  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.
