AI for Citizen Intelligent Coaching against Disinformation

Leistungen

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

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

Veröffentlichungen

AI to Fight Disinformation: a Living Lab Approach

Autoren: Aline Duelen, Wendy Van den Broeck, Iris Jennes, Sissel Fibecker Ladegaard, Marie Hoff, Nicklas Bang Bådum
Veröffentlicht in: Proceedings of the OpenLivingLab Days Conference 2023, 2023
Herausgeber: ENoLL / VUB

FORECAST2023: A Forecast and Reasoning Corpus of Argumentation Structures

Autoren: Kamila Górska, John Lawrence, Chris Reed
Veröffentlicht in: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Ausgabe 2024.lrec-main.652, 2024
Herausgeber: LRA and ICCL

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

Autoren: Ramon Ruiz-Dolz, John Lawrence
Veröffentlicht in: Proceedings of the 10th Workshop on Argument Mining, 2023
Herausgeber: Association for Computational Linguistics
DOI: 10.18653/v1/2023.argmining-1.1

To believe or not to believe? Investigating factors that play a role in audiences’ critical thinking process when evaluating the trustworthiness of online news and information

Autoren: Aline Duelen, Iris Jennes, Wendy Van den Broeck
Veröffentlicht in: IAMCR 2023 Conference, 2023
Herausgeber: VUB

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

Autoren: Ramon Ruiz-Dolz, Stella Heras, Ana Garcia
Veröffentlicht in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Herausgeber: 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

Autoren: Ramon Ruiz-Dolz, Javier Sanchez
Veröffentlicht in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Herausgeber: 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

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

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

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

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

Autoren: George Christou, Trisha Meyer, Rosanna Fanni
Veröffentlicht in: Journal of European Integration, 2024, ISSN 0703-6337
Herausgeber: 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

Autoren: Andrea Tomassi, Andrea Falegnami, Elpidio Romano
Veröffentlicht in: PLOS ONE, Ausgabe 19, 2024, ISSN 1932-6203
Herausgeber: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0303183

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

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

Protocol Switching in a Multi-Agent Dialogue System

Autoren: Nicole Orr, John Lawrence
Veröffentlicht in: Frontiers in Artificial Intelligence and Applications, Computational Models of Argument, 2024
Herausgeber: IOS Press
DOI: 10.3233/FAIA240321

Meson and Mesotes: Plotinian and Aristotelian Perspectives on the Soul's Inner Privacy and Virtue Ethics

Autoren: Ioanna Patsioti and Giannis Stamatellos
Veröffentlicht in: 2023
Herausgeber: The Prometheus Trust, Chepstow, UK.

Leistungen

Veröffentlichungen

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