Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 02.04.14 in Vol 16, No 4 (2014): April

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

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

Ahmed Allam, Peter Johannes Schulz, Kent Nakamoto

J Med Internet Res 2014 (Apr 02); 16(4):e100 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2642):

(note that this is only a small subset of citations)

  1. Allam A, Sak G, Diviani N, Schulz PJ. Do quality markers for health websites affect the perception of vaccination webpages?. Computers in Human Behavior 2017;67:273
    CrossRef
  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
    CrossRef
  3. Haas A, Unkel J. Ranking versus reputation: perception and effects of search result credibility. Behaviour & Information Technology 2017;36(12):1285
    CrossRef
  4. . National culture and trust in online health information. Journal of Librarianship and Information Science 2020;52(2):509
    CrossRef
  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
    CrossRef
  6. Sak G, Diviani N, Allam A, Schulz PJ. Comparing the quality of pro- and anti-vaccination online information: a content analysis of vaccination-related webpages. BMC Public Health 2015;16(1)
    CrossRef
  7. . Internet surveillance, regulation, and chilling effects online: a comparative case study. Internet Policy Review 2017;6(2)
    CrossRef
  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
    CrossRef
  9. Bickmore TW, Utami D, Matsuyama R, Paasche-Orlow MK. Improving Access to Online Health Information With Conversational Agents: A Randomized Controlled Experiment. Journal of Medical Internet Research 2016;18(1):e1
    CrossRef
  10. Aguirre PEA, Strieder AP, Lotto M, Oliveira TM, Rios D, Cruvinel AFP, Cruvinel T. Are the Internet users concerned about molar incisor hypomineralization? An infoveillance study. International Journal of Paediatric Dentistry 2020;30(1):27
    CrossRef
  11. . Intended and Unintended Consequence in the Digital Age of Psychiatry. Psychiatric Clinics of North America 2019;42(4):659
    CrossRef
  12. Cassidy JT, Baker JF. Orthopaedic Patient Information on the World Wide Web. Journal of Bone and Joint Surgery 2016;98(4):325
    CrossRef
  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
    CrossRef
  14. Doğramacı EJ, 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
    CrossRef
  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
    CrossRef
  16. Ward JK, Peretti-Watel P, Larson HJ, Raude J, Verger P. Vaccine-criticism on the internet: New insights based on French-speaking websites. Vaccine 2015;33(8):1063
    CrossRef
  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
    CrossRef
  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
    CrossRef
  19. Ludolph R, Allam A, Schulz PJ. 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
    CrossRef
  20. Gao R, Shah C. Toward creating a fairer ranking in search engine results. Information Processing & Management 2020;57(1):102138
    CrossRef
  21. Wong K, Mohan R, Yi PH, Hansen EN. Evaluating patient education material regarding unicompartmental knee arthroplasty. The Knee 2016;23(1):157
    CrossRef
  22. Ward JK, Peretti-Watel P, Verger P. Vaccine criticism on the internet: Propositions for future research. Human Vaccines & Immunotherapeutics 2016;:1
    CrossRef
  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)
    CrossRef
  24. Epstein R, Robertson RE, Lazer D, Wilson C. Suppressing the Search Engine Manipulation Effect (SEME). Proceedings of the ACM on Human-Computer Interaction 2017;1(CSCW):1
    CrossRef
  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
    CrossRef
  26. Chiou L, Tucker CE. Fake News and Advertising on Social Media: A Study of the Anti-Vaccination Movement. SSRN Electronic Journal 2018;
    CrossRef
  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
    CrossRef
  28. Fu LY, Zook K, Spoehr-Labutta Z, Hu P, Joseph JG. 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
    CrossRef
  29. Barbara AM, Dobbins M, Haynes RB, Iorio A, Lavis JN, Raina P, Levinson AJ. The McMaster Optimal Aging Portal: Usability Evaluation of a Unique Evidence-Based Health Information Website. JMIR Human Factors 2016;3(1):e14
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  33. Clarke RM, 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
    CrossRef
  34. Ng MW, Smith R, Wickramesinghe N, Smart PJ, 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
    CrossRef
  35. Rossi-Fedele G, Musu D, Cotti E, Doğramacı EJ. Root Canal Treatment versus Single-Tooth Implant: A Systematic Review of Internet Content. Journal of Endodontics 2016;42(6):846
    CrossRef
  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;
    CrossRef
  37. Oren E, Martinez L, Hensley RE, 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
    CrossRef
  38. Küeper AM, 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
    CrossRef
  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
    CrossRef
  40. Germani F, Biller-Andorno N, Lavorgna L. The anti-vaccination infodemic on social media: A behavioral analysis. PLOS ONE 2021;16(3):e0247642
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  43. Moussa OZ, Takeuchi K. Does searching online for vaccination information affect vaccination coverage? Evidence from Sub-Saharan African countries. Economics & Human Biology 2022;47:101181
    CrossRef
  44. Belozerov A, Klimov V. Semantic Web Technologies: Issues and Possible Ways of Development. Procedia Computer Science 2022;213:617
    CrossRef
  45. Abroms LC, 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
    CrossRef
  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)
    CrossRef
  47. Kobayashi T, Taka F, Suzuki T, Richey SE. Can “Googling” correct misbelief? Cognitive and affective consequences of online search. PLOS ONE 2021;16(9):e0256575
    CrossRef
  48. Epstein R, Lee V, Mohr R, Zankich VR, Saikia LC. 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
    CrossRef
  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)
    CrossRef
  50. Phillips B, Bauch CT. Network structural metrics as early warning signals of widespread vaccine refusal in social-epidemiological networks. Journal of Theoretical Biology 2021;531:110881
    CrossRef
  51. Oduwole EO, Mahomed H, Laurenzi CA, Larson HJ, Wiysonge CS. Point-of-care vaccinators’ perceptions of vaccine hesitancy drivers: A qualitative study from the cape metropolitan district, South Africa. Vaccine 2021;39(39):5506
    CrossRef
  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
    CrossRef
  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
    CrossRef
  54. Chan YK, Tang YM, 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
    CrossRef
  55. Rędzio AM, 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
    CrossRef
  56. Margetts H, John P. How rediscovering nodality can improve democratic governance in a digital world. Public Administration 2023;
    CrossRef
  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
    CrossRef
  58. Malik AA, Ahmed N, Shafiq M, Elharake JA, James E, Nyhan K, Paintsil E, Melchinger HC, Team YBI, Malik FA, Omer SB. Behavioral interventions for vaccination uptake: A systematic review and meta-analysis. Health Policy 2023;137:104894
    CrossRef
  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;
    CrossRef
  60. Athey S, Bergstrom K, Hadad V, Jamison JC, Özler B, Parisotto L, Sama JD. Can personalized digital counseling improve consumer search for modern contraceptive methods?. Science Advances 2023;9(40)
    CrossRef
  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
    CrossRef
  62. Bauer C, Carterette B, Ferro N, Fuhr N, Beel J, Breuer T, Clarke CLA, Crescenzi A, Demartini G, Di Nunzio GM, Dietz L, Faggioli G, Ferwerda B, Fröbe M, Hagen M, Hanbury A, Hauff C, Jannach D, Kando N, Kanoulas E, Knijnenburg BP, 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 MC, Zobel J. Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. ACM SIGIR Forum 2023;57(1):1
    CrossRef
  63. Epstein R, Lothringer M, Zankich VR. How a Daily Regimen of Operant Conditioning Might Explain the Power of the Search Engine Manipulation Effect (SEME). Behavior and Social Issues 2024;
    CrossRef
  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
    CrossRef
  65. Epstein R, Li J, Saikia LC. 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2642):

  1. Huhta A, Hirvonen N, Huotari M. Information Literacy in the Workplace. 2018. Chapter 48:460
    CrossRef
  2. Bhaskar P, Buzzi M, Geraci F, Pellegrini M. Information Technology in Bio- and Medical Informatics. 2015. Chapter 1:3
    CrossRef
  3. Draws T, Roy N, Inel O, Rieger A, Hada R, Yalcin MO, Timmermans B, Tintarev N. Advances in Information Retrieval. 2023. Chapter 18:279
    CrossRef
  4. Wu Z, Draws T, Cau F, Barile F, Rieger A, Tintarev N. Explainable Artificial Intelligence. 2023. Chapter 29:573
    CrossRef
  5. Westberry C, Palmer X, Potter L. Proceedings of the Future Technologies Conference (FTC) 2023, Volume 3. 2023. Chapter 26:404
    CrossRef
  6. Hagiwara R, Yamamoto T. Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. 2023. Chapter 17:188
    CrossRef
  7. Rieger A, Draws T, Mattis N, Maxwell D, Elsweiler D, Gadiraju U, McKay D, Bozzon A, Pera MS. Advances in Information Retrieval. 2024. Chapter 32:437
    CrossRef
  8. Cau FM, Tintarev N. Advances in Information Retrieval. 2024. Chapter 30:403
    CrossRef