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

2 citations · 3 across the 3 of their papers we have counts for

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cs.CL2025

Embedding Style Beyond Topics: Analyzing Dispersion Effects Across Different Language Models

Benjamin Icard, Evangelia Zve, Lila Sainero +2

This paper analyzes how writing style affects the dispersion of embedding vectors across multiple, state-of-the-art language models. While early transformer models primarily aligne…

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…

cs.CL20231 cited

Measuring vagueness and subjectivity in texts: from symbolic to neural VAGO

Benjamin Icard, Vincent Claveau, Ghislain Atemezing +1

We present a hybrid approach to the automated measurement of vagueness and subjectivity in texts. We first introduce the expert system VAGO, we illustrate it on a small benchmark o…