Legislating to Control Online Hate Speech: A Corpus-Assisted Semantic Analysis of French Parliamentary Debates

International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique 36 (6):2323-2353 (2023)
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Abstract

This corpus analysis of linguistic and semantic features in French parliamentary debates concerning online hate speech regulation, highlights tensions between state powers and private rights. Two key themes are identified: first, the _problem of definition_: how such online content is defined in the debates, and second, the _problem of regulation_: how the debates negotiate the supra-jurisdictional and individual jurisdiction issues involved, in regulating both the global online content and the responsibilities of the owners of the platforms who manage the content. For this analysis, the authors created a corpus of French National Assembly Examination Committee discussions and public sessions between July 2019 to January 2020 discussing the _Loi Avia _(Avia Law). The corpus was analysed using quali-quantitative methods. Overall, the study combines a top-down (global) and a bottom-up (local) analysis of the data, applying corpus semantic approaches (Lecolle et al. in Langages 210(2):35–54, 2018; Rastier in The Routledge handbook of semantics, Routledge, pp 507–522, 2015) to contextualize the analysis of the meta-discourse (Hyland in Meta-discourse: exploring interaction in writing, 1st ed. Bloomsbury Academic, Bloomsbury Collections, 2018. https://doi.org/10.5040/9781350063617 ). The analysis highlights the linguistic features revealing the power dynamics inherent within the discourse and counter-discourse of the dominant and opposition political parties respectively.

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