Religion and relevance judgment: The effect of users’ religiosity scales on their relevance judgment

Farhoodi, Faezeh Religion and relevance judgment: The effect of users’ religiosity scales on their relevance judgment. Research on Information Science and Public Libraries, 2023, vol. 29, n. 4, pp. 531-518. [Journal article (Paginated)]

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English abstract

Purpose: The main purpose of this research is investigation of effect of the users’ religiosity on their relevance judgment. Method: This research is practical in terms of purpose and was conducted using the descriptive survey design. The statistical population of the research consisted of all fourth-level doctoral students at Al-Zahra University, whose number was 69. Mean and Standard deviation were used to describe the statistical data, and Pearson’s correlation coefficient and simultaneous regression analysis were used to analyze the data. In order to collect information about the level of users’ adherence to religiosity dimensions, Glock and Stark’s religiosity questionnaire (1968) was used which includes 26 items arranged in 4 dimensions of beliefs, emotional, consequential, and ritual. Then, in order to determine the degree of relevance judgment, 6 simulated work tasks were defined and the most important criteria of relevance judgment were evaluated during the execution of work tasks. First, the users searched on the topic of work tasks in Persian paper databases, including Magiran, SID and Ensani Portal (Iran’s Humanities Portal), and they selected 10 papers for each task. After reading each scenario and the demand related to it, users evaluated the papers related to each scenario in a related, somewhat related, unrelated format. Therefore, each user evaluated 30 papers related to 6 work tasks. Findings: The findings indicates that among the religiosity dimensions, the interactive behavior of users showed a higher average than the interactive performance and relevance judgment. Moreover, the average of practices dimension was the highest, followed by belief dimension, and emotion dimension. Finally, the works dimension showed the lowest average. The results of multiple regression test showed that users’ ritual and behavioral dimension (such as worship, prayer, participation in special religious rites, fasting, etc.) and belief dimension and religious beliefs are effective in increasing relevance judgment, but the two affective and emotional dimensions have nothing to do with the judgment of users. In other words, despite the change in the emotional dimension of the users, i.e., the change in the degree of emotions, imaginations and feelings related to having a relationship with a divine entity such as God or an ultimate reality or a supreme authority, their relevance judgment would not change. Furthermore, despite the change in the ‘consequences dimension’ of religiosity, i.e., the change in the effects of religious beliefs, actions, experiences and knowledge on the daily life of users, the level of their relevance judgment did not show a change. Originality/value: The present research is the first research that has explored the effect of users’ religiosity scales on relevance judgment. According to the findings, it is suggested that system designers and experts, in addition to considering technical issues and hardware and software equipment, should also manage the interactions of users with the system and consider the different conditions and situations of users. Librarians, while knowing the society in which the users are located and considering the religious context of the society as well as knowing the religious approaches of the users, can provide the necessary guidance to them when retrieving information.

Persian abstract

Item type: Journal article (Paginated)
Keywords: Effects of Religiosity,Religious practices,Religious beliefs,Religious emotions,Relevance Judgment
Subjects: D. Libraries as physical collections. > DC. Public libraries.
Depositing user: rispl journal Journal
Date deposited: 30 Jan 2026 17:30
Last modified: 30 Jan 2026 17:30
URI: http://hdl.handle.net/10760/47459

References

23. Borlund, P. (2000). Experimental components for the evaluation of interactive information retrieval systems. Journal of documentation, 56(1), 71-90. [DOI:10.1108/EUM0000000007110]

24. Glock, C. Y., & Stark, R. (1965). Religion and Society in Tension. Chicago: Rand McNally.

25. Hjørland, B., & Albrechtsen, H. (1995). Toward a new horizon in information science: Domain‐analysis. Journal of the American Society for Information Science, 46(6), 400-425. https://doi.org/10.1002/(SICI)1097-4571(199507)46:6<400::AID-ASI2>3.0.CO;2-Y [DOI:10.1002/(SICI)1097-4571(199507)46:63.0.CO;2-Y]

26. Hukkinen, J. P. (2011). Less is more–The paradox of choice in search-engine use [Unpublished master’s thesis]. The University of Helsinki, Finland.

27. Kelly, D. (2009). Methods for evaluating interactive information retrieval systems with users. Foundations and Trends in Information Retrieval, 3(1-2), 1-224. [DOI:10.1561/1500000012]

28. Kinley, K., Tjondronegoro, D., Partridge, H., & Edwards, S. (2012, November). Human-computer interaction: the impact of users’ cognitive styles on query reformulation behaviour during web searching. In Proceedings of the 24th Australian Computer-Human Interaction Conference (pp. 299-307). [DOI:10.1145/2414536.2414586]

29. Li, Y., & Belkin, N. J. (2010). An exploration of the relationships between work task and interactive information search behavior. Journal of the American Society for information Science and Technology, 61(9), 1771-1789. [DOI:10.1002/asi.21359]

30. Peng, S. (2013, June). Maximizing and satisficing in decision-making dyads. Wharton Research Scholars. http://repository.upenn.edu/wharton_research_scholars/98

31. Tian, X., Du, X., Hu, H., & Li, H. (2009). Modeling individual cognitive structure in contextual information retrieval. Computers & Mathematics with Applications, 57(6), 1048-1056. [DOI:10.1016/j.camwa.2008.10.059]

32. Zhuang, M., Toms, E. G., & Demartini, G. (2016). The relationship between user perception and user behaviour in interactive information retrieval evaluation. In Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016. Proceedings 38 (pp. 293-305). Springer International Publishing. [DOI:10.1007/978-3-319-30671-1_22]


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