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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (1)

Impact assessment and ethical/legal guidance handbook

Report about ethical and legal regulatory standards. Including an ethical and legal guidance handbook based on an integrated ethical, legal, and socio-economic impact assessment of TWONs and

Websites, patent fillings, videos etc. (1)

Website

Public Project Website set up and released, using a .eu domain and the project acronym as part of the domain name, including a finalized version of the project logo.

Pubblicazioni

Conference proceedings (6)

Emergent Behaviors from LLM-Agent Simulations

Autori: Adrian Mladenic Grobelnik,Faizon Zaman, Jofre Espigule-Pons, Marko Grobelnik
Pubblicato in: Data Mining and Data Warehouses - SiKDD : Information Society - IS 2023 : proceedings of the 26th international multiconference, 2023, ISSN 2630-371X
Editore: SiKDD : Information Society - IS 2023

Classification of Sparse and Irregularly Sampled Time Series with Convolutional Neural Networks

Autori: Buza, Krisztian Antal
Pubblicato in: 2023
DOI: 10.5281/zenodo.8186573

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

Time Series Forecasting with Distortion-Aware Convolutional Neural Networks

Autori: Buza, Krisztian Antal
Pubblicato in: 2023
DOI: 10.5281/zenodo.8186596

Demokratiegefährdende Plattform-Mechanismen–Erkennen, Verstehen, Bekämpfen.

Autori: Bezzaoui, Isabel; Nevena Nikolajevic, and Jonas Fegert
Pubblicato in: KI| Konflikte| Konventionen–PolKomm2023, 2023
Editore: Karlsruher Institut für Technologie (KIT)
DOI: 10.5445/IR/1000161914

Peer reviewed articles (5)

Integrating European contexts and needs into WHO guiding principles on online mental health content for young people: five recommendations.

Autori: Helena Ludwig-Walz, Martin Bujard, Jonas Fegert & Jörg M. Fegert
Pubblicato in: European Child & Adolescent Psychiatry, 2024, ISSN 1435-165X
Editore: Springer
DOI: 10.1007/s00787-024-02566-9

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

CERN for AI: a theoretical framework for autonomous simulation-based artificial intelligence testing and alignment

Autori: Ljubiša Bojić, Matteo Cinelli, Dubravko Ćulibrk & Boris Delibašić
Pubblicato in: European Journal of Futures Research, 2024, ISSN 2195-2248
Editore: Springer Nature
DOI: 10.1186/s40309-024-00238-0

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

Digital Democracy: A Wake-Up Call – How IS Research Can Contribute to Strengthening the Resilience of Modern Democracies

Autori: Weinhardt, C.; Fegert, J.; Hinz, O.; Aalst, W. M. P. van der
Pubblicato in: Business & Information Systems Engineering, 2024, ISSN 2363-7005
Editore: Springer
DOI: 10.1007/S12599-024-00862-X