Disrupting Digital Dissonance: Exploring the Efficacy of AI in Tackling Extreme Right Content on TikTok

Abstract

The possible future of artificial intelligence (AI) in content moderation is examined in this dissertation, with a focus placed on countering extreme right material on the social network platform TikTok. As social media develops as a powerful communication and information distribution tool, user safety and free speech face severe threats from the dissemination of dangerous content, particularly extremist beliefs. The tremendous volume of user-generated content on TikTok challenges traditional content moderation techniques, requiring more efficacious and scalable solutions. Additionally, this research emphasises possible effects on global security that transcend social media. Digitally distributed extreme right content has the potential to contribute to radicalisation and poses security risks on a worldwide scale. Recognising how effectively AI- driven solutions aid in restricting potentially harmful content can assist with more significant initiatives to fight radicalisation and advance digital security on a global level. The significance of this dissertation is further reinforced by its emphasis on the 2022 Digital Services Act of the European Commission, which highlights the duty of Internet platforms to combat dangerous content. This study uses a case study to offer important new insights into...