Spektrum Iran

The Transformative Role of Artificial Intelligence in Media Data Analysis for Crisis Management

Articles in Press

Document Type : Original Research Paper

Authors

Hatef Pourrashidi Alibigloo 1
Mehran Samadi 2

1 Department of Communication, Faculty of Social Science, University of Religions and Denominations, Qom, Iran

2 Department of Communications, Islamic Azad University, Tabriz Branch, Tabriz, Iran

10.22034/spektrum.2025.563353.1051
Abstract
During times of crisis, the volume and speed of media data increase, making traditional analysis methods inadequate for information management and public awareness. Artificial intelligence, with its automation capabilities, sentiment analysis, crisis identification, and communication strategy provision, assists organizations in managing crises more effectively. This article, presented in a documentary style, seeks to explore the function of artificial intelligence in media data analysis and management during a crisis and how it enhances crisis management effectiveness in the information age. The theory utilized in this context is machine learning theory. By examining the challenges in media data analysis and crisis management, the article discusses the role of artificial intelligence in automating media monitoring, sentiment analysis, pattern and anomaly identification, and news trend prediction. It also delves into how AI can enhance crisis communication, detect misinformation, and offer more effective responses. Finally, the article addresses the challenges and limitations of using AI in media data analysis and crisis management, such as data bias, algorithmic transparency issues, and ethical considerations.During times of crisis, the volume and speed of media data increase, making traditional analysis methods inadequate for information management and public awareness. Artificial intelligence, with its automation capabilities, sentiment analysis, crisis identification, and communication strategy provision, assists organizations in managing crises more effectively. This article, presented in a documentary style, seeks to explore the function of artificial intelligence in media data analysis and management during a crisis and how it enhances crisis management effectiveness in the information age. The theory utilized in this context is machine learning theory.

Keywords

Artificial Intelligence
Media Data Analysis
Crisis Management
Crisis Communication
Machine Learning

Subjects

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