Iranian Journalists' Perceptions of AI in Journalism

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-31
DOI
https://doi.org/10.5281/zenodo.17285685
Primary Topic
Water Quality and Resources Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Iranian Journalists' Perceptions of AI in Journalism

Zenodo (CERN European Organization for Nuclear Research)
Water Quality and Resources Studies
article

Iranian Journalists' Perceptions of AI in Journalism

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Aerospace Research Institute (IR)
Gender equality
Openalex Percentile: Top 45%
Water Quality and Resources Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Iranian Journalists' Perceptions of AI in Journalism · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS