Digital Literacy & Crowdsourcing: Tackling Descriptive and Algorithmic Bias through Doing
dc.audience | Audience::Continuing Professional Development and Workplace Learning Section | |
dc.audience | Audience::Asia-Oceania Regional Division | |
dc.audience | Audience::Europe Regional Division | |
dc.audience | Audience::Latin America and the Caribbean Regional Division | |
dc.audience | Audience::Middle East and North Africa Regional Division | |
dc.audience | Audience::North America Regional Division | |
dc.audience | Audience::Sub-Saharan Africa Regional Division | |
dc.contributor.author | Jessica BrodeFrank | |
dc.coverage.spatial | United States of America | |
dc.date.accessioned | 2025-07-27T13:06:10Z | |
dc.date.available | 2025-07-27T13:06:10Z | |
dc.date.issued | 2025-07-27 | |
dc.description.abstract | This 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.uri | https://2025.ifla.org/ | |
dc.identifier.uri | https://repository.ifla.org/handle/20.500.14598/4260 | |
dc.language.iso | en | |
dc.publisher | International Federation of Library Associations and Institutions (IFLA) | |
dc.relation.ispartofseries | World Library and Information Congress (WLIC) ; 2025 - Astana, Kazakhstan - Uniting Knowledge, Building the Future | |
dc.rights.holder | Jessica BrodeFrank | |
dc.rights.license | CC BY 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Artificial intelligence | |
dc.subject | Community | |
dc.subject | Digital literacy | |
dc.title | Digital Literacy & Crowdsourcing: Tackling Descriptive and Algorithmic Bias through Doing | |
dc.type | Article | |
dc.type | Events Material | |
ifla.Unit | Section::Continuing Professional Development and Workplace Learning Section | |
ifla.Unit | Regional Division::Asia-Oceania Regional Division | |
ifla.Unit | Regional Division::Europe Regional Division | |
ifla.Unit | Regional Division::Latin America and the Caribbean Regional Division | |
ifla.Unit | Regional Division::Middle East and North Africa Regional Division | |
ifla.Unit | Regional Division::North America Regional Division | |
ifla.Unit | Regional Division::Sub-Saharan Africa Regional Division | |
ifla.oPubId | 0 |