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A Critical Analysis of the Political Binary Affecting Social Media Amongst Youth in Artificial Intelligence

Author

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  • Eugene J. LEWIS

    (Capitol Technology University, United States)

  • Allison FULLWOOD

    (Capitol Technology University, United States)

Abstract

The political binary affecting social media amongst youth in the era of Artificial Intelligence (AI) reflects a growing divide shaped by algorithmic filtering, content personalization, and digital echo chambers. Social media platforms, empowered by AI-driven recommendation systems, often reinforce pre-existing political leanings, polarizing young users into distinct ideological camps. This dynamic not only influences civic engagement but also reshapes the way youth perceive truth, authority, and collective identity in the digital sphere. As AI amplifies biases through targeted content and misinformation, it fosters a climate of heightened division, where political discourse becomes less about dialogue and more about reaffirmation of group identities. Understanding this intersection between AI, youth engagement, and political binary is critical for addressing democratic challenges, fostering digital literacy, and promoting equitable participation in the evolving socio-political landscape.

Suggested Citation

  • Eugene J. LEWIS & Allison FULLWOOD, 2025. "A Critical Analysis of the Political Binary Affecting Social Media Amongst Youth in Artificial Intelligence," RAIS Journal for Social Sciences, Research Association for Interdisciplinary Studies, vol. 9(2), pages 221-231, November.
    • Handle: RePEc:smo:jornl1:v:9:y:2025:i:2:p:221-231
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