. Anand T, Nitpolprasert C, Phanuphak N. Online-to-offline models in HIV service delivery. Current Opinion in HIV and AIDS 2017;12(5):447 View
  33. Clarke R, Paterson P, Sirota M. Determinants of satisfaction with information and additional information-seeking behaviour for the pertussis vaccination given during pregnancy. Vaccine 2019;37(20):2712 View
  34. Ng M, Smith R, Wickramesinghe N, Smart P, Lawrentschuk N. Health on the Net: Do Website Searches Return Reliable Health Information on Hemorrhoids and Their Treatment?. International Surgery 2017;102(5-6):216 View
  35. Rossi-Fedele G, Musu D, Cotti E, Doğramacı E. Root Canal Treatment versus Single-Tooth Implant: A Systematic Review of Internet Content. Journal of Endodontics 2016;42(6):846 View
  36. Storr C, Sanftenberg L, Schelling J, Heininger U, Schneider A. Measles Status—Barriers to Vaccination and Strategies for Overcoming Them. Deutsches Ärzteblatt international 2018 View
  37. Oren E, Martinez L, Hensley R, Jain P, Ahmed T, Purnajo I, Nara A, Tsou M. Twitter Communication During an Outbreak of Hepatitis A in San Diego, 2016–2018. American Journal of Public Health 2020;110(S3):S348 View
  38. Küeper A, Merle R. Partners in Sickness and in Health? Relationship-Centered Veterinary Care and Self-Educated Pet Owners in Germany: A Structural Equation Model. Frontiers in Veterinary Science 2021;7 View
  39. Zenone M, Snyder J, Caulfield T. Crowdfunding Cannabidiol (CBD) for Cancer: Hype and Misinformation on GoFundMe. American Journal of Public Health 2020;110(S3):S294 View
  40. Germani F, Biller-Andorno N, Lavorgna L. The anti-vaccination infodemic on social media: A behavioral analysis. PLOS ONE 2021;16(3):e0247642 View
  41. Baines A, Ittefaq M, Abwao M. #Scamdemic, #Plandemic, or #Scaredemic: What Parler Social Media Platform Tells Us about COVID-19 Vaccine. Vaccines 2021;9(5):421 View
  42. Vrinten J, Van Royen K, Pabian S, De Backer C, Matthys C. Motivations for nutrition information-seeking behavior among Belgian adults: a qualitative study. BMC Public Health 2022;22(1) View
  43. Moussa O, Takeuchi K. Does searching online for vaccination information affect vaccination coverage? Evidence from Sub-Saharan African countries. Economics & Human Biology 2022;47:101181 View
  44. Belozerov A, Klimov V. Semantic Web Technologies: Issues and Possible Ways of Development. Procedia Computer Science 2022;213:617 View
  45. Abroms L, Yom-Tov E. The Role of Information Boxes in Search Engine Results for Symptom Searches: Analysis of Archival Data. JMIR Infodemiology 2022;2(2):e37286 View
  46. Urman A, Makhortykh M, Ulloa R. Auditing the representation of migrants in image web search results. Humanities and Social Sciences Communications 2022;9(1) View
  47. Kobayashi T, Taka F, Suzuki T, Richey S. Can “Googling” correct misbelief? Cognitive and affective consequences of online search. PLOS ONE 2021;16(9):e0256575 View
  48. Epstein R, Lee V, Mohr R, Zankich V, Saikia L. The Answer Bot Effect (ABE): A powerful new form of influence made possible by intelligent personal assistants and search engines. PLOS ONE 2022;17(6):e0268081 View
  49. Hinneburg J, Gasteiger-Klicpera B, Kasper J, Lühnen J, Maitz K, Martens T, Steckelberg A. Evaluating student’s ability to assess treatment claims: validating a German version of the Claim Evaluation Tools. BMC Public Health 2023;23(1) View
  50. Phillips B, Bauch C. Network structural metrics as early warning signals of widespread vaccine refusal in social-epidemiological networks. Journal of Theoretical Biology 2021;531:110881 View
  51. Oduwole E, Mahomed H, Laurenzi C, Larson H, Wiysonge C. Point-of-care vaccinators’ perceptions of vaccine hesitancy drivers: A qualitative study from the cape metropolitan district, South Africa. Vaccine 2021;39(39):5506 View
  52. Honora A, Wang K, Chih W. How does information overload about COVID-19 vaccines influence individuals’ vaccination intentions? The roles of cyberchondria, perceived risk, and vaccine skepticism. Computers in Human Behavior 2022;130:107176 View
  53. Hao Z, Lv H, Wang D, Wu X. High-performance chemical information database towards accelerating discovery of metal-organic frameworks for gas adsorption with machine learning. Chinese Journal of Chemical Physics 2021;34(4):436 View
  54. Chan Y, Tang Y, Teng L. A comparative analysis of digital health usage intentions towards the adoption of virtual reality in telerehabilitation. International Journal of Medical Informatics 2023;174:105042 View
  55. Rędzio A, Izydorczak K, Muniak P, Kulesza W, Doliński D. Is the COVID-19 Fake News game good news? Testing whether creating and disseminating fake news about vaccines in a computer game reduces people's belief in anti-vaccine arguments. Acta Psychologica 2023;236:103930 View
  56. Margetts H, John P. How rediscovering nodality can improve democratic governance in a digital world. Public Administration 2023 View
  57. Epstein R, Tyagi C, Wang H, Vellucci P. What would happen if twitter sent consequential messages to only a strategically important subset of users? A quantification of the Targeted Messaging Effect (TME). PLOS ONE 2023;18(7):e0284495 View
  58. Malik A, Ahmed N, Shafiq M, Elharake J, James E, Nyhan K, Paintsil E, Melchinger H, Team Y, Malik F, Omer S. Behavioral interventions for vaccination uptake: A systematic review and meta-analysis. Health Policy 2023;137:104894 View
  59. Epstein R, Li J. Can Biased Search Results Change People’s Opinions About Anything at All? A Close Replication of the Search Engine Manipulation Effect (SEME). SSRN Electronic Journal 2023 View
  60. Athey S, Bergstrom K, Hadad V, Jamison J, Özler B, Parisotto L, Sama J. Can personalized digital counseling improve consumer search for modern contraceptive methods?. Science Advances 2023;9(40) View
  61. Häußler H, Schultheiß S, Lewandowski D. Is googling risky? A study on risk perception and experiences of adverse consequences in web search. Journal of the Association for Information Science and Technology 2024;75(5):567 View
  62. Bauer C, Carterette B, Ferro N, Fuhr N, Beel J, Breuer T, Clarke C, Crescenzi A, Demartini G, Di Nunzio G, Dietz L, Faggioli G, Ferwerda B, Fröbe M, Hagen M, Hanbury A, Hauff C, Jannach D, Kando N, Kanoulas E, Knijnenburg B, Kruschwitz U, Li M, Maistro M, Michiels L, Papenmeier A, Potthast M, Rosso P, Said A, Schaer P, Seifert C, Spina D, Stein B, Tintarev N, Urbano J, Wachsmuth H, Willemsen M, Zobel J. Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. ACM SIGIR Forum 2023;57(1):1 View
  63. Epstein R, Lothringer M, Zankich V. How a Daily Regimen of Operant Conditioning Might Explain the Power of the Search Engine Manipulation Effect (SEME). Behavior and Social Issues 2024 View
  64. Hanson K, Degas A, Green D, Al-Hosri A, Vandrevala T. Online public health promotion at the local level: An evaluation of four local authority-led marketing campaigns. DIGITAL HEALTH 2024;10 View
  65. Epstein R, Li J, Saikia L. Can biased search results change people’s opinions about anything at all? a close replication of the Search Engine Manipulation Effect (SEME). PLOS ONE 2024;19(3):e0300727 View

Books/Policy Documents

  1. Huhta A, Hirvonen N, Huotari M. Information Literacy in the Workplace. View
  2. Bhaskar P, Buzzi M, Geraci F, Pellegrini M. Information Technology in Bio- and Medical Informatics. View
  3. Draws T, Roy N, Inel O, Rieger A, Hada R, Yalcin M, Timmermans B, Tintarev N. Advances in Information Retrieval. View
  4. Wu Z, Draws T, Cau F, Barile F, Rieger A, Tintarev N. Explainable Artificial Intelligence. View
  5. Westberry C, Palmer X, Potter L. Proceedings of the Future Technologies Conference (FTC) 2023, Volume 3. View
  6. Hagiwara R, Yamamoto T. Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. View
  7. Rieger A, Draws T, Mattis N, Maxwell D, Elsweiler D, Gadiraju U, McKay D, Bozzon A, Pera M. Advances in Information Retrieval. View
  8. Cau F, Tintarev N. Advances in Information Retrieval. View