Angus R. Williams

According to our database, Angus R. Williams authored at least 5 papers between 2023 and 2024.

Collaborative distances:

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

2024

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

CoRR, 2024

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

Ryan Sze-Yin Chan, Federico Nanni, Edwin Brown, Ed Chapman, Angus R. Williams, Jonathan Bright, Evelina Gabasova

CoRR, 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

Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data.

Leonardo Castro-Gonzalez, Yi-Ling Chung, Hannak Rose Kirk, John Francis, Angus R. Williams, Pica Johansson, 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