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This is a Quantitative Study study.

September 12, 2025Open Access

Integrating Artificial Intelligence and Media Literacy: Ethical and Professional Implications for Digital Journalism

Key Points

AI adoption results in improved content accuracy by 27% and production efficiency by 34%, enhancing digital journalism.
The study highlights ethical concerns, including misinformation and algorithmic bias, jeopardizing journalistic integrity.
A quantitative survey among 150 media professionals emphasizes the necessity of integrating media literacy in AI deployment.
The proposed framework aims to balance the benefits of AI while addressing its risks through enhanced media literacy.

Abstract

This study investigates the convergence of Artificial Intelligence (AI) and media literacy, assessing their combined impact on journalistic practice and digital media production. Focusing on the Iraqi Media Network, a quantitative survey of 150 journalists, editors, and media professionals reveals that AI adoption enhances content accuracy (+27%), production efficiency (+34%), and audience engagement (+22%). However, these gains are counterbalanced by ethical risks, including misinformation, algorithmic bias, and reduced human editorial oversight. The findings highlight AI’s dual role as both an innovation driver and a potential threat to professional integrity. In response, the study proposes a context-specific framework that embeds media literacy as a moderating competency, enabling journalists to critically evaluate and ethically deploy AI tools. By positioning media literacy as an ethical safeguard, this research advances a practical model for maximizing AI’s benefits while mitigating its risks, offering both theoretical and policy-level contributions to the evolving discourse on AI in journalism.

Integrating Artificial Intelligence and Media Literacy: Ethical and Professional Implications for Digital Journalism

Key Points

Abstract

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