Digital Literacy & Crowdsourcing: Tackling Descriptive and Algorithmic Bias through Doing

dc.audienceAudience::Continuing Professional Development and Workplace Learning Section
dc.audienceAudience::Asia-Oceania Regional Division
dc.audienceAudience::Europe Regional Division
dc.audienceAudience::Latin America and the Caribbean Regional Division
dc.audienceAudience::Middle East and North Africa Regional Division
dc.audienceAudience::North America Regional Division
dc.audienceAudience::Sub-Saharan Africa Regional Division
dc.contributor.authorJessica BrodeFrank
dc.coverage.spatialUnited States of America
dc.date.accessioned2025-07-27T13:06:10Z
dc.date.available2025-07-27T13:06:10Z
dc.date.issued2025-07-27
dc.description.abstractThis paper looks at crowdsourcing projects as a way to build trust and digital literacy with the public. As museums continue to rate as the most trusted sources for the public, the field of cultural heritage has been tasked to combat emerging information literacy needs in their communities. This session is ideal for those looking to get an introduction to crowdsourcing projects: the ethical considerations of these projects, the opportunities afforded, the investments needed, etc. It is also ideal for those looking to activate their collections in digital experiences online and onsite, specifically to teach digital literacy skills to the public. Keywords: crowdsourcing, alternative text, artificial intelligence, community engagement
dc.identifier.urihttps://2025.ifla.org/
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/4260
dc.language.isoen
dc.publisherInternational Federation of Library Associations and Institutions (IFLA)
dc.relation.ispartofseriesWorld Library and Information Congress (WLIC) ; 2025 - Astana, Kazakhstan - Uniting Knowledge, Building the Future
dc.rights.holderJessica BrodeFrank
dc.rights.licenseCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial intelligence
dc.subjectCommunity
dc.subjectDigital literacy
dc.titleDigital Literacy & Crowdsourcing: Tackling Descriptive and Algorithmic Bias through Doing
dc.typeArticle
dc.typeEvents Material
ifla.UnitSection::Continuing Professional Development and Workplace Learning Section
ifla.UnitRegional Division::Asia-Oceania Regional Division
ifla.UnitRegional Division::Europe Regional Division
ifla.UnitRegional Division::Latin America and the Caribbean Regional Division
ifla.UnitRegional Division::Middle East and North Africa Regional Division
ifla.UnitRegional Division::North America Regional Division
ifla.UnitRegional Division::Sub-Saharan Africa Regional Division
ifla.oPubId0

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