Leveraging Digital Media and Ai for the Preservation of Indigenous Languages in Niger State
Abdulrahman Umar, Maimuna Muhammad Tyabo, Isah Aliyu Fulani, Yahaya Idris Muhammad, Salisu Yakubu Aso · IOSR Journal of Humanities and Social Science · 2025
Indigenous languages hold immense cultural significance and contribute to the rich heritage, history, and identity of societies. However, many of these languages are endangered due to the growing influence of dominant languages, media, and education policy. This paper assesses the role of digital media and Artificial Intelligence (AI) in preserving endangered and vulnerable indigenous languages in Niger State. A CrossSectional Survey Design was used. Drawing upon secondary data, policy documents, and expert opinion, the study highlights the potential of technology to aid in the revitalization and transmission of linguistic heritage to future generations. Purposive Sampling was used to identify and select key stakeholders and individuals who are directly involved. The main instrument of data collection was a structured questionnaire designed on a Likert rating Scale. Statistical Product and Service Solutions (SPSS). Simple Means and Percentages. The result revealed preservation for cultural heritage, with an overall mean score of 2.502 (SD = 1.524). The composite mean score of 2.286 indicates that respondents somewhat agree with the role of these technologies. The result also shows the challenges related to the use of digital media and Artificial Intelligence (AI) in preserving endangered or unwritten languages mean score of 3.686. The study concludes by emphasizing that a collaborative approach, involving stakeholders from academia, technology firms, community organizations, and policy makers, is essential for conserving linguistic diversity in Niger State