Liam Burke

According to our database, Liam Burke authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Journalists are most likely to receive abuse: analysing online abuse of UK public figures across sport, politics, and journalism on Twitter.

Liam Burke-Moore, Angus R. Williams, Jonathan Bright

EPJ Data Sci., December, 2025

Prompto: An open source library for asynchronous querying of LLM endpoints.

Ryan Sze-Yin Chan, Federico Nanni, Angus Redlarski Williams, Edwin Brown, Liam Burke-Moore, Ed Chapman, Kate Onslow, Tvesha Sippy, Jonathan Bright, Evelina Gabasova

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Large language models can consistently generate high-quality content for election disinformation operations.

Angus R. Williams, Liam Burke-Moore, Ryan Sze-Yin Chan, Florence E. Enock, Federico Nanni, Tvesha Sippy, Yi-Ling Chung, Evelina Gabasova, Kobi Hackenburg, Jonathan Bright

CoRR, 2024

2023

DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures.

Hannah Rose Kirk, Angus R. Williams, Liam Burke, Yi-Ling Chung, Ivan Debono, Pica Johansson, Francesca Stevens, Jonathan Bright, Scott A. Hale

CoRR, 2023