most citedHYBRINFOX at CheckThat! 2024 -- Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection

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cs.CL2026

Reliable News or Propagandist News? A Neurosymbolic Model Using Genre, Topic, and Persuasion Techniques to Improve Robustness in Classification

Géraud Faye, Benjamin Icard, Morgane Casanova +6

Among news disorders, propagandist news are particularly insidious, because they tend to mix oriented messages with factual reports intended to look like reliable news. To detect p…

cs.CL2024

HYBRINFOX at CheckThat! 2024 -- Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimation

Géraud Faye, Morgane Casanova, Benjamin Icard +4

This paper summarizes the experiments and results of the HYBRINFOX team for the CheckThat! 2024 - Task 1 competition. We propose an approach enriching Language Models such as RoBER…

cs.CL20241 cited

HYBRINFOX at CheckThat! 2024 -- Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection

Morgane Casanova, Julien Chanson, Benjamin Icard +4

This paper presents the HYBRINFOX method used to solve Task 2 of Subjectivity detection of the CLEF 2024 CheckThat! competition. The specificity of the method is to use a hybrid sy…

cs.CL2024

A Multi-Label Dataset of French Fake News: Human and Machine Insights

Benjamin Icard, François Maine, Morgane Casanova +6

We present a corpus of 100 documents, OBSINFOX, selected from 17 sources of French press considered unreliable by expert agencies, annotated using 11 labels by 8 annotators. By col…

cs.CL20242 cited

Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classification

Géraud Faye, Benjamin Icard, Morgane Casanova +6

This paper investigates the language of propaganda and its stylistic features. It presents the PPN dataset, standing for Propagandist Pseudo-News, a multisource, multilingual, mult…