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

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-DNID: 101073351
EC Contribution
€25,878
Consortium Size
14 orgs
Start Year
2023
Summary

False rumors, fake news or hate speech against vulnerable minorities through social media are becoming one of the main threats against democracies. A global strategy against disinformation is crucial as open democratic societies rely on free citizens with the ability to access verifiable information so that they can build their own opinions on different political issues. The main scientific objective of HYBRIDS is to provide researchers with the knowledge necessary to design strategies and tools to response to disinformation on the basis of a deep analysis of public discourse. There have been interesting advances in the automatic detection of disinformation by making use of natural language processing and new artificial intelligence techniques in the specific field of machine and deep learning. However, this is a very complex task that requires a high degree of natural language understanding, inference and reasoning. To improve the strategies to deal with disinformation, HYBRIDS will integrate the structured knowledge provided by social and human sciences into natural language processing tools and deep learning algorithms, so as to develop new hybrid intelligence systems. The concept of Hybrid Intelligence consists of combining machine and human intelligence to overcome the shortcomings of existing artificial intelligence methods. Even though hybrid systems are likely to become more and more decisive in the immediate future, there are very few experts who can design and develop such systems. This is mainly due to the multidisciplinary nature of the hybrid strategy and the difficulty of finding researchers with full training in traditionally separate disciplines such as computer engineering, social sciences or linguistics. We believe it is time to launch a DN with the necessary requirements to train researchers in hybrid methodologies for their application in social studies with an impact on the sustainability of good democratic practices in Europe.

Consortium (14)

Project Results (35)

Source: CORDIS, the EU research results database.

Publications (26)
A Pipeline for the Analysis of User Interactions in YouTube Comments: A Hybridization of LLMs and Rule-Based Methods
· 2025
Davide Bassi; Michele Joshua Maggini; Renata Vieira; Martín Pereira-Fariña
A systematic review of automated hyperpartisan news detection
PLOS ONE· 2025DOI
Michele Joshua Maggini, Davide Bassi, Paloma Piot, Gaël Dias, Pablo Gamallo Otero
ClaimCatchers at SemEval-2025 Task 7: Sentence Transformers for Claim Retrieval
9th International Workshop on Semantic Evaluation (SemEval-2025)· 2025DOI
Rrubaa Panchendrarajan, Rafael Frade, and Arkaitz Zubiaga
CodeFlow: Automating the Flow of Code with LLMs
Proceedings of DH2025 Lisbon· 2025
Marino, Erik Bran; Bassi, Davide; Benitez-Baleato, Jesus M; Vieira, Renata
Decoding Hate: Exploring Language Models’ Reactions to Hate Speech
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)· 2025DOI
Paloma Piot, Javier Parapar
Detecting Hyperpartisanship and Rhetorical Bias in Climate Journalism: A Sentence-Level Italian Dataset
Proceedings of the 2nd Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2025)· 2025DOI
Michele Joshua Maggini, Davide Bassi, Pablo Gamallo
Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data
Proceedings of the 31st International Conference on Computational Linguistics· 2025
Martial Pastor, Nelleke Oostdijk, Patricia Martin-Rodilla, Javier Parapar
MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters
Findings of the Association for Computational Linguistics: EMNLP 2025· 2025DOI
Rrubaa Panchendrarajan, Rubén Míguez Pérez, Arkaitz Zubiaga
Towards Efficient and Explainable Hate Speech Detection via Model Distillation
Lecture Notes in Computer Science, Advances in Information Retrieval· 2025DOI
Paloma Piot, Javier Parapar
WATCHED: A Web AI Agent Tool for Combating Hate speech by Expanding Data
SoftwareX· 2025DOI
Paloma Piot, Diego Sánchez, Javier Parapar
Beyond phase-in: assessing impacts on disinformation of the EU Digital Services Act
AI and Ethics· 2024DOI
Luca Nannini, Eleonora Bonel, Davide Bassi, Michele Joshua Maggini
Claim detection for automated fact-checking: A survey on monolingual, multilingual and cross-lingual research
Natural Language Processing Journal· 2024DOI
Rrubaa Panchendrarajan; Arkaitz Zubiaga
Decoding persuasion: a survey on ML and NLP methods for the study of online persuasion
Frontiers in Communication· 2024DOI
Davide Bassi, Søren Fomsgaard, Martín Pereira-Fariña
Decoding Sentiments about Migration in Portuguese Political Manifestos (2011, 2015, 2019)
Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 2· 2024DOI
Erik Bran Marino, Renata Vieira, Jesus Manuel Benitez Baleato, Ana Sofia Ribeiro, Katarina Laken
Expert Systems with Applications
Expert Systems with Applications· 2024DOI
Rrubaa Panchendrarajan; Arkaitz Zubiaga
FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning
CLEF 2024: Conference and Labs of the Evaluation Forum· 2024DOI
Yufeng Li, Rrubaa Panchendrarajan, Arkaitz Zubiaga
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
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)· 2024
Katarina Laken
La reconnaissance automatique des relations de cohérence RST en français
Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position· 2024
Martial Pastor, Erik Bran Marino, Nelleke Oostdijk
MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection
Proceedings of the International AAAI Conference on Web and Social Media· 2024DOI
Paloma Piot, Patricia Martín-Rodilla, Javier Parapar
Position: Machine learning-powered assessments of the EU digital services act aid quantify policy impacts on online harms
· 2024DOI
Eleonora Bonel, Luca Nannini, Davide Bassi, Michele Joshua Maggini
Sexism Detection on a Data Diet
Companion Proceedings of the 16th ACM Web Science Conference· 2024DOI
Rabiraj Bandyopadhyay, Dennis Assenmacher, Jose M. Alonso-Moral, Claudia Wagner
Signals as Features: Predicting Error/Success in Rhetorical Structure Parsing
Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)· 2024
Martial Pastor, Nelleke Oostdijk
The Contribution of Coherence Relations to Understanding Paratactic Forms of Communication in Social Media Comment Sections
Proceedings of JADT 2024. 17th International Conference on Statistical Analysis of Textual Data· 2024
Martial Pastor, Nelleke Oostdijk, Martha Larson
The Polarization Loop: How Emotions Drive Propagation of Disinformation in Online Media—The Case of Conspiracy Theories and Extreme Right Movements in Southern Europe
Social Sciences· 2024DOI
Erik Bran Marino, Jesus M. Benitez-Baleato, Ana Sofia Ribeiro
Diachronic Political Content Analysis: A Comparative Study of Topics and Sentiments in Echo Chambers and Beyond
Michele Joshua, Davide Bassi, Virginia Morini, Giulio Rossetti
Leveraging Advanced Prompting Strategies in Llama-8b for Enhanced Hyperpartisan News Detection
Michele Joshua, Erik Bran Marino, Pablo Gamallo
Deliverables (8)
Other Results (1)
Periodic Reporting for period 1 - HYBRIDS (Hybrid Intelligence to monitor, promote and analyse transformations in good democracy practices)