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Judgment of information quality and cognitive authority in the Web

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  • Soo Young Rieh

Abstract

In the Web, making judgments of information quality and authority is a difficult task for most users because overall, there is no quality control mechanism. This study examines the problem of the judgment of information quality and cognitive authority by observing people's searching behavior in the Web. Its purpose is to understand the various factors that influence people's judgment of quality and authority in the Web, and the effects of those judgments on selection behaviors. Fifteen scholars from diverse disciplines participated, and data were collected combining verbal protocols during the searches, search logs, and postsearch interviews. It was found that the subjects made two distinct kinds of judgment: predictive judgment, and evaluative judgment. The factors influencing each judgment of quality and authority were identified in terms of characteristics of information objects, characteristics of sources, knowledge, situation, ranking in search output, and general assumption. Implications for Web design that will effectively support people's judgments of quality and authority are also discussed.

Suggested Citation

  • Soo Young Rieh, 2002. "Judgment of information quality and cognitive authority in the Web," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(2), pages 145-161.
    • Handle: RePEc:bla:jamist:v:53:y:2002:i:2:p:145-161
    DOI: 10.1002/asi.10017
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    1. Yiwei Wang & Chirag Shah, 2022. "Authentic versus synthetic: An investigation of the influences of study settings and task configurations on search behaviors," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 362-375, March.
    2. Yen-Liang Chen & Chia-Ling Chang & An-Qiao Sung, 2021. "Predicting eWOM’s Influence on Purchase Intention Based on Helpfulness, Credibility, Information Quality and Professionalism," Sustainability, MDPI, vol. 13(13), pages 1-19, July.
    3. Chuanfu Chen & Yuan Yu & Qiong Tang & Kuei Chiu & Yan Rao & Xuan Huang & Kai Sun, 2012. "Assessing the authority of free online scholarly information," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 543-560, February.
    4. Kim, Jooyoung & Ahn, Sun Joo (Grace) & Kwon, Eun Sook & Reid, Leonard N., 2017. "TV advertising engagement as a state of immersion and presence," Journal of Business Research, Elsevier, vol. 76(C), pages 67-76.
    5. Devan Ray Donaldson & Paul Conway, 2015. "User conceptions of trustworthiness for digital archival documents," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2427-2444, December.
    6. Atma Citalada & Atim Djazuli & Sri Palupi Prabandari, 2022. "The effect of advertising relevance on avoidance with advertising engagement: Perceived intrusiveness as mediation variable," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(3), pages 44-50, April.
    7. Aurora González-Teruel & Gregorio González-Alcaide & Maite Barrios & María-Francisca Abad-García, 2015. "Mapping recent information behavior research: an analysis of co-authorship and co-citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 687-705, May.
    8. Devan Ray Donaldson & Colin Bradley LeFevre, 2022. "Records, trust, and misinformation: Using birtherism to understand the influence of conspiracy theories on human information interactions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(11), pages 1579-1593, November.
    9. Affifa Sardar & Amir Manzoor & Khurram Adeel Shaikh & Liaqat Ali, 2021. "An Empirical Examination of the Impact of eWom Information on Young Consumers’ Online Purchase Intention: Mediating Role of eWom Information Adoption," SAGE Open, , vol. 11(4), pages 21582440211, October.
    10. Yuwei Yan & Zhihan Lv & Bin Hu, 2018. "Building investor trust in the P2P lending platform with a focus on Chinese P2P lending platforms," Electronic Commerce Research, Springer, vol. 18(2), pages 203-224, June.
    11. Berné Manero, Carmen & Ciobanu, Andreea V. & Pedraja Iglesias, Marta, 2020. "The electronic word of mouth as a context variable in the hotel management decision-making process," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    12. Hoffmann, Arvid O.I. & Plotkina, Daria, 2020. "Why and when does financial information affect retirement planning intentions and which consumers are more likely to act on them?," Journal of Business Research, Elsevier, vol. 117(C), pages 411-431.
    13. Min Sook Park & JungHo Park & Hyejin Kim & Jin Hui Lee & Hyejin Park, 2023. "Measuring the impacts of quantity and trustworthiness of information on COVID‐19 vaccination intent," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(7), pages 846-865, July.
    14. López-Fernández, Begoña & Perrigot, Rozenn, 2018. "Using Websites to Recruit Franchisee Candidates," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 80-94.
    15. Simona VINEREAN, 2017. "Content Marketing Strategy. Definition, Objectives and Tactics," Expert Journal of Marketing, Sprint Investify, vol. 5(2), pages 92-98.
    16. Rajni Mala & Parmod Chand, 2015. "Judgment and Decision‐Making Research in Auditing and Accounting: Future Research Implications of Person, Task, and Environment Perspective," Accounting Perspectives, John Wiley & Sons, vol. 14(1), pages 1-50, March.
    17. Tiziana Guzzo & Fernando Ferri & Patrizia Grifoni, 2022. "What Factors Make Online Travel Reviews Credible? The Consumers’ Credibility Perception-CONCEPT Model," Societies, MDPI, vol. 12(2), pages 1-16, March.
    18. Annaluce Latorre & Maria Vernuccio, 2013. "Ridurre il rischio percepito e generare fiducia nello shopping online attraverso gli User Generated Content," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2013(1), pages 143-163.
    19. Marilena Daquino, 2020. "A computational analysis of art historical linked data for assessing authoritativeness of attributions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(7), pages 757-769, July.
    20. Fadhilah Mat Yamin & T. Ramayah, 2011. "The Impact of User Knowledge on Web Search Satisfaction," American Journal of Economics and Business Administration, Science Publications, vol. 3(1), pages 139-145, January.
    21. Marta Miszczak, 2020. "Weryfikacja Wiarygodności Informacji Zamieszczonej W Internecie – Pragmatyka Istotna Dla Zachowania Bezpieczeństwa Na Poziomie Jednostki," Nowoczesne Systemy Zarządzania. Modern Management Systems, Military University of Technology, Faculty of Security, Logistics and Management, Institute of Organization and Management, issue 3, pages 51-61.
    22. Yan Chen & Grace Jeon & Yong-Mi Kim, 2014. "A day without a search engine: an experimental study of online and offline searches," Experimental Economics, Springer;Economic Science Association, vol. 17(4), pages 512-536, December.
    23. Di Zou & Haoran Xie, 2021. "Vocabulary Learning Based on Learner-Generated Pictorial Annotations: Using Big Data as Learning Resources," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    24. Xiuping Zhang & Jaewon Choi, 2022. "The Importance of Social Influencer-Generated Contents for User Cognition and Emotional Attachment: An Information Relevance Perspective," Sustainability, MDPI, vol. 14(11), pages 1-18, May.

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