Source-driven Representations for Hate Speech Detection

Flavio Merenda, Claudia Zaghi, Tomasso Caselli, Malvina Nissim

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    Sources, in the form of selected Facebook pages, can be used as indicators of hate-rich content. Polarized distributed representations created over such content prove superior to generic embeddings in the task of hate speech detection. The same content seems to carry a too weak signal to proxy silver labels in a distant supervised setting. However, this signal is stronger than gold labels which come from a different distribution, leading to re-think the process of annotation in the context of highly subjective judgments.
    Originele taal-2English
    TitelProceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018)
    RedacteurenTomasso Caselli, Nicole Noviell, Viviana Patti, Paolo Rosso
    Aantal pagina's6
    StatusPublished - 2018
    EvenementEVALITA 2018 - CLIC-It 2018, Turin, Italy
    Duur: 12-dec-201813-dec-2018

    Publicatie series

    ISSN van elektronische versie1613-0073


    WorkshopEVALITA 2018

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