Recipient organisationKing's College LondonSource-published name: King's College London
Funding£120K
PeriodSept 2025 — Sept 2029
In plain English
AI plain-English summary
The BFI National Archive holds thousands of hours of recorded UK television advertisements dating back to the 1980s, but no one has systematically catalogued them. This matters because these adverts are a vast, untapped record of consumer culture—what people bought, valued, and aspired to over decades. Without documentation, the collection is effectively invisible to researchers. The project treats adverts as "computational objects," building software that can automatically identify, extract, and contextualise them within the surrounding programming. This is as much a conceptual challenge as a technical one: the student must decide what makes an advert worth preserving as data. If successful, the project will open the collection to scholars across disciplines. Media studies could collaborate with economics, sociology, or political science to trace how consumer culture shaped major social shifts—for example, attitudes that fed into Brexit, Black Lives Matter, or responses to the COVID pandemic. The methods developed for extracting meaningful patterns from fragmented visual records will also apply to other large heritage collections, helping archives worldwide make sense of peripheral material that currently sits undocumented.
View original technical description
Over the past decades, many collections of moving images have been digitised, catalogued and preserved in various formats, at different scales, and in different archives around the world. The BFI National Archive is one of the most important collections of film and television in the world. It holds a living and expanding record of the evolution of the moving image over the past 90 years, including digital-born content across major television channels in the UK. Since the 1980s, the BFI archive has been capturing and preserving off-air television from UK public service broadcasters, including all advertisements broadcast across all main commercial PSB channels since 2016. Advertisements are the “literature of economics”, in aggregate these TV adverts are likely to be the largest collection of its kind worldwide and one of the most significant records of consumer culture in the UK over the past decade. However, this collection is fragmented and scattered across thousands of hours of digital video, and despite its cultural significance it remains entirely undocumented and therefore inaccessible. This project aims to: Define this wealth of material into a usable collection. Develop a systematic understanding of the collection as a record of consumer culture in the UK. Create the kind of documentation that opens this resource as a public record for research across disciplines and to wider audiences. The challenge to bring such collection to light is technical as much as a conceptual ? it requires the student to critically re-imagine and reshape advertisement records as computational objects. To tackle this challenge, this project adopts an interdisciplinary approach that combines interpretive frameworks in film, television and media scholarship with advanced methods in computational humanities to design a “computational lens” with which to machine-see the archive, not only to identify, extract, and catalogue the adverts, but to understand them in context, as an evolving record of social norms, values and relations, as they are expressed in UK screen culture. Opening this collection through such lens will make it possible for media studies to collaborate with other disciplines to explore the formation and impact of consumer culture in recent major socio-political events, potentially enabling new research about the wider social transformations that led to events like Brexit, the Black Lives Matter movement, the global COVID pandemic and evolving social attitudes towards climate change, for example. The student will have the opportunity to bring their own focus to identify suitable angles to explore this collection through appropriate sampling. At the same time, the new methods and tools developed for this project will impact the wider heritage sector, insofar as its institutions and preservation practices increasingly rely on large collections of highly fragmented peripheral visual records. Drawing out patterns that are useful to humanities inquiry from large collections of images will have wide applicability for cultural heritage beyond the specificity of consumer culture.
Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.
Is something wrong? Let us know