CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.
I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .
Risultati finali
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 (si apre in una nuova finestra)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.
Ethics guidelines for PAs (si apre in una nuova finestra)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.
Causes, contents and consequences model (si apre in una nuova finestra)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).
Project Management Documentation v1 (si apre in una nuova finestra)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 (si apre in una nuova finestra)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 (si apre in una nuova finestra)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 (si apre in una nuova finestra)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.
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 (si apre in una nuova finestra)First version of data management plan.
Pubblicazioni
Autori:
Michal Spiegel, Dominik Macko
Pubblicato in:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.ACL-DEMOS.17
Autori:
Macko, Dominik; Moro, Robert; Uchendu, Adaku; Lucas, Jason Samuel; Yamashita, Michiharu; Pikuliak, Matúš; Srba, Ivan; Le, Thai; Lee, Dongwon; Simko, Jakub; Bielikova, Maria
Pubblicato in:
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2023.EMNLP-MAIN.616
Autori:
Jan Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Maria Bielikova, Peter Brusilovsky
Pubblicato in:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.ACL-LONG.710
Autori:
Dominik Macko, Jakub Kopál, Robert Moro, Ivan Srba
Pubblicato in:
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2025.ACL-LONG.36
Autori:
Mu, Yida; Jiang, Ye; Heppell, Freddy; Singh, Iknoor; Scarton, Carolina; Bontcheva, Kalina; Song, Xingyi
Pubblicato in:
2023
Editore:
ICWSM TrueHealth 2023
DOI:
10.48550/ARXIV.2304.04811
Autori:
Branislav Pecher, Jan Cegin, Robert Belanec, Jakub Simko, Ivan Srba, Maria Bielikova
Pubblicato in:
Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.FINDINGS-EMNLP.644
Autori:
Elena Tuparova, Petar Ivanov, Andrey Tagarev, Svetla Boytcheva, Ivan Koychev
Pubblicato in:
2023
Editore:
INCOMA Ltd., Shoumen, Bulgaria
DOI:
10.26615/978-954-452-089-2_016
Autori:
Michal Spiegel, Dominik Macko
Pubblicato in:
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.SEMEVAL-1.84
Autori:
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Robert Moro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
Pubblicato in:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.ACL-LONG.357
Autori:
Ivan Vykopal, Matúš Pikuliak, Ivan Srba, Robert Moro, Dominik Macko, Maria Bielikova
Pubblicato in:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.ACL-LONG.793
Autori:
Yue Li, Zhixue Zhao, Carolina Scarton
Pubblicato in:
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2025.EMNLP-MAIN.1502
Autori:
Dominik Macko, Robert Moro, Adaku Uchendu, Ivan Srba, Jason S Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Maria Bielikova
Pubblicato in:
Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.FINDINGS-EMNLP.369
Autori:
Iknoor Singh, Carolina Scarton, Kalina Bontcheva
Pubblicato in:
2025
Editore:
Association for Computational Linguistics
Autori:
Wu, Ben; Razuvayevskaya, Olesya; Heppell, Freddy; Leite, João A.; Scarton, Carolina; Bontcheva, Kalina; Song, Xingyi
Pubblicato in:
2023
Editore:
Association for Computational Linguistics
DOI:
10.5281/ZENODO.8159066
Autori:
Jisun An, Yu-Ru Lin, Yelena Mejova, Eni Mustafaraj, Juhi Kulshrestha, Ingmar Weber
Pubblicato in:
2025
Editore:
AAAI Press
DOI:
10.5281/ZENODO.15228283
Autori:
Hromadka, Timo; Smolen, Timotej; Remis, Tomas; Pecher, Branislav; Srba, Ivan
Pubblicato in:
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2023.SEMEVAL-1.86
Autori:
Yue Li, Zhixue Zhao, Carolina Scarton
Pubblicato in:
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2025.EMNLP-MAIN.1617
Autori:
Heppell, Freddy; Bontcheva, Kalina; Scarton, Carolina
Pubblicato in:
2023
Editore:
Association for Computational Linguistics
DOI:
10.18653/V1/2023.EMNLP-MAIN.349
Autori:
Macko, Dominik; Moro, Robert; Uchendu, Adaku; Srba, Ivan; Lucas, Jason Samuel; Yamashita, Michiharu; Tripto, Nafis Irtiza; Lee, Dongwon; Simko, Jakub; Bielikova, Maria
Pubblicato in:
2024
Editore:
TBC
DOI:
10.48550/ARXIV.2401.07867
Autori:
Razuvayevskaya, Olesya; Wu, Ben; Leite, João A.; Heppell, Freddy; Srba, Ivan; Scarton, Carolina; Bontcheva, Kalina; Song, Xingyi
Pubblicato in:
PLOS ONE, Numero 19(5), 2024
Editore:
Zenodo
DOI:
10.1371/JOURNAL.PONE.0301738
Autori:
Tripto, Nafis Irtiza; Venkatraman, Saranya; Macko, Dominik; Moro, Robert; Srba, Ivan; Uchendu, Adaku; Le, Thai; Lee, Dongwon
Pubblicato in:
2023
Editore:
TBC
DOI:
10.48550/ARXIV.2311.08374
Autori:
Vykopal, Ivan; Pikuliak, Matúš; Srba, Ivan; Moro, Robert; Macko, Dominik; Bielikova, Maria
Pubblicato in:
2023
Editore:
TBC
DOI:
10.48550/ARXIV.2311.08838
Autori:
Barman, Dipto; Conlan, Owen
Pubblicato in:
2023
Editore:
TBC
DOI:
10.48550/ARXIV.2309.16305
Autori:
Spiegel, Michal; Macko, Dominik
Pubblicato in:
2023
Editore:
TBC
DOI:
10.48550/ARXIV.2311.12574
Autori:
Kimberley Kruijver, Neill Bo Finlayson, Beatrice Cadet, Sico van der Meer
Pubblicato in:
Discover Global Society, Numero 3, 2025, ISSN 2731-9687
Editore:
Springer Science and Business Media LLC
DOI:
10.1007/S44282-025-00194-5
Autori:
Elisa Orrù
Pubblicato in:
SSRN Electronic Journal, 2024, ISSN 1556-5068
Editore:
Elsevier BV
DOI:
10.2139/SSRN.5042634
Autori:
Ahmad Zareie, Kalina Bontcheva, Carolina Scarton
Pubblicato in:
Lecture Notes in Computer Science, Social Networks Analysis and Mining, 2025
Editore:
Springer Nature Switzerland
DOI:
10.1007/978-3-031-78538-2_21
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