Hybrid Intelligence to monitor, promote and analyse transformations in good democracy practices

Informations projet

HYBRIDS

N° de convention de subvention: 101073351

DOI

10.3030/101073351

Date de signature de la CE 14 Juillet 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2026

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 2 587 766,40

Coordonné par

UNIVERSIDAD DE SANTIAGO DE COMPOSTELA
Spain

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

Documents, reports (7)

Technical report on the state of the art on hybrid methods in NLP

D 1.1. [M12] Technical report on the state of the art on hybrid methods in NLP (manuscript co-authored by DCs 6-10).

Recommendations to design high-quality Personal Career Development Plans (PCDPs) and its high-quality supervision
Technical report on the state of the art on NLP applied to discourse analysis

Technical report on the state of the art on NLP applied to discourse analysis (manuscript co-authored by DCs 1-5).

Technical report on the state of the art of political communication in social networks

Technical report on the state of the art of political communication in social networks (manuscript co-authored by DCs 1-5).

Technical report on the state of the art of political disinformation in social networks and the press

Technical report on the state of the art of political disinformation in social networks and the press (co-authored by DCs 6-10).

Technical report on the state of the art of NLP and AI methods for disinformation detection

Technical report on the state of the art of NLP and AI methods for disinformation detection (co-authored by DCs 6-10 which completes D1.1).

Technical report on the state of the art of NLP and AI methods for discourse analysis in the political domain

Websites, patent fillings, videos etc. (1)

HYBRIDS website and social media profiles available

Publications

Conference proceedings (13)

Fralak at SemEval-2024 Task 4: combining RNN-generated hierarchy paths with simple neural nets for hierarchical multilabel text classification in a multilingual zero-shot setting

Auteurs: Katarina Laken
Publié dans: Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
Éditeur: Association for Computational Linguistics

Decoding Sentiments about Migration in Portuguese Political Manifestos (2011, 2015, 2019)

Auteurs: Erik Bran Marino, Renata Vieira, Jesus Manuel Benitez Baleato, Ana Sofia Ribeiro, Katarina Laken
Publié dans: Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 2, Numéro 149–159, 2024
Éditeur: Association for Computational Linguistics
DOI: 10.18653/V1/2024.PROPOR-2.20

La reconnaissance automatique des relations de cohérence RST en français

Auteurs: Martial Pastor, Erik Bran Marino, Nelleke Oostdijk
Publié dans: Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position, 2024
Éditeur: ATALA and AFPC

A Pipeline for the Analysis of User Interactions in YouTube Comments: A Hybridization of LLMs and Rule-Based Methods

Auteurs: Davide Bassi; Michele Joshua Maggini; Renata Vieira; Martín Pereira-Fariña
Publié dans: 2025
Éditeur: IEEE

CodeFlow: Automating the Flow of Code with LLMs

Auteurs: Marino, Erik Bran; Bassi, Davide; Benitez-Baleato, Jesus M; Vieira, Renata
Publié dans: Proceedings of DH2025 Lisbon, 2025
Éditeur: Alliance of Digital Humanities Organizations (ADHO)

Detecting Hyperpartisanship and Rhetorical Bias in Climate Journalism: A Sentence-Level Italian Dataset

Auteurs: Michele Joshua Maggini, Davide Bassi, Pablo Gamallo
Publié dans: Proceedings of the 2nd Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2025), 2025
Éditeur: Association for Computational Linguistics
DOI: 10.18653/V1/2025.CLIMATENLP-1.11

FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning

Auteurs: Yufeng Li, Rrubaa Panchendrarajan, Arkaitz Zubiaga
Publié dans: CLEF 2024: Conference and Labs of the Evaluation Forum, 2024, ISSN 1613-0073
Éditeur: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.13355043

Sexism Detection on a Data Diet

Auteurs: Rabiraj Bandyopadhyay, Dennis Assenmacher, Jose M. Alonso-Moral, Claudia Wagner
Publié dans: Companion Proceedings of the 16th ACM Web Science Conference, 2024
Éditeur: ACM
DOI: 10.1145/3630744.3663609

The Contribution of Coherence Relations to Understanding Paratactic Forms of Communication in Social Media Comment Sections

Auteurs: Martial Pastor, Nelleke Oostdijk, Martha Larson
Publié dans: Proceedings of JADT 2024. 17th International Conference on Statistical Analysis of Textual Data, 2024
Éditeur: HAL

MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection

Auteurs: Paloma Piot, Patricia Martín-Rodilla, Javier Parapar
Publié dans: Proceedings of the International AAAI Conference on Web and Social Media, 2024, ISSN 2162-3449
Éditeur: AAAI Press
DOI: 10.1609/icwsm.v18i1.31445

Signals as Features: Predicting Error/Success in Rhetorical Structure Parsing

Auteurs: Martial Pastor, Nelleke Oostdijk
Publié dans: Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024), 2024
Éditeur: Association for Computational Linguistics

Fralak at SemEval-2024 Task 4: combining RNN-generated hierarchy paths with simple neural nets for hierarchical multilabel text classification in a multilingual zero-shot setting

Auteurs: Katarina Laken
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-1.89

Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data

Auteurs: Martial Pastor, Nelleke Oostdijk, Patricia Martin-Rodilla, Javier Parapar
Publié dans: Proceedings of the 31st International Conference on Computational Linguistics, 2025
Éditeur: Association for Computational Linguistics

Peer reviewed articles (6)

Beyond phase-in: assessing impacts on disinformation of the EU Digital Services Act

Auteurs: Luca Nannini, Eleonora Bonel, Davide Bassi, Michele Joshua Maggini
Publié dans: AI and Ethics, 2024, ISSN 2730-5953
Éditeur: Springer Science and Business Media LLC
DOI: 10.1007/s43681-024-00467-w

Expert Systems with Applications

Auteurs: Rrubaa Panchendrarajan; Arkaitz Zubiaga
Publié dans: Expert Systems with Applications, 2024, ISSN 0957-4174
Éditeur: Elsevier
DOI: 10.48550/arxiv.2401.11972

A systematic review of automated hyperpartisan news detection

Auteurs: Michele Joshua Maggini, Davide Bassi, Paloma Piot, Gaël Dias, Pablo Gamallo Otero
Publié dans: PLOS ONE, Numéro 20, 2025, ISSN 1932-6203
Éditeur: Public Library of Science (PLoS)
DOI: 10.1371/JOURNAL.PONE.0316989

The Polarization Loop: How Emotions Drive Propagation of Disinformation in Online Media—The Case of Conspiracy Theories and Extreme Right Movements in Southern Europe

Auteurs: Erik Bran Marino, Jesus M. Benitez-Baleato, Ana Sofia Ribeiro
Publié dans: Social Sciences, Numéro 13, 2024, ISSN 2076-0760
Éditeur: MDPI AG
DOI: 10.3390/SOCSCI13110603

Decoding persuasion: a survey on ML and NLP methods for the study of online persuasion

Auteurs: Davide Bassi, Søren Fomsgaard, Martín Pereira-Fariña
Publié dans: Frontiers in Communication, Numéro 9, 2024, ISSN 2297-900X
Éditeur: Frontiers Media SA
DOI: 10.3389/fcomm.2024.1457433

Claim detection for automated fact-checking: A survey on monolingual, multilingual and cross-lingual research

Auteurs: Rrubaa Panchendrarajan; Arkaitz Zubiaga
Publié dans: Natural Language Processing Journal, 2024, ISSN 2949-7191
Éditeur: Elsevier
DOI: 10.48550/arxiv.2401.11969

Book chapters (1)

Towards Efficient and Explainable Hate Speech Detection via Model Distillation

Auteurs: Paloma Piot, Javier Parapar
Publié dans: Lecture Notes in Computer Science, Advances in Information Retrieval, 2025, ISBN 978-3-031-88710-9
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-88711-6_24