Department of Spatial Planning, Shaykh Baha al-din Architectural and Environmental Studies Research Institute, Tehran, Iran.
International Journal of Science and Research Archive, 2025, 16(02), 1127-1139
Article DOI: 10.30574/ijsra.2025.16.2.2401
Received on 07 July 2025; revised on 20 August 2025; accepted on 22 August 2025
This study investigates Iranian journalists’ perceptions of artificial intelligence in the future of journalism, focusing on its potential to enhance professional effectiveness, replace human roles, and affect the credibility of journalistic content. A cross-sectional survey was conducted with 203 journalists from major national media outlets in Iran, using a structured questionnaire to collect demographic data and attitudinal measures. Data were analyzed through descriptive statistics, Pearson correlation, multiple linear regression, and path analysis. Results reveal that demographic factors—including gender, age, educational attainment, years of professional experience, employment type, and media sector—do not significantly influence journalists’ views on AI’s utility, threat to employment, or content quality. Although minor trends were observed, such as slightly lower enthusiasm for AI among more experienced journalists, these associations were not statistically significant. The findings suggest a convergence of opinion across demographic groups, likely shaped by shared professional norms and exposure to industry discourse on technological change. This research contributes context-specific evidence from a non-Western media environment, offering insights for policymakers, newsroom managers, and journalism educators aiming to integrate AI ethically and effectively into journalistic practice.
Artificial Intelligence; Journalism; Iran; Technology Adoption; Media Perceptions
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Fatemeh Dastyar. Iranian Journalists’ Perceptions of AI in Journalism. International Journal of Science and Research Archive, 2025, 16(02), 1127-1139. Article DOI: https://doi.org/10.30574/ijsra.2025.16.2.2401.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0







