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

Informazioni relative al progetto

HYBRIDS

ID dell’accordo di sovvenzione: 101073351

DOI

10.3030/101073351

Data della firma CE 14 Luglio 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 2 587 766,40

Coordinato da

UNIVERSIDAD DE SANTIAGO DE COMPOSTELA
Spain

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

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

Pubblicazioni

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

Autori: Katarina Laken
Pubblicato in: Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
Editore: Association for Computational Linguistics

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

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

La reconnaissance automatique des relations de cohérence RST en français

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

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

Autori: Davide Bassi; Michele Joshua Maggini; Renata Vieira; Martín Pereira-Fariña
Pubblicato in: 2025
Editore: IEEE

CodeFlow: Automating the Flow of Code with LLMs

Autori: Marino, Erik Bran; Bassi, Davide; Benitez-Baleato, Jesus M; Vieira, Renata
Pubblicato in: Proceedings of DH2025 Lisbon, 2025
Editore: Alliance of Digital Humanities Organizations (ADHO)

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

Autori: Michele Joshua Maggini, Davide Bassi, Pablo Gamallo
Pubblicato in: Proceedings of the 2nd Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2025), 2025
Editore: 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

Autori: Yufeng Li, Rrubaa Panchendrarajan, Arkaitz Zubiaga
Pubblicato in: CLEF 2024: Conference and Labs of the Evaluation Forum, 2024, ISSN 1613-0073
Editore: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.13355043

Sexism Detection on a Data Diet

Autori: Rabiraj Bandyopadhyay, Dennis Assenmacher, Jose M. Alonso-Moral, Claudia Wagner
Pubblicato in: Companion Proceedings of the 16th ACM Web Science Conference, 2024
Editore: ACM
DOI: 10.1145/3630744.3663609

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

Autori: Martial Pastor, Nelleke Oostdijk, Martha Larson
Pubblicato in: Proceedings of JADT 2024. 17th International Conference on Statistical Analysis of Textual Data, 2024
Editore: HAL

MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection

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

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

Autori: Martial Pastor, Nelleke Oostdijk
Pubblicato in: Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024), 2024
Editore: 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

Autori: Katarina Laken
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-1.89

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

Autori: Martial Pastor, Nelleke Oostdijk, Patricia Martin-Rodilla, Javier Parapar
Pubblicato in: Proceedings of the 31st International Conference on Computational Linguistics, 2025
Editore: Association for Computational Linguistics

Peer reviewed articles (6)

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

Autori: Luca Nannini, Eleonora Bonel, Davide Bassi, Michele Joshua Maggini
Pubblicato in: AI and Ethics, 2024, ISSN 2730-5953
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s43681-024-00467-w

Expert Systems with Applications

Autori: Rrubaa Panchendrarajan; Arkaitz Zubiaga
Pubblicato in: Expert Systems with Applications, 2024, ISSN 0957-4174
Editore: Elsevier
DOI: 10.48550/arxiv.2401.11972

A systematic review of automated hyperpartisan news detection

Autori: Michele Joshua Maggini, Davide Bassi, Paloma Piot, Gaël Dias, Pablo Gamallo Otero
Pubblicato in: PLOS ONE, Numero 20, 2025, ISSN 1932-6203
Editore: 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

Autori: Erik Bran Marino, Jesus M. Benitez-Baleato, Ana Sofia Ribeiro
Pubblicato in: Social Sciences, Numero 13, 2024, ISSN 2076-0760
Editore: MDPI AG
DOI: 10.3390/SOCSCI13110603

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

Autori: Davide Bassi, Søren Fomsgaard, Martín Pereira-Fariña
Pubblicato in: Frontiers in Communication, Numero 9, 2024, ISSN 2297-900X
Editore: Frontiers Media SA
DOI: 10.3389/fcomm.2024.1457433

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

Autori: Rrubaa Panchendrarajan; Arkaitz Zubiaga
Pubblicato in: Natural Language Processing Journal, 2024, ISSN 2949-7191
Editore: Elsevier
DOI: 10.48550/arxiv.2401.11969

Book chapters (1)

Towards Efficient and Explainable Hate Speech Detection via Model Distillation

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