We are building AI tools to empower the public with better analysis of the news while strengthening journalism with valuable insights.

We’re committed to keep on building more AI Tools for Fair Journalism.

Let’s work together.

Detecting Toxic Comments

Emotions and Demographics Analysis of Media Content  •  1 min read

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Emotion Detection during a Two-Person Interview

Emotions and Demographics Analysis of Media Content  •  1 min read

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Investigating the Effect of Inset Emojis in News Content

Analysis of Different Visual Configurations in News Articles  •  1 min read

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Which Image on a News Portal Attracts the Most Attention?

Analysis of Different Visual Configurations in News Articles  •  1 min read

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Exploring Visual Bias in News Content using Explainable AI (NBxAI)

Exploring Visual Bias in News Content using Explainable AI (NBxAI)  •  1 min read

The NBxAI project analyses news articles from six Maltese newspapers using advanced AI techniques. It employs named entity recognition, keyword extraction, and sentiment analysis on article text. The system also generates captions for images based on visual content and compares them with actual captions. Image-text matching is performed to assess the relevance of images to the article content.The project aims to detect potential biases by examining the relationship between article sentiment and image relevancy. Results showed varying performance across newspapers, with some displaying higher similarity scores between synthetic captions and actual content. This tool enables journalists and readers to critically evaluate the coherence and potential biases in news articles.This project is financed by Xjenza Malta through the FUSION: R&I Research Excellence Programme of 2023.

Making News Videos Queryable

News Video Analysis  •  1 min read

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Who we are

At the University of Malta's Department of AI, we have ongoing research projects that combine artificial intelligence and media studies. Dr Dylan Seychell, a lecturer in the same department, is leading this initiative. Our focus is on developing cutting-edge AI tools to analyse and understand how news and media content is created and consumed.We aim to empower journalists and the public with insights into the language, visuals, and emotions shaping today's media landscape. We believe AI can contribute to a more transparent, informed, and equitable media environment by aiding society to foster critical understanding of information.

Related Publications

AI as a Tool for Fair Journalism: Case Studies from Malta
Using Machine Learning to Investigate Potential Image Bias in News Articles