mlsanityData to 14 Oct 2026

AI as a Tool for Fair Journalism: Case Studies from Malta

arXiv 2407.15316 ↗First posted 8 Jul 2024cs.CY cs.AIcited by 4

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Abstract (arXiv)

In today`s media landscape, the role of Artificial Intelligence (AI) in shaping societal perspectives and journalistic integrity is becoming increasingly apparent. This paper presents two case studies centred on Malta`s media market featuring technical novelty. Despite its relatively small scale, Malta offers invaluable insights applicable to both similar and broader media contexts. These two projects focus on media monitoring and present tools designed to analyse potential biases in news articles and television news segments. The first project uses Computer Vision and Natural Language Processing techniques to analyse the coherence between images in news articles and their corresponding captions, headlines, and article bodies. The second project employs computer vision techniques to track individuals` on-screen time or visual exposure in news videos, providing queryable data. These initiatives aim to contribute to society by providing both journalists and the public with the means to identify biases. Furthermore, we make these tools accessible to journalists to improve the trustworthiness of media outlets by offering robust tools for detecting and reducing bias.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 19 of its 39 references that are in the map. First posted on arXiv 8 Jul 2024.

Builds on

19 of 39 references.

References · 19

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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.

  1. 2024"It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industrycited by 5
  2. 2025A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfacescited by 1
  3. 2025Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentationcited by 1
  4. 2026A Hybrid Deterministic Framework for Named Entity Extraction in Broadcast News Videocited by 0