The aim of the SPICE project is to build social cohesion, both between and within citizen communities, by developing tools and methods to support citizen curation. We define citizen curation as a process in which cultural objects are used as a resource by citizens to develop their own personal interpretations. Within communities, citizens can use their interpretations to build a representation of themselves and their shared perspective on culture. Interpretations can also be used to support social cohesion across groups. In this short position paper we outline the methodologies and technologies needed to be built in order to build a recommender system of cultural objects that will implement these goals of social cohesion and inclusion.
|Title of host publication||UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||4|
|State||Published - 21 Jun 2021|
|Event||29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021 - Virtual, Online, Netherlands|
Duration: 21 Jun 2020 → 25 Jun 2020
|Name||Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization|
|Conference||29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021|
|Period||21/06/20 → 25/06/20|
Bibliographical noteFunding Information:
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement n° 870811).
© 2021 ACM.
- Community model
- Semantic Text analysis
- Social Recommender
- User Model
ASJC Scopus subject areas