Digital meets Culture https://www.digitalmeetsculture.net/article/from-presence-to-prominence-how-can-computer-vision-widen-the-evidence-base-around-on-screen-representation/ Export date: Tue Feb 11 5:25:55 2025 / +0000 GMT |
From presence to prominence: how can computer vision widen the evidence base around on-screen representation![]() ![]() The organization is exploring the potential in its archive of over 2.4 million television and radio broadcasts as a dataset to train algorithms – the BoB archive – available for research purposes, particularly in the field of Artificial Intelligence. At this purpose, it is currently conducting a pilot project in collaboration with Nesta to investigate the challenges and opportunities related to using the BoB archive to apply machine learning to answer different research queries. The project – led by Raphael Leung and Cath Sleeman (Nesta) – analyses a sample of the BoB archive to explore how computer vision can be used to study diversity and representation on British TV, with a focus on gender inequality. The three pieces of work in this research series are: Part one: Gaps in the evidence base Part two: A framework for measuring on-screen Part three: An illustrative demo measuring prominence of TV character The blog series reporting the first findings of the project is available here. Learning on Screen website. Creative Industries website. |