Annotating Social Data with Speaker/User Engagement. Illustration on Online Hate Characterization in French

This paper presents an annotation framework relying on the linguistic notion of speaker/user engagement. This notion is suitable for a finer characteriza- tion of online hateful discourse as it allows addressing the following question: does the speaker engage himself to the truthfulness of hate content? Two resources were built to support the annotation framework: a taxonomy of speaker/user engage- ment degrees and a rich semantic resource of pictograms/emoticons. The paper describes the resources used and the annotation process. Preliminary experiments and results on sexism characterization in French are also presented.