Computational Social Science Approach in Measuring Intra-Religious Tolerance Based on Big Data
DOI:
10.29303/jppipa.v12i4.14782Published:
2026-04-25Downloads
Abstract
The digital transformation of contemporary society has reshaped religious authority, identity construction, and intra-religious interaction. Social media platforms now function as primary arenas for theological negotiation, organizational affiliation, and discursive contestation within religious communities. In this context, intra-religious tolerance—the capacity to accept doctrinal, interpretive, and organizational diversity within the same religious tradition—has become increasingly mediated by algorithmic systems and digitally structured communication environments. Traditional survey-based and ethnographic approaches face limitations in capturing large-scale, real-time patterns of tolerance and polarization. This study develops a comprehensive conceptual framework for measuring intra-religious tolerance through a computational social science approach grounded in big data analytics. Using a qualitative research design based on systematic literature review (2016–2025), thematic synthesis, and conceptual integration, the study bridges scholarship in computational social science, big data methodologies, sociology of religion, and social psychology. The findings propose a multidimensional tolerance model encompassing cognitive, affective, behavioral, and algorithmic-structural dimensions. The article introduces a Big Data-Based Intra-Religious Tolerance Index (IRIT Index) grounded in digital trace indicators such as sentiment polarity, interaction diversity, network modularity, and hostility frequency. The framework contributes theoretically by integrating macro-sociological and micro-psychological theories within computational measurement paradigms, and methodologically by advancing qualitative conceptual modeling within data-intensive research. Ethical considerations, epistemological challenges, and implications for digital governance are discussed.
Keywords:
Big data Computational Religion Religious ToleranceReferences
Ahmed, M. H., Tiun, S., Omar, N., & Sani, N. S. (2022). Short text clustering algorithms, application and challenges: a survey. Applied Sciences, 13(1), 342. https://doi.org/10.3390/app13010342
Allport, G. W. (1954). The nature of prejudice. Addison-wesley.
Bail, C. (2022). Breaking the social media prism: How to make our platforms less polarizing. Princeton University Press. Retrieved from https://www.torrossa.com/en/resources/an/5560313
Bellah, R. (2017). Civil religion in America. In Religion Today: A Reader (pp. 101–105). Routledge. Retrieved from https://www.taylorfrancis.com/chapters/edit/10.4324/9781315244747-30/civil-religion-america-robert-bellah
Campbell, H. A. (2020). Digital creatives and the rethinking of religious authority. Routledge.
Cohen, J. E. (2024). Platforms, data infrastructures, and infrastructure stacks. Global Governance by Data: Infrastructures of Algorithmic Rule, Forthcoming, Georgetown University Law Center Research Paper, 2023/25. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4693056
Ergen, Y. (2023). Framing the study of digital religion: Waves of academic research, theoretical approaches and themes. Journal of Media and Religion Studies, 6(2), 137–166. Retrieved from https://dergipark.org.tr/en/pub/mediad/article/1363608
Hagh Pors, M. (2025). Algorithmic governmentality and the European digital subject: A Discourse Analysis of the European Strategy for Data. Retrieved from https://lutpub.lut.fi/handle/10024/170898
Howard, P. N. (2020). Lie machines: How to save democracy from troll armies, deceitful robots, junk news operations, and political operatives. Yale University Press.
Karki, S., & Raut, A. (2024). Computational techniques and emerging technologies in the optimization of engineering systems and design processes. Journal of AI-Driven Automation, Predictive Maintenance, and Smart Technologies, 9(12), 54–71. Retrieved from https://morphpublishing.com/index.php/JAIPMST/article/view/2024-12-16
Kozinets, R. V. (2022). Algorithmic branding through platform assemblages: core conceptions and research directions for a new era of marketing and service management. Journal of Service Management, 33(3), 437–452. https://doi.org/10.1108/JOSM-07-2021-0263
Mahmoudi, A., Jemielniak, D., & Ciechanowski, L. (2024). Echo chambers in online social networks: A systematic literature review. IEEE Access, 12, 9594–9620. Retrieved from https://ieeexplore.ieee.org/abstract/document/10388309
Qoyyumillah, N. I., Aziz, I. N., & others. (2026). A Bibliometric Analysis Of The Fragmented Nexus Between Pedagogical Competence, Mindfulness, And Teacher Burnout (2015--2025). EDU-RELIGIA: Jurnal Keagamaan Dan Pembelajarannya, 9(1), 1–18. Retrieved from https://ejournal.unisda.ac.id/index.php/edureg/article/view/12446
Rawls, J. (1971). An egalitarian theory of justice. Philosophical Ethics: An Introduction to Moral Philosophy, 365–370. Retrieved from https://shorturl.asia/4sFTU
Reid, J. (2024). Digitising “The Big Lie”: algorithmic curation as an inhibitor of media exposure diversity online. Communicatio: South African Journal of Communication Theory and Research, 50(4), 1–21. https://doi.org/10.1080/02500167.2024.2424841
Sadybekov, A. V, & Katritch, V. (2023). Computational approaches streamlining drug discovery. Nature, 616(7958), 673–685. https://doi.org/10.1038/s41586-023-05905-z
Saleh, S. P., Cangara, H., Sabreen, S., & Ab, S. (2022). Digital da’wah transformation: Cultural and methodological change of Islamic communication in the current digital age. International Journal of Multidisciplinary Research and Analysis, 5(08), 2022–2043. https://doi.org/10.47191/ijmra/v5-i8-18
Setiawan, T. (2025). The Caliphate as the Global Islamic Politics: Theological, Historical, and Contemporary Discourse Perspectives. Jurnal Review Politik, 15(1), 64–84. https://doi.org/10.15642/jrp.2025.15.1.64-84
Stella, M. (2022). Cognitive network science for understanding online social cognitions: A brief review. Topics in Cognitive Science, 14(1), 143–162. https://doi.org/10.1111/tops.12551
Sunstein, C. R. (2018). Republic: Divided democracy in the age of social media. Retrieved from https://www.torrossa.com/en/resources/an/5559626
Tampubolon, M., & Nadeak, B. (2024). Artificial intelligence and understanding of religion: A moral perspective. International Journal of Multicultural and Multireligious Understanding, 11(8), 903–914. Retrieved from http://repository.uki.ac.id/16988/1/ArtificialIntelligenceandUnderstandingofReligion.pdf
Taylor, C. (1992). Multiculturalism and the Politics of Recognition, edited by Amy Gutmann. Princeton, NJ: Princeton University Press. Retrieved from https://shorturl.asia/w3rKP
Thoyib, M. E., Degaf, A., Fatah, A. A., & Huda, M. (2024). Religious tolerance among Indonesian Islamic university students: The pesantren connection. Journal of Al-Tamaddun, 19(2), 239–250. Retrieved from https://repository.uantwerpen.be/desktop/irua
Tindall, D., McLevey, J., Koop-Monteiro, Y., & Graham, A. (2022). Big data, computational social science, and other recent innovations in social network analysis. Canadian Review of Sociology/Revue Canadienne de Sociologie, 59(2), 271–288. https://doi.org/10.1111/cars.12377
Weick, K. E., & Weick, K. E. (1995). Sensemaking in organizations (Vol. 3, Issue 10.1002). Sage publications Thousand Oaks, CA.
Weiss, J., & Bungert, H. (2019). The relevance of the concept of civil religion from a (West) German perspective. Religions, 10(6), 366. https://doi.org/10.3390/rel10060366
Yilmaz, I. (2026). Digital Pathways: Conceptualizing Youth, Faith, and Networked Publics. In Navigating Identity, Belonging and Power in Cyberspace: Young Muslims in the Anglosphere (pp. 21–51). Springer. https://doi.org/10.1007/978-981-95-4660-2_2
Zaid, B., Fedtke, J., Shin, D. D., El Kadoussi, A., & Ibahrine, M. (2022). Digital Islam and Muslim millennials: How social media influencers reimagine religious authority and Islamic practices. Religions, 13(4), 335. https://doi.org/10.3390/rel13040335
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