Journal of new advances in English Language Teaching and Applied Linguistics

Journal of new advances in English Language Teaching and Applied Linguistics

Artificial Intelligence in Critical Media Literacy: Enhancing Bias Detection, News Evaluation, Algo-Rithm Understanding

Document Type : Original Article

Author
Shahriar Jalili
Department of English, IsG.C., Islamic Azad University, Islamabad Gharb,
10.22034/jeltal.2026.8.1.11
Abstract
This study examines the impact of AI-enhanced critical media literacy training on English as a Foreign Language (EFL) learners’ ability to identify implicit bias, evaluate news accuracy, and critically analyze AI-generated digital content. Using a mixed methods design, the study combined quantitative assessments and qualitative interviews to evaluate a six-week interven-tion that integrated instructor-led instruction with AI-based analytical tools. Findings showed significant gains in bias detection and news verification skills, as well as higher learner moti-vation and critical awareness. In contrast, improvement in algorithmic awareness was limited, indicating the need for more targeted instruction in this area. Overall, the results suggest that AI can effectively support the development of critical media literacy in EFL settings. The study also highlights the importance of incorporating AI literacy into language education cur-ricula. Implications for theory, classroom practice, and future research are discussed, particu-larly for preparing learners to navigate increasingly complex digital information environments effectively.
Keywords
AI literacy
Artificial Intelligence
Digital media education
Educational technology
media literacy
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Journal of new advances in English Language Teaching and Applied Linguistics
Volume 8, Issue 1
June 2026
Pages 255-280

  • Receive Date 24 January 2026
  • Revise Date 13 March 2026
  • Accept Date 24 March 2026