Author: Vikas Kumar
Abstract
This paper examines the evolving landscape of media literacy education in the age of artificial intelligence, analyzing theoretical frameworks, empirical evidence on intervention effectiveness, the emerging frontier of algorithmic and AI literacy, and the policy conditions required for effective population-level implementation. Drawing on foundational scholarship from Buckingham (2003, 2019), Hobbs (2010), Kellner and Share (2019), and Mihailidis (2018), and synthesizing recent meta-analytic evidence including Huang et al.’s (2024) analysis of 49 studies and Livingstone et al.’s (2023) systematic review, the paper demonstrates that well-designed media literacy interventions produce meaningful improvements in misinformation resilience while identifying significant gaps between demonstrated skill improvements and documented democratic participation outcomes. The analysis examines Finland’s sustained first-place ranking on the European Media Literacy Index as evidence that comprehensive, cross-curricular, institutionally embedded approaches can achieve population-level effects, while identifying the barriers to replicating such approaches in diverse global contexts. The paper evaluates emerging AI literacy frameworks including the EC-OECD AILit initiative and UNESCO’s MIL guidance for generative AI and proposes that effective media literacy education must integrate algorithmic literacy, AI literacy, data literacy, and civic engagement within culturally responsive pedagogical frameworks.
Keywords: media literacy, AI literacy, algorithmic literacy, digital citizenship, critical thinking, media education, information literacy, democratic participation, misinformation resilience, Finland model.
