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@article{196102,
        author = {Deepthi Suresh and Jaisakthivel T},
        title = {A Multimodal Analysis of The AI Podcast “Bot Canon”},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {no},
        pages = {23-30},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196102},
        abstract = {Podcasting has rapidly become a preferred medium for digital influencers to establish deeper, more personal connections with their audiences. Tim Paige, an audiobook narrator and voice artist once said “A podcast is a great way to develop relationships with hard-to-reach people”. Additionally, AI technology is increasingly used in podcast production to enhance audio quality, streamline editing, and even generate content, making the medium more dynamic and easier for the creators. This study conducts a multimodal analysis of ten episodes from the AI Podcast Bot Canon, examining how narrative style, episode structure, sound effects, context, and choice of words work together to shape meaning. By looking beyond language alone, the research highlights how these elements contribute to storytelling about artificial intelligence. In an interview Stephen Hawking said “A development of full artificial intelligence could spell the end of the human race” (BBC, 2014). The findings will provide critical insights into whether AI storytelling in podcasts is sufficiently advanced to replicate human nuances or still evolving as a technology. Additionally, the study will evaluate the prospects of AI potentially replacing human roles in podcasting, highlighting both its current capabilities and limitations.},
        keywords = {Artificial Intelligence, Podcast, Multimodal Analysis, Storytelling, Content.},
        month = {March},
        }