CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
Production of v2 of Project Handbook, Risk Management Plan, Quality Assurance Plan, Legal and Security Compliance Plan to serve as guidance and ensure consistency across consortium partners. The updated version is to reflect the evolution of the project.
DC&E Evaluation Report v1 (s’ouvre dans une nouvelle fenêtre)The DC&E evaluation report is a written report evaluating the success and failures of the various actions undertaken in the DC&E plan v1.
Intervention support tool (s’ouvre dans une nouvelle fenêtre)The Intervention Support Tool is a database and interface for a decision support recommender system that is designed to help PAs choose the most appropriate course of action to respond to different forms of disinformation.
Impact analysis tool (s’ouvre dans une nouvelle fenêtre)The Impact Analysis Tool is a database and interface that will enable PAs to assess various forms of disinformation to better understand its intended and likely impact using a series of codified analysis strategies.
Ethics guidelines for PAs (s’ouvre dans une nouvelle fenêtre)This deliverable will provide guidance to decision-makers in PAs for the adoption of VIGILANT. It will present the results of the ethics impact assessment based on the framework developed in T2.1 and generate suggestions for mitigating the residual ethics impact of VIGILANT, focusing specifically on technical aspects. The results of the ethics assessment will also inform the Disinformation Response Manual, which will take into account the broader societal and legal context and suggest possible normative accompanying measures to ensure that the use of VIGILANT is in line with democracy and the rule of law.
Ethical oversight report (s’ouvre dans une nouvelle fenêtre)This deliverable will carry out an ethics assessment of VIGILANT, identifying any ethical risks and suggesting strategies to address them proactively in order to minimize the ethical impact of the VIGILANT platform. The ethics assessment will take place reiteratively at different levels of the platform development in order to enable constant improvement. The results of ethical oversight will be summarized in this final report at the end of the project.
Causes, contents and consequences model (s’ouvre dans une nouvelle fenêtre)This deliverable will produce insights from various fields of the social and behavioural sciences that will be assimilated so that VIGILANT is designed to reflect a whole-of-society (rather than merely technological) understanding of disinformation campaigns. This includes, amongst other factors, analysis of online misogyny and gendered disinformation (National Democratic Institute, 2020), as part of online violence against women. Through literature review, conceptual models will be developed to represent key elements of disinformation campaigns, such as creation, intent, dissemination, content characteristics, audience characteristics, subsequent effects, contextual influences and relevant interventions. The elements in these models will be used to support development of the analysis tools in WP4 and WP5, especially the Impact analysis tool (T5.1) and the Intervention support tool (T5.2).
DC&E Evaluation Report v2 (s’ouvre dans une nouvelle fenêtre)The DC&E evaluation report is a written report evaluating the success and failures of the various actions undertaken in the DC&E plan v2.
Project Management Documentation v1 (s’ouvre dans une nouvelle fenêtre)Production of v1 of Project Handbook, Risk Management Plan, Quality Assurance Plan, Legal and Security Compliance Plan to serve as guidance and ensure consistency across consortium partners.
Ethics framework (s’ouvre dans une nouvelle fenêtre)The Ethics Assessment Framework will be developed to be tailored to the specific VIGILANT needs to enable the consortium members to develop the system in accordance with the most up-to-date ethics standards and to ensure that the developed platform has the highest possible positive ethical impact with minimal ethical risks. The Ethics framework will follow the principles set out by the High-Level Expert Group on AI (of which Maria Bielikova of KInIT is a member). It will especially focus on: 1) Autonomy and human agency, considering that the VIGILANT platform provides automated tools to support human decision making; 2) Privacy and data protection issues; 3) Transparency and interpretability of the automated analysis results; 4) Fairness, diversity and non-discrimination related to profiling activities; 5) Societal well-being and democracy, especially considering potential chilling effects on basic freedoms such as freedom of information and expression. Finally, dual use considerations will play an important role in the assessment of the VIGILANT platform, including potential issues regarding export control restrictions in line with the most recent EU normative developments.
DC&E Plan v1 (s’ouvre dans une nouvelle fenêtre)DC&E Plan: The Dissemination, Communication and Exploitation Plan v1 is a written report detailing of a series of activities that the VIGILANT consortium will undertake to maximise the impact and longevity of the VIGILANT Innovation Action. It will include the intended actions we plan to take as a consortium to disseminate the research undertaken in the project among specific communities of security researchers and PAs to advocate their joining the Community of Early Adopters. It will also include specific actions to communicate what VIGILANT is to members of the public. Lastly it will include specific actions which we will take to leverage the many technologies in VIGILANT for commercialisation and future research projects. This report will cover M1 - M36 of the project.
DC&E Plan v2 (s’ouvre dans une nouvelle fenêtre)DC&E Plan: The Dissemination, Communication and Exploitation Plan v2 is an update to the v1 report. It is designed to reflect any changes in the DC&E plan as the project evolves. This report will focus on M18 - M36 of the project.
Final version of VIGILANT's Data Management Plan. This updated DMP will reflect the current status of the project's handling of data (M36) and note considerations for after project completion.
Data Management Plan v2 (s’ouvre dans une nouvelle fenêtre)Second version of Data Management Plan which will have evolved over the project and will reflect the current status of the project's handling of data (M18).
Data Management Plan v1 (s’ouvre dans une nouvelle fenêtre)First version of data management plan.
Publications
Auteurs:
Michal Spiegel, Dominik Macko
Publié dans:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.ACL-DEMOS.17
Auteurs:
Macko, Dominik; Moro, Robert; Uchendu, Adaku; Lucas, Jason Samuel; Yamashita, Michiharu; Pikuliak, Matúš; Srba, Ivan; Le, Thai; Lee, Dongwon; Simko, Jakub; Bielikova, Maria
Publié dans:
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2023.EMNLP-MAIN.616
Auteurs:
Jan Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Maria Bielikova, Peter Brusilovsky
Publié dans:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.ACL-LONG.710
Auteurs:
Dominik Macko, Jakub Kopál, Robert Moro, Ivan Srba
Publié dans:
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2025.ACL-LONG.36
Auteurs:
Mu, Yida; Jiang, Ye; Heppell, Freddy; Singh, Iknoor; Scarton, Carolina; Bontcheva, Kalina; Song, Xingyi
Publié dans:
2023
Éditeur:
ICWSM TrueHealth 2023
DOI:
10.48550/ARXIV.2304.04811
Auteurs:
Branislav Pecher, Jan Cegin, Robert Belanec, Jakub Simko, Ivan Srba, Maria Bielikova
Publié dans:
Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.FINDINGS-EMNLP.644
Auteurs:
Elena Tuparova, Petar Ivanov, Andrey Tagarev, Svetla Boytcheva, Ivan Koychev
Publié dans:
2023
Éditeur:
INCOMA Ltd., Shoumen, Bulgaria
DOI:
10.26615/978-954-452-089-2_016
Auteurs:
Michal Spiegel, Dominik Macko
Publié dans:
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.SEMEVAL-1.84
Auteurs:
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Robert Moro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
Publié dans:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.ACL-LONG.357
Auteurs:
Ivan Vykopal, Matúš Pikuliak, Ivan Srba, Robert Moro, Dominik Macko, Maria Bielikova
Publié dans:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.ACL-LONG.793
Auteurs:
Yue Li, Zhixue Zhao, Carolina Scarton
Publié dans:
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2025.EMNLP-MAIN.1502
Auteurs:
Dominik Macko, Robert Moro, Adaku Uchendu, Ivan Srba, Jason S Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Maria Bielikova
Publié dans:
Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.FINDINGS-EMNLP.369
Auteurs:
Iknoor Singh, Carolina Scarton, Kalina Bontcheva
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Wu, Ben; Razuvayevskaya, Olesya; Heppell, Freddy; Leite, João A.; Scarton, Carolina; Bontcheva, Kalina; Song, Xingyi
Publié dans:
2023
Éditeur:
Association for Computational Linguistics
DOI:
10.5281/ZENODO.8159066
Auteurs:
Jisun An, Yu-Ru Lin, Yelena Mejova, Eni Mustafaraj, Juhi Kulshrestha, Ingmar Weber
Publié dans:
2025
Éditeur:
AAAI Press
DOI:
10.5281/ZENODO.15228283
Auteurs:
Hromadka, Timo; Smolen, Timotej; Remis, Tomas; Pecher, Branislav; Srba, Ivan
Publié dans:
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2023.SEMEVAL-1.86
Auteurs:
Yue Li, Zhixue Zhao, Carolina Scarton
Publié dans:
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2025.EMNLP-MAIN.1617
Auteurs:
Heppell, Freddy; Bontcheva, Kalina; Scarton, Carolina
Publié dans:
2023
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2023.EMNLP-MAIN.349
Auteurs:
Razuvayevskaya, Olesya; Wu, Ben; Leite, João A.; Heppell, Freddy; Srba, Ivan; Scarton, Carolina; Bontcheva, Kalina; Song, Xingyi
Publié dans:
PLOS ONE, Numéro 19(5), 2024
Éditeur:
Zenodo
DOI:
10.1371/JOURNAL.PONE.0301738
Auteurs:
Barman, Dipto; Conlan, Owen
Publié dans:
2023
Éditeur:
TBC
DOI:
10.48550/ARXIV.2309.16305
Auteurs:
Kimberley Kruijver, Neill Bo Finlayson, Beatrice Cadet, Sico van der Meer
Publié dans:
Discover Global Society, Numéro 3, 2025, ISSN 2731-9687
Éditeur:
Springer Science and Business Media LLC
DOI:
10.1007/S44282-025-00194-5
Auteurs:
Elisa Orrù
Publié dans:
SSRN Electronic Journal, 2024, ISSN 1556-5068
Éditeur:
Elsevier BV
DOI:
10.2139/SSRN.5042634
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