Youri Peskine

According to our database, Youri Peskine authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Using Knowledge Graph To Detect And Explain Misinformation Spread On The Web. (Utiliser des graphes de connaissances pour détecter et expliquer la désinformation sur le Web).

Youri Peskine

PhD thesis, 2025

Automated Detection of Tropes In Short Texts.

Alessandra Flaccavento, Youri Peskine, Paolo Papotti, Riccardo Torlone, Raphaël Troncy

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

CimpleKG: A Continuously Updated Knowledge Graph on Misinformation, Factors and Fact-Checks.

Grégoire Burel, Martino Mensio, Youri Peskine, Raphaël Troncy, Paolo Papotti, Harith Alani

Proceedings of the Semantic Web - ISWC 2024, 2024

EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques.

Youri Peskine, Raphaël Troncy, Paolo Papotti

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

2023

Analyzing COVID-Related Social Discourse on Twitter using Emotion, Sentiment, Political Bias, Stance, Veracity and Conspiracy Theories.

Youri Peskine, Raphaël Troncy, Paolo Papotti

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Definitions Matter: Guiding GPT for Multi-label Classification.

Youri Peskine, Damir Korencic, Ivan Grubisic, Paolo Papotti, Raphaël Troncy, Paolo Rosso

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Detection of COVID-19-Related Conspiracy Theories in Tweets using Transformer-Based Models and Node Embedding Techniques.

Youri Peskine, Paolo Papotti, Raphaël Troncy

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

2021

Detecting COVID-19-Related Conspiracy Theories in Tweets.

Youri Peskine, Giulio Alfarano, Ismail Harrando, Paolo Papotti, Raphaël Troncy

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

2020

An Interpretable Data-Driven Score for the Assessment of Fundus Images Quality.

Youri Peskine, Marie-Carole Boucher, Farida Cheriet

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020