12 citations · 21 across the 4 of their papers we have counts for
4 papers · 1 filter
Large language models can consistently generate high-quality content for election disinformation operations
Angus R. Williams, Liam Burke-Moore, Ryan Sze-Yin Chan +7
Advances in large language models have raised concerns about their potential use in generating compelling election disinformation at scale. This study presents a two-part investiga…
Behind the Deepfake: 8% Create; 90% Concerned. Surveying public exposure to and perceptions of deepfakes in the UK
Tvesha Sippy, Florence Enock, Jonathan Bright +1
This article examines public exposure to and perceptions of deepfakes based on insights from a nationally representative survey of 1403 UK adults. The survey is one of the first of…
Understanding gender differences in experiences and concerns surrounding online harms: A short report on a nationally representative survey of UK adults
Florence E. Enock, Francesca Stevens, Jonathan Bright +4
Online harms, such as hate speech, misinformation, harassment and self-harm promotion, continue to be widespread. While some work suggests that women are disproportionately affecte…
Generative AI is already widespread in the public sector
Jonathan Bright, Florence E. Enock, Saba Esnaashari +3
Generative AI has the potential to transform how public services are delivered by enhancing productivity and reducing time spent on bureaucracy. Furthermore, unlike other types of…