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CORDIS - EU research results
CORDIS

AI for Citizen Intelligent Coaching against Disinformation

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

D6.1 Impact Realisation Roadmap (opens in new window)

Report that aligns and coordinates all WP6 activities

D5.1 Pilot scenarios, operational planning and evaluation methodology (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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

D1.3: Template and guidance for legal and ethical impact assessment (opens in new window)

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 (opens in new window)

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 (opens in new window)

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

Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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

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