Combating AI-Driven Misinformation in Indian Cities


Authors : Jerome Jayanathan Needhipathi

Volume/Issue : Volume 10 - 2025, Issue 3 - March


Google Scholar : https://tinyurl.com/3ujkwpx2

Scribd : https://tinyurl.com/mtj6j8pp

DOI : https://doi.org/10.38124/ijisrt/25mar1627

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Abstract : The digital age has brought about AI-driven misinformation, which presents a substantial challenge to diverse nations, including India, because of its extensive demographic size coupled with multiple language variations and varying user digital skills, which intensify its effects through social media platforms. This paper investigates AI-produced fake content by analyzing echo chambers as well as deep fakes alongside algorithmic bias while studying their effects on society which include trust breakdown combined with social fragmentation and damaged democratic governance. The effectiveness of inoculation debunking and AI-based detection strategies remains constrained because they fail to scale effectively, adjust to context, or reach sufficient public awareness. The study describes how policymakers’ technology companies, civil society organizations and individual users should work together to reduce misinformation spread. The research underscores three main requirements which include culturally appropriate digital literacy education programs along with the development of universal detection systems across different platforms and coordinated societal groupwork between different sectors. The report concludes by presenting specific practical solutions that establish a detailed plan to build India's information system resistance while delivering important findings that support international AI misinformation defense initiatives.

Keywords : AI-driven Misinformation, Deep Fakes, and Echo Chambers, Algorithmic Bias, Digital Literacy Education, Misinformation Detection Systems.

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The digital age has brought about AI-driven misinformation, which presents a substantial challenge to diverse nations, including India, because of its extensive demographic size coupled with multiple language variations and varying user digital skills, which intensify its effects through social media platforms. This paper investigates AI-produced fake content by analyzing echo chambers as well as deep fakes alongside algorithmic bias while studying their effects on society which include trust breakdown combined with social fragmentation and damaged democratic governance. The effectiveness of inoculation debunking and AI-based detection strategies remains constrained because they fail to scale effectively, adjust to context, or reach sufficient public awareness. The study describes how policymakers’ technology companies, civil society organizations and individual users should work together to reduce misinformation spread. The research underscores three main requirements which include culturally appropriate digital literacy education programs along with the development of universal detection systems across different platforms and coordinated societal groupwork between different sectors. The report concludes by presenting specific practical solutions that establish a detailed plan to build India's information system resistance while delivering important findings that support international AI misinformation defense initiatives.

Keywords : AI-driven Misinformation, Deep Fakes, and Echo Chambers, Algorithmic Bias, Digital Literacy Education, Misinformation Detection Systems.

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