Kitchen Gadgets: Newspaper Recipe Data and AI

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dc.audienceAudience::News Media Sectionen_US
dc.audienceAudience::Digital Humanities – Digital Scholarship Special Interest Groupen_US
dc.audienceAudience::Information Literacy Sectionen_US
dc.audienceAudience::Library Services to Multicultural Populations Sectionen_US
dc.contributor.authorJerome, Melissa
dc.contributor.authorTew, Sarah
dc.coverage.spatialLocation::United States of Americaen_US
dc.date.accessioned2024-06-25T09:23:08Z
dc.date.available2024-06-20
dc.date.available2024-06-25T09:23:08Z
dc.date.issued2024-05-30
dc.description.abstractRecetas de las Américas [https://recetas.domains.uflib.ufl.edu/] is a bilingual web project where users can view, browse, filter, and print recipes published between 1954 and 1960 in the newspaper, Diario las Américas (Miami, FL, USA). Launched in October 2022, the project is currently undergoing an expansion to include more than 300 recipes, all from Diario las Américas and which are available through Chronicling America, a newspaper database managed by the Library of Congress in Washington, D.C., USA. Recetas is a valuable project that calls attention to communities and contributors who have been historically underrepresented by traditional historical narratives, namely the Latin American immigrant community in Florida, particularly the Latina community, and women editors who were excluded from the newsroom and relegated to so-called “soft news” sections including “Del Hogar” where these recipes were published. The lightweight and mostly free and open-source technical infrastructures for data manipulation and website generation in the original version of Recetas follow minimal computing principles and have the potential to help facilitate multilingual digital publishing by underrepresented and under-resourced communities on historically marginalized topics. In scaling up the project, however, we are forced to confront AI’s potential to perpetuate existing inequalities and create new avenues for exclusion and elision from the historical record. In this paper, we discuss experimenting with AI tools to directly restructure, clean, and translate recipe text as well as to write Python code to perform these actions using traditional natural language processing resources. We will also present the findings and outputs from explorations of AI tools to generate PDF recipe cards and images of the recipes.en_US
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/3400
dc.language.isoenen_US
dc.publisherInternational Federation of Library Associations and Institutions (IFLA)en_US
dc.relation.ispartofseriesIFLA International News Media Conference 2024;Aarhus, Denmark, 29-31 May 2024
dc.rights.holderInternational Federation of Library Associations and Institutions (IFLA)en_US
dc.rights.licenseCC BY 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectSubject::News mediaen_US
dc.subjectSubject::Newspapersen_US
dc.subjectSubject::Artificial intelligenceen_US
dc.subjectSubject::Multilingualismen_US
dc.titleKitchen Gadgets: Newspaper Recipe Data and AIen_US
dc.typeEvents Materialsen_US
ifla.UnitUnits::Section::News Media Sectionen_US
ifla.UnitUnits::Special Interest Group::Digital Humanities – Digital Scholarship Special Interest Groupen_US
ifla.UnitUnits::Section::Information Literacy Sectionen_US
ifla.oPubId0en_US

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