TWin of Online Social Networks

Informazioni relative al progetto

TWON

ID dell’accordo di sovvenzione: 101095095

DOI 10.3030/101095095

Data della firma CE 6 Dicembre 2022

Data di avvio 1 Aprile 2023

Data di completamento 31 Marzo 2026

Finanziato da

• Culture, creativity and inclusive society

Costo totale € 2 989 758,13

Contributo UE € 2 989 758,13

Coordinato da

UNIVERSITEIT VAN AMSTERDAM
Netherlands

Pubblicazioni

Peer reviewed articles (2)

AI alignment: Assessing the global impact of recommender systems.

Autori: Bojic, Ljubisa
Pubblicato in: Futures, Numero 160, 2024, ISSN 0016-3287
Editore: Elsevier Ltd.
DOI: 10.1016/j.futures.2024.103383

Profiling the barriers to the spreading of news using news headlines

Autori: Abdul Sittar, Dunja Mladenić, Marko Grobelnik
Pubblicato in: Frontiers in artificial intelligence, Numero 6, 2023, ISSN 2624-8212
Editore: Frontiers
DOI: 10.3389/frai.2023.1225213

Conference proceedings (2)

Refining Deliberative Standards for Online Political Communication: Introducing a Summative Approach to Designing Deliberative Recommender Systems

Autori: Sjoerd B. Stolwijk, Corinna Oschatz, Michael Heseltine, Damian Trilling
Pubblicato in: Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023, ISSN 1613-0073
Editore: CEUR

An approach to creating a time-series dataset for news propagation: Ukraine-war case study

Autori: Abdul Sittar, Dunja Mladenić
Pubblicato in: Data Mining and Data Warehouses - SiKDD : Information Society - IS 2023, Numero 9, 2023, ISSN 2630-371X
Editore: SiKDD : Information Society