AI for Citizen Intelligent Coaching against Disinformation

Informations projet

TITAN

N° de convention de subvention: 101070658

DOI

10.3030/101070658

Date de signature de la CE 22 Juin 2022

Date de début 1 Septembre 2022

Date de fin 30 Novembre 2025

Financé au titre de

• Digital, Industry and Space

Coût total

€ 5 734 395,00

Contribution de l’UE

€ 5 734 395,00

Coordonné par

ENGINEERING - INGEGNERIA INFORMATICA SPA
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (6)

D6.1 Impact Realisation Roadmap

Report that aligns and coordinates all WP6 activities

D5.1 Pilot scenarios, operational planning and evaluation methodology

Report detailing the pilot scenario’s, the common operational planning for all the TITAN use cases piloting as well as the framework to monitor pilot progress. It will also provide the framework for evaluation of the citizen experience and citizen adoption of TITAN for the two testing stages.

D4.1: TITAN Citizen Intelligent Coaching Platform Architecture and 1st release incl. Training Datasets

D4.1 will report the specification of the first TITAN platform release, including guidelines and constraints defined to provide consistent development and integration. It will also report the first training datasets released.

D2.2: TITAN Methodologies and models

This report will detail the results developed in T2.3. Delivered at M16 to inform the development of TITAN first release, it will evolve receiving feedback from the pilots and WP4 activities (internal release at M30).

D2.1: TITAN Socio-technical Framework and User Needs Analysis

This deliverable will present the results of T21 groundwork research for sociocognitive sociopolitical and stateoftheart AI technologies against disinformation and of T22 user needs analysis in collaboration

D3.1: Report on citizen co-created design principles for TITAN Conceptual Architecture

This deliverable will report on the activities and results of T31 and T33

Other (2)

D1.3: Template and guidance for legal and ethical impact assessment

Collaborative questionnaire and guidance manual developed on basis of T21 for assessing legal and ethical impacts of TITAN activities

D1.4: Report on legal and ethical impact assessment

This report will transparently report on legal and ethical selfassessment and the independent activities of the External Ethics Advisory Board It will be delivered on M12 and will be updated every 12 months

Publications

Conference proceedings (7)

AI to Fight Disinformation: a Living Lab Approach

Auteurs: Aline Duelen, Wendy Van den Broeck, Iris Jennes, Sissel Fibecker Ladegaard, Marie Hoff, Nicklas Bang Bådum
Publié dans: Proceedings of the OpenLivingLab Days Conference 2023, 2023
Éditeur: ENoLL / VUB

FORECAST2023: A Forecast and Reasoning Corpus of Argumentation Structures

Auteurs: Kamila Górska, John Lawrence, Chris Reed
Publié dans: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Numéro 2024.lrec-main.652, 2024
Éditeur: LRA and ICCL

Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models

Auteurs: Ramon Ruiz-Dolz, John Lawrence
Publié dans: Proceedings of the 10th Workshop on Argument Mining, 2023
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/2023.argmining-1.1

Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks

Auteurs: Ramon Ruiz-Dolz, Stella Heras, Ana Garcia
Publié dans: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/2023.emnlp-main.368

VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining

Auteurs: Ramon Ruiz-Dolz, Javier Sanchez
Publié dans: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/2023.emnlp-main.128

Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain

Auteurs: Ramon Ruiz-Dolz, Chr-Jr Chiu, Chung-Chi Chen, Noriko Kando, Hsin-Hsi Chen
Publié dans: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024
Éditeur: LRA and ICCL

Socratic AI Against Disinformation: Improving Critical Thinking to Recognize Disinformation Using Socratic AI

Auteurs: Aline Duelen, Iris Jennes, Wendy Van den Broeck
Publié dans: IMX '24: Proceedings of the 2024 ACM International Conference on Interactive Media Experiences, 2024
Éditeur: Association for Computing Machinery
DOI: 10.1145/3639701.366364

Peer reviewed articles (2)

The European union: assessing global leadership through actorness in artificial intelligence

Auteurs: George Christou, Trisha Meyer, Rosanna Fanni
Publié dans: Journal of European Integration, 2024, ISSN 0703-6337
Éditeur: Informa UK Limited
DOI: 10.1080/07036337.2024.2377200

Mapping automatic social media information disorder. The role of bots and AI in spreading misleading information in society

Auteurs: Andrea Tomassi, Andrea Falegnami, Elpidio Romano
Publié dans: PLOS ONE, Numéro 19, 2024, ISSN 1932-6203
Éditeur: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0303183

Book chapters (2)

Privacy and Data Protection in the Era of Recommendation Systems: A Postphenomenological Approach

Auteurs: Ana Fernández Inguanzo
Publié dans: IFIP Advances in Information and Communication Technology, Privacy and Identity Management, 2023, ISSN 1868-422X
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-31971-6_11

Protocol Switching in a Multi-Agent Dialogue System

Auteurs: Nicole Orr, John Lawrence
Publié dans: Frontiers in Artificial Intelligence and Applications, Computational Models of Argument, 2024
Éditeur: IOS Press
DOI: 10.3233/FAIA240321