In the wake of a polarizing election, the cyber world is laden with hate speech.
In the context of investigative journalism, we address the problem of automatically identifying which claims in a given document are most worthy and should be prioritized for fact-checking.
Given the constantly growing proliferation of false claims online in recent years, there has been also a growing research interest in automatically distinguishing false rumors from factually true claims.
And we have totally tested it, trust us!
Stance classification determines the attitude, or stance, in a (typically short) text.
When people or organizations provide information, they make choices regarding what information they include and how they present it.
We then used this corpus to train a classifier to identify the discourse-usage of French discourse connectives and show a 15% improvement of F1-score compared to the classifier trained on the non-filtered annotations.