This article presents a dataset developed under the EU H2020 SPICE (Social Cohesion, Participation, and Inclusion through Cultural Engagement) project. The dataset serves as a tool for identifying and examining communities that emerge from citizens' interactions with cultural heritage, capturing key representations of individuals and groups to reveal unexpected connections. An example from a SPICE case study at GAM (Galleria Civica d'Arte Moderna e Contemporanea) in Turin, Italy, illustrates the dataset's structure, focusing on the interpretation of artworks, with particular attention to the deaf community's emotional responses. The dataset primarily organizes diverse perspectives, values, and emotions expressed through non-transitive relationships. Initially designed for analyzing narrative identities within museum audiences and communities, the dataset has potential applications in education, social work, and community building.

Developing a Comprehensive Dataset for Enhancing Social Inclusion and Cohesion through Citizen Curation in Cultural Heritage

Striani M.
Membro del Collaboration Group
;
Lieto A.
Membro del Collaboration Group
;
Damiano R.
Membro del Collaboration Group
2024-01-01

Abstract

This article presents a dataset developed under the EU H2020 SPICE (Social Cohesion, Participation, and Inclusion through Cultural Engagement) project. The dataset serves as a tool for identifying and examining communities that emerge from citizens' interactions with cultural heritage, capturing key representations of individuals and groups to reveal unexpected connections. An example from a SPICE case study at GAM (Galleria Civica d'Arte Moderna e Contemporanea) in Turin, Italy, illustrates the dataset's structure, focusing on the interpretation of artworks, with particular attention to the deaf community's emotional responses. The dataset primarily organizes diverse perspectives, values, and emotions expressed through non-transitive relationships. Initially designed for analyzing narrative identities within museum audiences and communities, the dataset has potential applications in education, social work, and community building.
2024
3rd Workshop on Artificial Intelligence for Cultural Heritage, IAI4CH 2024
ita
2024
CEUR Workshop Proceedings
CEUR-WS
3865
66
76
https://ceur-ws.org/Vol-3865/10_paper.pdf
Citizen Curation; Community Modelling; Cultural Heritage; Dataset for CH; Museum Interaction; Social Cohesion
Striani M.; Diaz-Agudo B.; Jimenez-Diaz G.; Lieto A.; Damiano R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2081193
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