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Building a formal model for hate detection in French corpora

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  • Additional Information
    • Contributors:
      Modèles, Dynamiques, Corpus (MoDyCo); Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS); DTIS, ONERA, Université Paris Saclay Palaiseau; ONERA-Université Paris-Saclay
    • Publication Information:
      HAL CCSD
      Elsevier
    • Publication Date:
      2020
    • Collection:
      Université Paris Lumières: HAL
    • Abstract:
      International audience ; This paper investigates the development of a formal model in order to analyse online hate in French corpora. Relevant concepts are identified by exploiting several sources: the cognitive foundations of the appraisal theory, according to which people's emotional response are based on their own evaluative judgments or appraisals of situations, events or objects; a linguistic model of how different kinds of modalities applied to predicative contents are expressed in textual data; several definitions of a hate speech. Based on those inputs, a formal model was developed to describe online hate speech. The model highlights different categories of hate targets and actions, and emphasizes the importance of context for online hate detection.
    • Relation:
      hal-03184124; https://hal.science/hal-03184124; https://hal.science/hal-03184124/document; https://hal.science/hal-03184124/file/DTIS21047.1615824519.pdf
    • Accession Number:
      10.1016/j.procs.2020.09.299
    • Online Access:
      https://hal.science/hal-03184124
      https://hal.science/hal-03184124/document
      https://hal.science/hal-03184124/file/DTIS21047.1615824519.pdf
      https://doi.org/10.1016/j.procs.2020.09.299
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • Accession Number:
      edsbas.8A04FD9D