Optimising News Recommenders Beyond Accuracy

news
recommendation system
deep learning
natural language processing
A state-of-the-art neural news recommender designed to go beyond accuracy by promoting both relevance and diversity to reduce filter bubbles. Built as the final MSc project…
Mar 31, 2025

Multimodal Bias Classification in News

news
deep learning
classification
regression
A deep learning system that predicts political bias in news articles by combining textual content with visual cues. This project demonstrated that integrating image features…
Mar 10, 2025

Sustainable Finance under Uncertainty

bayesian probability
finance
A decision-support tool for green investment using a custom Bayesian Network. It modelled how environmental risk, regulatory signals, and market indicators interact to shape…
Jan 6, 2025

Political Bias Classification with Dirichlet Priors

news
natural language processing
classification
machine learning
An interpretable classifier to detect political leanings in online news, using the Log-Odds Ratio with Informative Dirichlet Prior (LOR-IDP) — a method designed for…
Jan 6, 2025

Measuring Gaps in Empathy in UK News

news
natural language processing
analysis
Analysis of 4,000+ UK news articles to uncover disparities in how Palestinian and Israeli casualties are reported.
Sep 16, 2024

Visualising Urban Change and Symbolic Capital in London

geospatial
data viz
analysis
Mapping of the transformation of London’s high streets in the wake of traffic-calming policies. Combined business listings, census data, and Voronoi clustering to explore…
Sep 16, 2024
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