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CORDIS - Resultados de investigaciones de la UE
CORDIS

AI for Citizen Intelligent Coaching against Disinformation

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

D6.1 Impact Realisation Roadmap (se abrirá en una nueva ventana)

Report that aligns and coordinates all WP6 activities

D5.1 Pilot scenarios, operational planning and evaluation methodology (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

D1.3: Template and guidance for legal and ethical impact assessment (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Publicaciones

AI to Fight Disinformation: a Living Lab Approach

Autores: Aline Duelen, Wendy Van den Broeck, Iris Jennes, Sissel Fibecker Ladegaard, Marie Hoff, Nicklas Bang Bådum
Publicado en: Proceedings of the OpenLivingLab Days Conference 2023, 2023
Editor: ENoLL / VUB

FORECAST2023: A Forecast and Reasoning Corpus of Argumentation Structures

Autores: Kamila Górska, John Lawrence, Chris Reed
Publicado en: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Edición 2024.lrec-main.652, 2024
Editor: LRA and ICCL

Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models (se abrirá en una nueva ventana)

Autores: Ramon Ruiz-Dolz, John Lawrence
Publicado en: Proceedings of the 10th Workshop on Argument Mining, 2023
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2023.argmining-1.1

Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks (se abrirá en una nueva ventana)

Autores: Ramon Ruiz-Dolz, Stella Heras, Ana Garcia
Publicado en: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Editor: 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 (se abrirá en una nueva ventana)

Autores: Ramon Ruiz-Dolz, Javier Sanchez
Publicado en: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Editor: 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

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

Socratic AI Against Disinformation: Improving Critical Thinking to Recognize Disinformation Using Socratic AI (se abrirá en una nueva ventana)

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

The European union: assessing global leadership through actorness in artificial intelligence (se abrirá en una nueva ventana)

Autores: George Christou, Trisha Meyer, Rosanna Fanni
Publicado en: Journal of European Integration, 2024, ISSN 0703-6337
Editor: 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 (se abrirá en una nueva ventana)

Autores: Andrea Tomassi, Andrea Falegnami, Elpidio Romano
Publicado en: PLOS ONE, Edición 19, 2024, ISSN 1932-6203
Editor: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0303183

Privacy and Data Protection in the Era of Recommendation Systems: A Postphenomenological Approach (se abrirá en una nueva ventana)

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

Protocol Switching in a Multi-Agent Dialogue System (se abrirá en una nueva ventana)

Autores: Nicole Orr, John Lawrence
Publicado en: Frontiers in Artificial Intelligence and Applications, Computational Models of Argument, 2024
Editor: IOS Press
DOI: 10.3233/FAIA240321

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