Published 2025-06-30
Keywords
- Fake News, Misinformation, Artificial Intelligence, Social Media, West Bengal, Natural Language Processing, Visual Content Verification, Predictive Modeling, Digital Ethics.
How to Cite
Abstract
From 2014 to 2024, West Bengal’s social media ecosystem, encompassing over 50 million users on platforms like WhatsApp, X, and Instagram, has amplified fake news and misinformation, intensifying political polarization and communal tensions. This narrative review examines Artificial Intelligence’s (AI) role in mitigating these issues through natural language processing (NLP), visual content verification, and predictive modeling, focusing on key events like the 2016 Dhulagarh riots, the 2020 public health crisis, and the 2024 Murshidabad violence. AI has enabled rapid detection and containment of false narratives, yet it faces challenges such as Bengali dialect complexities, algorithmic biases, and ethical concerns like privacy and censorship. Recommendations include localized AI training, hybrid verification systems, public education initiatives, and collaborative networks to enhance efficacy while preserving democratic discourse in West Bengal’s diverse context.