AI-POWERED HADITH VERIFICATION: TOWARD A NEW MODEL OF AUTHENTICITY IN ISLAMIC KNOWLEDGE TRANSMISSION
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Artificial Intelligence, Hadith Verification, Islamic Knowledge Transmission
Abstract
The rapid expansion of digital Islamic knowledge has intensified concerns regarding the circulation of unauthenticated hadith, highlighting the need for scalable and methodologically grounded verification mechanisms in the digital age. Classical hadith scholarship offers a rigorous epistemological framework, yet the volume and complexity of textual data now exceed the capacity of manual verification. This study aims to conceptualize an AI-powered model for hadith authentication that aligns machine learning capabilities with the methodological principles of traditional hadith sciences. A qualitative exploratory design was employed, integrating document analysis of classical verification texts, contemporary academic studies, and computational research in natural language processing and network analysis. The findings show substantial structural parallels between classical authentication criteria—such as narrator reliability, chain continuity, and matn coherence—and computational techniques including graph modeling, semantic similarity analysis, and anomaly detection. The study concludes that artificial intelligence can function as a complementary analytical tool that enhances accuracy, efficiency, and scalability in hadith verification while preserving scholarly authority and epistemic integrity. The proposed conceptual model supports the development of hybrid verification systems capable of strengthening authenticity in digital Islamic knowledge transmission.
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References
Airin, C. M., Budikafa, M. J., Erwanto, Y., Sudjadi, S., Astuti, P., Sarmin, S., Windarsih, A., & Rohman, A. (2025). Fingerprinting using vibrational spectroscopy and chemometrics for determining the presence of non-halal meats in food products. Applied Food Research, 5(1), 100982. https://doi.org/https://doi.org/10.1016/j.afres.2025.100982
Arqam, M. L., Firdaus, A. A., Atmojo, A. M., Saputri, G. Z., Furizal, Palahuddin, & Sirnopati, R. (2026). Integrating education-based interventions and machine learning for stunting prevention: A case study in East Lombok, Indonesia. Dialogues in Health, 8, 100264. https://doi.org/https://doi.org/10.1016/j.dialog.2025.100264
Billah, M. (2025a). An analysis of extreme risk spillover effects and their determinants between AI-related assets and Islamic banking indices. International Journal of Islamic and Middle Eastern Finance and Management, 18(3), 598–627. https://doi.org/https://doi.org/10.1108/IMEFM-09-2024-0453
Billah, M. (2025b). Unraveling financial interconnectedness: A quantile VAR model analysis of AI-based assets, sukuk, and islamic equity indices. Research in International Business and Finance, 75, 102718. https://doi.org/https://doi.org/10.1016/j.ribaf.2024.102718
Bozkurt, T. S. (2025). Modern mosque design proposal and investigation of acoustic comfort conditions. Results in Engineering, 28, 108142. https://doi.org/https://doi.org/10.1016/j.rineng.2025.108142
Dian, J., Li, S., & Song, T. (2025). Achieving the synergy of pollution and carbon emission reductions: Can artificial intelligence applications work? China Economic Review, 91, 102389. https://doi.org/https://doi.org/10.1016/j.chieco.2025.102389
Fanaei Eshkevari, J. (2025). International relations from the perspective of Islamic mysticism. Social Sciences & Humanities Open, 12, 102157. https://doi.org/https://doi.org/10.1016/j.ssaho.2025.102157
Gattiglia, G. (2025). Managing Artificial Intelligence in Archeology. An overview. Journal of Cultural Heritage, 71, 225–233. https://doi.org/https://doi.org/10.1016/j.culher.2024.11.020
Ghaemi Asl, M., Ben Jabeur, S., & Ben Zaied, Y. (2024). Analyzing the interplay between eco-friendly and Islamic digital currencies and green investments. Technological Forecasting and Social Change, 208, 123715. https://doi.org/https://doi.org/10.1016/j.techfore.2024.123715
Ghaemi Asl, M., Ben Jabeur, S., Hosseini, S. S., & Tajmir Riahi, H. (2024). Fintech’s impact on conventional and Islamic sustainable equities: Short- and long-term contributions of the digital financial ecosystem. Global Finance Journal, 62, 101022. https://doi.org/https://doi.org/10.1016/j.gfj.2024.101022
Goni, M. O. F., Nahiduzzaman, M., Anower, M. S., Rahman, M. M., Islam, M. R., Ahsan, M., Haider, J., & Shahjalal, M. (2023). Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine. E-Prime - Advances in Electrical Engineering, Electronics and Energy, 3, 100107. https://doi.org/https://doi.org/10.1016/j.prime.2023.100107
Gubareva, M., Shafiullah, M., & Teplova, T. (2025). Cross-quantile risk assessment: The interplay of crude oil, artificial intelligence, clean tech, and other markets. Energy Economics, 141, 108085. https://doi.org/https://doi.org/10.1016/j.eneco.2024.108085
Haque, A. K. M. B., Islam, A. K. M. N., & Mikalef, P. (2023). Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research. Technological Forecasting and Social Change, 186, 122120. https://doi.org/https://doi.org/10.1016/j.techfore.2022.122120
Hassan, M. M., Nag, A., Biswas, R., Ali, M. S., Zaman, S., Bairagi, A. K., & Kaushal, C. (2025). Explainable artificial intelligence for natural language processing: A survey. Data & Knowledge Engineering, 160, 102470. https://doi.org/https://doi.org/10.1016/j.datak.2025.102470
Islam, M. M. (2025). Halal supply chain management readiness and halal cosmetics in Bangladesh. Journal of Islamic Marketing, 16(8), 2148–2186. https://doi.org/https://doi.org/10.1108/JIMA-05-2022-0130
Kim, Y., Doo, H., Shin, D., Lee, S. Y., Roh, Y., Park, S., Song, H., Jung, Y., Yoo, H. J., Han, S. S., Kim, J. W., Besenhard, M. O., Lee, Y. S., & Na, J. (2025). Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective. Computers & Chemical Engineering, 203, 109266. https://doi.org/https://doi.org/10.1016/j.compchemeng.2025.109266
Lakshmi, A. J., Kumar, A., Kumar, M. S., Patel, S. I., Naik, S. K. L., & Ramesh, J. V. N. (2023). Artificial intelligence in steering the digital transformation of collaborative technical education. The Journal of High Technology Management Research, 34(2), 100467. https://doi.org/https://doi.org/10.1016/j.hitech.2023.100467
Mahapatra, U., Rahman, M. A., Islam, M. R., Hossain, M. A., Sheikh, M. R. I., & Hossain, M. J. (2025). Adversarial training-based robust model for transmission line’s insulator defect classification against cyber-attacks. Electric Power Systems Research, 245, 111585. https://doi.org/https://doi.org/10.1016/j.epsr.2025.111585
Mamun, K. A., Nabid, R. A., Pranto, S. I., Lamim, S. M., Rahman, M. M., Mahammed, N., Huda, M. N., Sarker, F., & Khan, R. R. (2024). Smart reception: An artificial intelligence driven bangla language based receptionist system employing speech, speaker, and face recognition for automating reception services. Engineering Applications of Artificial Intelligence, 136, 108923. https://doi.org/https://doi.org/10.1016/j.engappai.2024.108923
Mu, J., & Liu, D. (2024). Application of Artificial Intelligence Technology in the Field of Digital Currency Security. Procedia Computer Science, 243, 458–464. https://doi.org/https://doi.org/10.1016/j.procs.2024.09.056
Muawanah, U., Marini, A., & Sarifah, I. (2024). The interconnection between digital literacy, artificial intelligence, and the use of E-learning applications in enhancing the sustainability of Regional Languages: Evidence from Indonesia. Social Sciences & Humanities Open, 10, 101169. https://doi.org/https://doi.org/10.1016/j.ssaho.2024.101169
Mukherjee, S., Mukherjee, S., Ferraris, A., & Stehlikova, B. (2025). Enhancing health-care service delivery through AI-integrated knowledge management systems. Journal of Knowledge Management, 29(10), 3379–3409. https://doi.org/https://doi.org/10.1108/JKM-01-2025-0119
Naeem, M. A., Gul, R., Arfaoui, N., Bakry, W., & Bhatti, M. I. (2025). Riding the storm: AI-driven spillover effects across technology, commodities, and conventional markets. Pacific-Basin Finance Journal, 93, 102845. https://doi.org/https://doi.org/10.1016/j.pacfin.2025.102845
Nafi, S., & Ouahrani, D. (2025). Reshaping transit-oriented development to enhance sociocultural harmonization in the context of Qatar. Journal of Urban Mobility, 8, 100132. https://doi.org/https://doi.org/10.1016/j.urbmob.2025.100132
Nawab, F., Abd Hamid, A. S., Ibrahim, A., Sopian, K., Fazlizan, A., & Fauzan, M. F. (2023). Solar irradiation prediction using empirical and artificial intelligence methods: A comparative review. Heliyon, 9(6), e17038. https://doi.org/https://doi.org/10.1016/j.heliyon.2023.e17038
Oufadel, A., Ydrissi, M. El, Hassani, A. A., Ghennioui, H., Ghennioui, A., Ghali bennouna, E., Amri, A. El, & Abdi, F. (2023). In-situ heat losses measurements of parabolic trough receiver tubes based on infrared camera and artificial intelligence. Environmental Challenges, 10, 100679. https://doi.org/https://doi.org/10.1016/j.envc.2023.100679
Qorib, M. (2025). Socio-cultural transformation within Indonesian academics: cases in Muhammadiyah and Nahdlatul Ulama universities. Asian Education and Development Studies, 14(4), 856–875. https://doi.org/https://doi.org/10.1108/AEDS-12-2024-0295
Rasheed, M. Q., Yuhuan, Z., Nazir, M., Ahmed, Z., & Yu, X. (2025). How do semiconductors, artificial intelligence, geopolitical risk, and their moderating effects shape renewable energy production in leading semiconductor manufacturing countries? Technology in Society, 80, 102761. https://doi.org/https://doi.org/10.1016/j.techsoc.2024.102761
Saad, S. A., Shayea, I., & Sid Ahmed, N. M. O. (2024). Artificial intelligence linear regression model for mobility robustness optimization algorithm in 5G cellular networks. Alexandria Engineering Journal, 89, 125–148. https://doi.org/https://doi.org/10.1016/j.aej.2024.01.014
Sajjadi Mohammadabadi, S. M., Entezami, M., Karimi Moghaddam, A., Orangian, M., & Nejadshamsi, S. (2024). Generative artificial intelligence for distributed learning to enhance smart grid communication. International Journal of Intelligent Networks, 5, 267–274. https://doi.org/https://doi.org/10.1016/j.ijin.2024.05.007
Seliktar, O. (2024). The Failure to Predict the Hamas Attack: Insights from Artificial Intelligence. Orbis, 68(2), 259–275. https://doi.org/https://doi.org/10.1016/j.orbis.2024.02.007
Shammar, E., Cui, X., Zahary, A., Alsamhi, S. H., & Al-qaness, M. A. A. (2025). Threat to trust: A systematic review on Internet of medical things security. Journal of Parallel and Distributed Computing, 206, 105172. https://doi.org/https://doi.org/10.1016/j.jpdc.2025.105172
Sindhu, M. I., Naveed, M., & Almulhim, A. A. (2025). From carbon footprints to digital footprints: Return transmission between AI and renewable energy markets. Sustainable Futures, 10, 101529. https://doi.org/https://doi.org/10.1016/j.sftr.2025.101529
Steinmetz, J. D., Seeher, K. M., Schiess, N., Nichols, E., Cao, B., Servili, C., Cavallera, V., Cousin, E., Hagins, H., Moberg, M. E., Mehlman, M. L., Abate, Y. H., Abbas, J., Abbasi, M. A., Abbasian, M., Abbastabar, H., Abdelmasseh, M., Abdollahi, M., Abdollahi, M., … Dua, T. (2024). Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Neurology, 23(4), 344–381. https://doi.org/https://doi.org/10.1016/S1474-4422(24)00038-3
Taheri Otaghsara, S. S., & Asghari Gharakheili, M. (2025). A market-based reliability-centered maintenance scheme for power transmission networks. Sustainable Energy, Grids and Networks, 44, 102047. https://doi.org/https://doi.org/10.1016/j.segan.2025.102047
Tamascelli, N., Campari, A., Parhizkar, T., & Paltrinieri, N. (2024). Artificial Intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning. Journal of Loss Prevention in the Process Industries, 90, 105343. https://doi.org/https://doi.org/10.1016/j.jlp.2024.105343
Tariq, R., Ali, M., Sheikh, N. A., Shahzad, M. W., & Xu, B. Bin. (2023). Deep learning artificial intelligence framework for sustainable desiccant air conditioning system: Optimization towards reduction in water footprints. International Communications in Heat and Mass Transfer, 140, 106538. https://doi.org/https://doi.org/10.1016/j.icheatmasstransfer.2022.106538
Tilahun, M. A., Gatisso, M. M., & Ali, A. M. (2025). Interreligious marriage in Wollo, Ethiopia: Historical factors underpinning its development and prevalence. Social Sciences & Humanities Open, 11, 101611. https://doi.org/https://doi.org/10.1016/j.ssaho.2025.101611
Upadhyay, P., Agarwal, R., Dhiman, S., Sarkar, A., & Chaturvedi, S. (2024). A comprehensive survey on answer generation methods using NLP. Natural Language Processing Journal, 8, 100088. https://doi.org/https://doi.org/10.1016/j.nlp.2024.100088
Wakili, A. A., Asaju, B. J., & Jung, W. (2025). Breath as a biomarker: A survey of contact and contactless applications and approaches in respiratory monitoring. Smart Health, 36, 100579. https://doi.org/https://doi.org/10.1016/j.smhl.2025.100579
Wang, K.-H., Jiang, X.-Y., & Tang, Y. (2025). Artificial intelligence, cloud computing, blockchain, and the energy market in the era of energy transition. Energy Economics, 151, 108975. https://doi.org/https://doi.org/10.1016/j.eneco.2025.108975
Xi, X., Zhao, J., Yu, L., & Wang, C. (2024). Exploring the potentials of artificial intelligence towards carbon neutrality: Technological convergence forecasting through link prediction and community detection. Computers & Industrial Engineering, 190, 110015. https://doi.org/https://doi.org/10.1016/j.cie.2024.110015
Yakubu, M. M., Hassan, M. F. B., Danyaro, K. U., Yakubu, B. M., Alabdulatif, A. A., Beevi, S. Z., & Garba, A. (2025). HalalChain: A decentralized blockchain model for enhanced data integrity, real-time compliance, and automated verification in halal food supply chain. Results in Engineering, 27, 106591. https://doi.org/https://doi.org/10.1016/j.rineng.2025.106591
Yasmin, M., Jabeen, T., & Noor, S. (2025). Examining Digital Hate: Gendered discursive strategies in online harassment of Pakistani influencers. Computers in Human Behavior Reports, 19, 100759. https://doi.org/https://doi.org/10.1016/j.chbr.2025.100759
Zhao, H., Li, N., & Zhang, J. (2025). Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury. SLAS Technology, 32, 100299. https://doi.org/https://doi.org/10.1016/j.slast.2025.100299
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Copyright (c) 2025 Rustiyana Rustiyana, Sara Al-Jabri, Michael Johnson
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