V2I12P38

The Use of AI in Detecting and Combating Online Misinformation

David Laud Amenyo Fiase^1*, Kwadwo Opoku Attah¹, William Obeng-Amponsah¹, Perry Opoku Agyeman¹

Abstract

The proliferation of online misinformation and disinformation poses a significant threat to information integrity, democratic processes, and societal cohesion. While artificial intelligence (AI) has been implicated in the creation and amplification of false content such as deepfakes and algorithmically boosted fake news it also offers powerful tools for detection and mitigation. This study investigates the dual role of AI in the digital information ecosystem, focusing on its capacity to identify, analyze, and counteract misleading content across various platforms. Using a multidisciplinary approach, the research evaluates AI techniques including natural language processing, machine learning, and content provenance technologies. It explores their effectiveness in real-time content moderation, automated fact-checking, and deepfake detection. The study also examines ethical considerations, governance frameworks, and stakeholder collaboration necessary for responsible AI deployment. By highlighting both technical capabilities and policy implications, the research contributes to the development of robust, transparent, and inclusive strategies for digital safety. Ultimately, it aims to support the ethical use of AI as a force for truth, resilience, and public trust in the digital age.

Keywords:

Misinformation, Artificial Intelligence (AI), Natural language Processing (NLP)