AI-Generated Podcasts: Scaling Counter-Narratives Against Extremism, Radicalisation, and Disinformation
Author(s):
The proliferation of extremist ideologies across digital platforms has created an urgent need for scalable counter-narrative strategies that can match the volume and sophistication of contemporary propaganda efforts. This article examines the potential of artificial intelligence-generated podcasts and radio programs as transformative tools for countering radicalisation, propaganda, and disinformation, with a particular focus on both Muslim-identified and European race-supremacist extremism. This study suggests that using AI to create audio content is a major change in how we fight against extremist ideas, based on lessons from history, modern technology, and research on how audio can influence people. The analysis incorporates a detailed examination of Nazi Germany’s Arabic-language radio broadcasts during World War II as a cautionary historical case study, demonstrating the enduring power of audio propaganda to shape ideological landscapes. This article presents a comprehensive framework for the ethical deployment of AI-generated counter-narratives by synthesising current research on large language models, voice synthesis technology, and the psychological mechanisms of audio persuasion. The findings suggest that the unique persuasive properties of audio media, combined with the scalability and personalisation capabilities of modern AI systems, offer unprecedented opportunities to combat extremist messaging while fostering inclusive, evidence-based discourse across diverse communities.