1 code implementation • 24 Mar 2024 • Benjamin Icard, François Maine, Morgane Casanova, Géraud Faye, Julien Chanson, Guillaume Gadek, Ghislain Atemezing, François Bancilhon, Paul Égré
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.
no code implementations • 6 Feb 2024 • Géraud Faye, Benjamin Icard, Morgane Casanova, Julien Chanson, François Maine, François Bancilhon, Guillaume Gadek, Guillaume Gravier, Paul Égré
This paper investigates the language of propaganda and its stylistic features.
no code implementations • 12 Sep 2023 • Benjamin Icard, Vincent Claveau, Ghislain Atemezing, Paul Égré
We present a hybrid approach to the automated measurement of vagueness and subjectivity in texts.
no code implementations • 17 Jul 2022 • Paul Égré, Lorenzo Rossi, Jan Sprenger
This paper develops a trivalent semantics for the truth conditions and the probability of the natural language indicative conditional.
no code implementations • 27 Oct 2021 • Paul Guélorget, Benjamin Icard, Guillaume Gadek, Souhir Gahbiche, Sylvain Gatepaille, Ghislain Atemezing, Paul Égré
In this paper, we combine two independent detection methods for identifying fake news: the algorithm VAGO uses semantic rules combined with NLP techniques to measure vagueness and subjectivity in texts, while the classifier FAKE-CLF relies on Convolutional Neural Network classification and supervised deep learning to classify texts as biased or legitimate.
no code implementations • 4 Dec 2014 • Paul Égré, Paul Marty, Bryan Renne
We argue that one can legitimately answer positively or negatively, depending on whether or not one's true belief is justified by what we call adequate reasons.