Papers by Paul Égré

1 papers
A Multi-Label Dataset of French Fake News: Human and Machine Insights (2024.lrec-main)

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Challenge: a corpus of documents selected from 17 sources of french press considered unreliable by experts is annotated using 11 labels by 8 annotators.
Approach: They present a corpus of documents annotated using 11 labels by 8 annotators . they use a subjectivity analyzer VAGO to clarify the link between subjective and fake news labels .
Outcome: The proposed dataset identifies features that humans consider as characteristic of fake news . it also clarifies the link between ascriptions of the label Subjective and ascribeds of Fake News .

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