Trend Amplification or Suppression: The Dual Role of AI in Influencing Viral Content DOI Creative Commons

Sunil Patil,

Aashish Shashikant Jani,

Sukanya Konatam

et al.

Published: Nov. 30, 2024

Artificial intelligence (AI) plays a dual role in amplifying and suppressing trends on digital platforms, profoundly shaping public discourse societal norms.Social media platforms like TikTok Facebook utilize AI-driven recommendation algorithms to promote engaging content while deploying moderation systems suppress harmful or non-compliant material.This paper examines the mechanisms behind these processes, analyzing their impact user behavior, cultural narratives, political discourse.Through case studies of Facebook, it highlights ethical concerns, including algorithmic bias, lack transparency, marginalization dissenting minority voices.The discussion integrates theoretical frameworks, such as folk theories strategic amplification, explain interplay between amplification suppression broader implications.It also evaluates regulatory efforts, European Union's Digital Services Act, emphasizes importance explainable AI (XAI), empowerment, cross-disciplinary collaboration mitigating risks.By addressing current research limitations proposing actionable recommendations for platform providers, policymakers, researchers, civil society organizations, this aims advance governance, contributing development more equitable transparent ecosystem.

Language: Английский

Trend Amplification or Suppression: The Dual Role of AI in Influencing Viral Content DOI Creative Commons

Sunil Patil,

Aashish Shashikant Jani,

Sukanya Konatam

et al.

Published: Nov. 30, 2024

Artificial intelligence (AI) plays a dual role in amplifying and suppressing trends on digital platforms, profoundly shaping public discourse societal norms.Social media platforms like TikTok Facebook utilize AI-driven recommendation algorithms to promote engaging content while deploying moderation systems suppress harmful or non-compliant material.This paper examines the mechanisms behind these processes, analyzing their impact user behavior, cultural narratives, political discourse.Through case studies of Facebook, it highlights ethical concerns, including algorithmic bias, lack transparency, marginalization dissenting minority voices.The discussion integrates theoretical frameworks, such as folk theories strategic amplification, explain interplay between amplification suppression broader implications.It also evaluates regulatory efforts, European Union's Digital Services Act, emphasizes importance explainable AI (XAI), empowerment, cross-disciplinary collaboration mitigating risks.By addressing current research limitations proposing actionable recommendations for platform providers, policymakers, researchers, civil society organizations, this aims advance governance, contributing development more equitable transparent ecosystem.

Language: Английский

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