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CORDIS - Resultados de investigaciones de la UE
CORDIS

AI-based-technologies for trustworthy solutions 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

Design of the methodological toolbox (se abrirá en una nueva ventana)

The consortium will agree upon the exact design of the set of data-driven, model-driven and AI-driven tools that will be tailored and integrated between themselves to specifically serve the needs of the AI4TRUST platform and ecosystem.

Pilot planning report (se abrirá en una nueva ventana)

This deliverable will illustrate the detailed piloting requirements, planning, and KPI definition.

AI4TRUST Platform Specification (se abrirá en una nueva ventana)

This deliverable will provide the system specifications as detailed in T5.1. The initial release will focus on the most relevant components and will be progressively updated to reflect the evolution of the AI4TRUST APIs.

Explainability and Transparency report and AI tools (se abrirá en una nueva ventana)

This deliverable will report results of T4.1-T4.2 to outline the explainability and transparency needs for the AI4TRUST platform and the socio-linguistic, user contextual, and social network factors of design for disinformation and mitigating misinformation. It will also include the first version of Trustworthy AI algorithms produced in T4.3.

Pilot planning report - Revised version (se abrirá en una nueva ventana)

This deliverable will provide an updated version of D6.1, revised according to the recommendations given by the external experts at the RP1 review.

First report on social dynamics of misinformation (se abrirá en una nueva ventana)

This deliverable will report the first version of the findings of T4.1 on the socio-contextual basis for misinformation.

Piloting sessions report v1 (se abrirá en una nueva ventana)

This deliverable describes the experimentation and validation of the AI4TRUST Platform v1 and v2-3 through its usage in the three piloting sessions. It includes an update of the planning and methodology devised in T6.1.

AI4TRUST Communication and Dissemination Plan (se abrirá en una nueva ventana)

Strategic document setting the communication and dissemination strategy of the project, including key indicators, roles and responsibilities.

Communication and Dissemination Report v1 (se abrirá en una nueva ventana)

The v1 (M20) will include some results of the first half of the project communication and dissemina-tion activities, also including i) the clustering activities within T7.4; ii) the Kick-off Conference and Stakeholder Workshop (M18). The final version of this deliverable (M36) will contain the final results including: i) the proceedings of the Final Stakeholder Forum and Policy Workshop, and iii) the reach of the SKYTG24 miniseries.

Platform Specification -- Revised version (se abrirá en una nueva ventana)

This deliverable will provide an updated version of D5.4, revised according to the recommendations given by the external experts at the RP1 review.

First release of AI tools for disinformation detection (se abrirá en una nueva ventana)

This deliverable will include the first release of T3.1-T3.4 and will also report on the exposed APIs for the integration of some of these technologies in the AI4TRUST platform.

Ground truth data and social listening data streams (se abrirá en una nueva ventana)

The access to ground data collected by the Human Fact-Checking network, as well as the one collected from social listening data streams, will be provided, in the earliest stages of the project to all technical members of the consortium to bootstrap the R&D.

AI4TRUST Platform v1 (se abrirá en una nueva ventana)

This deliverable constitutes the initial release of the AI4TRUST platform. It will also include the adopted ethical, privacy and data protection compliance technical measures as defined in T5.2 and will formalise the availability of the most relevant components. The SW modules, as well as the platform specification devised in T5.1, will be enhanced and updated at M32 (Enhanced version).

AI4TRUST Platform v2 (se abrirá en una nueva ventana)

This deliverable constitutes the enhanced release of the AI4TRUST platform. It will also include the updated ethical, privacy and data protection compliance technical measures as defined in T5.2 and will formalise the availability of the most relevant components. The SW modules, as well as the platform specification devised in T5.1 and T5.2, will be enhanced and updated at M38 (Final version).

Publicaciones

Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization (se abrirá en una nueva ventana)

Autores: Zhao Y.; Zhong Z.; Zhao N.; Sebe N.; Lee G. H.
Publicado en: International Journal of Computer Vision, 2023, ISSN 0920-5691
Editor: Kluwer Academic Publishers
DOI: 10.48550/arxiv.2212.09068

Decoding the News Media Diet of Disinformation Spreaders (se abrirá en una nueva ventana)

Autores: Bertani, Anna; Mazzeo, Valeria; Gallotti, Riccardo
Publicado en: Entropy, 2024, ISSN 1099-4300
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/E26030270

Cross-modal Networks, Fine-Tuning, Data Augmentation and Dual Softmax Operation for MediaEval NewsImages 2023

Autores: A. Leventakis, D. Galanopoulos, V. Mezaris
Publicado en: CEUR Workshop Proceedings, 2024, ISSN 1613-0073
Editor: CEUR

Countering Misinformation via Emotional Response Generation (se abrirá en una nueva ventana)

Autores: Russo, Daniel; Kaszefski-Yaschuk, Shane; Staiano, Jacopo; Guerini, Marco
Publicado en: EMNLP, 2023
Editor: ACL
DOI: 10.48550/arxiv.2311.10587

Benchmarking the Generation of Fact Checking Explanations (se abrirá en una nueva ventana)

Autores: Russo, Daniel; Tekiroğlu, Serra Sinem; Guerini, Marco
Publicado en: TACL, 2023, ISSN 2307-387X
Editor: ACL
DOI: 10.48550/arxiv.2308.15202

Weakly-supervised deepfake localization in diffusion-generated images (se abrirá en una nueva ventana)

Autores: Tantaru, Dragos; Oneata, Elisabeta; Oneata, Dan
Publicado en: WACV Proceedings, 2023, ISSN 1550-5790
Editor: IEEE
DOI: 10.1109/WACV57701.2024.00614

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