Exploring the Nexus of Opportunities and Challenges in Indigenous Language Podcasting Through Natural Language Processing of User-Generated Content

Part of the relics of colonialism on the African continent is the loss of social identity caused by the adoption of colonial languages, leading to the endangered status of indigenous African languages. This qualitative study examines the potential and challenges of podcasting in indigenous African languages, with a focus on Yoruba. We conducted a sentiment analysis of the podcast “I Speak Yoruba Too” and “learn Yoruba online” to assess the range of audience feedback on the podcast. 735 data points were gathered and preprocessed, Hugging face transformers were used to analyse the sentiments on audience feedback. The result of the analysis shows that the negative reviews were 183, the neutral reviews 226, and the positive reviews 326. The visualisation of the word cloud of the labels shows the words frequently used in the reviews, revealing the challenges and the appreciation of the commenter. An in-depth interview was conducted with the host of the “I Speak Yoruba Too” podcast and the “learn Yoruba online Podcast”. The findings reveal that part of the challenges of podcasting include the absence of a standard Yoruba curriculum for foreign learners and time constraints. This paper argues that the deterministic nature of podcast technology offers opportunities to content creators and listeners, based on the medium’s flexibility and ease of access in facilitating language acquisition. Audience reviews and interview results also confirm the potential of the podcast to generate community building and social identity formation among learners. However, the monetisation of such digital products is often underexplored by both emerging and established podcasters.