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Hadith is a set of Islamic byelaws based on the teachings in the holy Quran. Arabic natural language processing (ANLP) tools possess features, which are mainly used for explaining Qur'an verses. In the last few years, research work in identifying both fake and authentic hadith has drawn a great attention. As of late, there are numerous hadith whose legitimacy is questionable. Currently, there are efforts to make the hadith available in digital form and disseminate it on the web and social media. This paper discusses fake hadith detection techniques, such as knowledge driven, hybrid and data driven. It also highlights various hadith detection mechanisms, their challenges and methods for identifying fake hadith. The study presents a novel taxonomy/classification of hadith detection techniques. Our taxonomy is unique compared to others because all hadith components are categorized based on four layers which include authority, narrators, Ma’tn and Isnad and status.

This paper critically analyses the key problem of Hadith authentication and scrutiny. The study looks into key aspects, such as the impression of critical scholars and the standard accepted by the main compilers of Hadith in giving rulings on the validity of Hadith. The paper uncovers an authoritative blend of facts, theory, and critical enquiry with an engaging insight. The system is designed using a client–server architecture. Also, the system is based on two major technologies namely web and mobile technology, for the back and front-end, respectively. The web-based interface is used for administrative task while the mobile based interface is for public access. The web interface was developed using Springboot a java based frame wake, while the mobile interface was developed using react native. React native uses a Javascript syntax to make cross platformed applications that can run both on android and iOS platforms. Moreover, the web and mobile interfaces communicate through rest services. Statical analysis was used for the validating our results with the state-of-the-arts systems. Finally, the paper translates authentic Hadith from Arabic to Malay language.