The Impact of Artificial Intelligence on Journalism and News Media

This research examines the impact of artificial intelligence on journalism and news media, aiming to analyze the applications and challenges of this technology in the field. To achieve this goal, the opinions and experiences of experts and practitioners in the media and technology sectors were studied. The statistical population includes journalists, editors, media analysts, and researchers in the field of artificial intelligence who work in news organizations, universities, and research institutions. A sample was selected using purposeful sampling, consisting of 50 relevant experts and practitioners. Data collection tools included structured questionnaires and semistructured interviews. For data analysis, both descriptive statistical methods and qualitative content analysis were employed. Quantitative data were analyzed using statistical software, while qualitative data were extracted through coding and categorization. The findings indicate that artificial intelligence can improve efficiency and accuracy in journalism, and it plays a positive role in content innovation. However, challenges such as ethical issues and algorithmic biases were also identified. The final results suggest that the use of artificial intelligence can bring about a fundamental transformation in the media industry, but this transformation requires careful planning and intelligent management.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-28
DOI
https://doi.org/10.5281/zenodo.15297843
Primary Topic
Scientific Research and Technology
Type
article
Field-Weighted Citation Impact
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article

The Impact of Artificial Intelligence on Journalism and News Media

Zenodo (CERN European Organization for Nuclear Research)
Scientific Research and Technology
article

The Impact of Artificial Intelligence on Journalism and News Media

article en

Abstract

This research examines the impact of artificial intelligence on journalism and news media, aiming to analyze the applications and challenges of this technology in the field. To achieve this goal, the opinions and experiences of experts and practitioners in the media and technology sectors were studied. The statistical population includes journalists, editors, media analysts, and researchers in the field of artificial intelligence who work in news organizations, universities, and research institutions. A sample was selected using purposeful sampling, consisting of 50 relevant experts and practitioners. Data collection tools included structured questionnaires and semistructured interviews. For data analysis, both descriptive statistical methods and qualitative content analysis were employed. Quantitative data were analyzed using statistical software, while qualitative data were extracted through coding and categorization. The findings indicate that artificial intelligence can improve efficiency and accuracy in journalism, and it plays a positive role in content innovation. However, challenges such as ethical issues and algorithmic biases were also identified. The final results suggest that the use of artificial intelligence can bring about a fundamental transformation in the media industry, but this transformation requires careful planning and intelligent management.

Zenodo (CERN European Organization for Nuclear Research)
Islamic Azad University, Science and Research Branch (IR)
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Scientific Research and Technology
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