
Capturing the Digital Footprints of Video Game Play
We’re developing an open source method of collecting behavioural video game data, to allow for rigorous science without relying on direct collaboration with industry.
We’re developing an open source method of collecting behavioural video game data, to allow for rigorous science without relying on direct collaboration with industry.
The emergence of AI image generation tools raises questions about their impact on creative professionals. This project seeks to work with professional photographers to explore the impact of this technology on their occupational legitimacy.
The shift to cloud represents a reversal of the 1980s personal computing revolution: computation is moving from personal devices back into large, centralized facilities. This project seeks to understand the economic drivers of this reversal.
With mobile devices ubiquitous among young people, it is not surprising that parents are increasingly turning to technology for help in childcare. This project examines monitoring technologies and how parents use them as part of child supervision.
This project seeks to understand how citizens listen and speak to public institutions, and how alternative AI-based models and framing might encourage democratic communication.
This project aims to reveal the determinants of success in entrepreneurship, startups and innovation ecosystems using data science and qualitative research methods.
This project explores the role that fairness standards, broadly understood, can play in mitigating societal biases from LLMs.
This project seeks to explore the attitudes of platform companies and AI start-ups around AI, news and journalism, particularly how the power relationships between the AI sector and publishers impacts the production and circulation of news.
This project explores the process of creating new or altered content and sharing that via the web, often known as modding. In particular, it asks how modding changes the relationship between work and play in video games, and how AI is affecting this.
This project uses machine learning techniques to model technical trends in internet shutdown behaviours, and positions these technical developments within broader censorship activities, and the associated deterioration of civil and political rights.
This project seeks to assess the persuasiveness of AI-generated news stories in the context of climate change by comparing in an online experiment how persuasive such news stories are compared to news stories written by humans.
The aim of this project is to develop an AI-enhanced tool that integrates Large Language Models and social science theory for the rapid detection of conspiracy theories and provide insights to governments and policymakers on combatting such theories.