Vol.14, No.4, November 2025.                                                                                                                                                                          ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

 

Digital Media and Public Perception: Analysing Trust in War Reporting and Information Bias

 

Marija Gombar

 

© 2025 Marija Gombar, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 14, Issue 4, Pages 3503-3513, ISSN 2217-8309, DOI: 10.18421/TEM144-56, November 2025.

 

Received: 01 February 2025.
Revised: 28 August 2025.
Accepted: 22 September 2025.
Published: 27 November 2025.

 

Abstract:

 

Digital media are crucial in shaping public perception of war reporting and media credibility. With the rise of online platforms, concerns about information bias and media trust have intensified. This study examines the impact of digital media consumption on trust in war reporting and identifies key factors that influence media scepticism. A structured survey of 255 respondents, analysed using Chi-square, ANOVA, and Pearson correlation, reveals a significant link between media exposure, education level, and perceived media manipulation. Results show that frequent news consumers exhibit more significant scepticism toward media credibility, while individuals exposed to international media express lower trust in domestic war reporting. Higher education level is associated with a stronger perception of media manipulation. This study presents the Adaptive Crisis Intelligence System (ACIS) in response to these challenges. This advanced AI-driven framework integrates real-time verification, blockchain-based fact-checking, and adaptive risk assessment. Through machine learning and decentralised verification mechanisms, ACIS aims to enhance media credibility and reduce the spread of digital misinformation. The findings of this research contribute to the broader academic discourse on media trust and crisis intelligence, underscoring the need for technological solutions to strengthen media trust during times of crisis.

 

Keywords – Artificial Intelligence, crisis communication, media credibility, misinformation, war reporting.

 

-----------------------------------------------------------------------------------------------------------

Full text PDF >  

-----------------------------------------------------------------------------------------------------------

 


Copyright © 2025 UIKTEN
Copyright licence: All articles are licenced via Creative Commons CC BY-NC-ND 4.0 licence