Search Results for author: Benjamin Icard

Found 4 papers, 1 papers with code

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

1 code implementation24 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.

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

no code implementations12 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.

Combining Vagueness Detection with Deep Learning to Identify Fake News

no code implementations27 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.

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