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ZENODO
Report . 2023
License: CC BY
Data sources: Datacite
ZENODO
Report . 2023
License: CC BY
Data sources: Datacite
ZENODO
Report . 2023
License: CC BY
Data sources: Datacite
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Second Report - Our Heritage, Our Stories: Linking and Searching Community-Generated Digital Content to develop the people's national collection

Authors: Hughes, Lorna; Alexander, Marc; Barker, Hannah; Batista-Navarro, Riza; Hannaford, Ewan D; Nenandic, Goran; Willcox, Pip;

Second Report - Our Heritage, Our Stories: Linking and Searching Community-Generated Digital Content to develop the people's national collection

Abstract

Community-generated digital content (CGDC) is one of the UK's prime cultural assets. However, CGDC is currently 'critically endangered' due to technological and organisational barriers and has proven resistant to traditional methods of linking and integration. The challenge of integrating CGDC into larger archives has effectively silenced diverse community voices within our national collection. Our Heritage, Our Stories (OHOS), responds to these urgent challenges by bringing together cutting-edge approaches from cultural heritage, humanities, and computer science. Existing solutions to CGDC integration, involving bespoke interventionist activities, are expensive, time-consuming, and unsustainable at scale, while unsophisticated computational integration erases the meaning and purpose of both CGDC and its creators. Our approach is fundamentally different: our project is using innovative multidisciplinary methods, AI tools, and a co-design process to make previously unfindable and unlinkable CGDC discoverable in our virtual national collection.

Keywords

machine learning, corpus linguistics, community generated content, linguistics, community, archives, audiences

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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