2 citations · 3 across the 10 of their papers we have counts for
10 papers
Propaganda Forensics: Recovering the Generation Pipeline of an AI-Driven Influence Campaign
Benjamin Icard, Elouan Vuichard, Louis Lefebvre +12
We present a forensic analysis of the generation pipeline behind a recent AI-driven influence campaign. We introduce PROPAGIA, a corpus of 2,646 propagandist French articles from t…
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…
Probabilistic consequence relations
Paul Égré, Ellie Ripley
This paper investigates logical consequence defined in terms of probability distributions, for a classical propositional language using a standard notion of probability. We examine…
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…
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…
Fairness Interventions in Classification: A Study on AI Explainability
Thomas Souverain, Paul Égré
This paper presents a philosophical and experimental study of fairness interventions in AI classification, centered on the explainability and transparency of corrective methods, an…
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…
Explaining vague language
Paul Égré, Benjamin Spector
Why is language vague? Vagueness may be explained and rationalized if it can be shown that vague language is more useful to speaker and hearer than precise language. In a well-know…
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…
ST and TS as Product and Sum
Quentin Blomet, Paul Égré
The set of -valid inferences is neither the intersection, nor the union of the sets of - and -valid inferences, but despite the proximity to…