AI for Citizen Intelligent Coaching against Disinformation

Deliverables

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

Publications

AI to Fight Disinformation: a Living Lab Approach

Author(s): Aline Duelen, Wendy Van den Broeck, Iris Jennes, Sissel Fibecker Ladegaard, Marie Hoff, Nicklas Bang Bådum
Published in: Proceedings of the OpenLivingLab Days Conference 2023, 2023
Publisher: ENoLL / VUB

FORECAST2023: A Forecast and Reasoning Corpus of Argumentation Structures

Author(s): Kamila Górska, John Lawrence, Chris Reed
Published in: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Issue 2024.lrec-main.652, 2024
Publisher: LRA and ICCL

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

Author(s): Ramon Ruiz-Dolz, John Lawrence
Published in: Proceedings of the 10th Workshop on Argument Mining, 2023
Publisher: 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

Author(s): Aline Duelen, Iris Jennes, Wendy Van den Broeck
Published in: IAMCR 2023 Conference, 2023
Publisher: VUB

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

Author(s): Ramon Ruiz-Dolz, Stella Heras, Ana Garcia
Published in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Publisher: 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

Author(s): Ramon Ruiz-Dolz, Javier Sanchez
Published in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Publisher: 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

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

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

Author(s): Aline Duelen, Iris Jennes, Wendy Van den Broeck
Published in: IMX '24: Proceedings of the 2024 ACM International Conference on Interactive Media Experiences, 2024
Publisher: Association for Computing Machinery
DOI: 10.1145/3639701.366364

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

Author(s): George Christou, Trisha Meyer, Rosanna Fanni
Published in: Journal of European Integration, 2024, ISSN 0703-6337
Publisher: 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

Author(s): Andrea Tomassi, Andrea Falegnami, Elpidio Romano
Published in: PLOS ONE, Issue 19, 2024, ISSN 1932-6203
Publisher: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0303183

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

Author(s): Ana Fernández Inguanzo
Published in: IFIP Advances in Information and Communication Technology, Privacy and Identity Management, 2023, ISSN 1868-422X
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-31971-6_11

Protocol Switching in a Multi-Agent Dialogue System

Author(s): Nicole Orr, John Lawrence
Published in: Frontiers in Artificial Intelligence and Applications, Computational Models of Argument, 2024
Publisher: IOS Press
DOI: 10.3233/FAIA240321

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

Author(s): Ioanna Patsioti and Giannis Stamatellos
Published in: 2023
Publisher: The Prometheus Trust, Chepstow, UK.

Deliverables

Publications

Share this page

Download