Challenges and frontiers in abusive content detection

Bertie Vidgen, Alex Harris, Dong Nguyen, Rebekah Tromble, Scott Hale, Helen Margetts

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    Online abusive content detection is an inherently difficult task. It has received considerable attention from academia, particularly within the computational linguistics community, and performance appears to have improved as the field has matured. However, considerable challenges and unaddressed frontiers remain, spanning technical, social and ethical dimensions. These issues constrain the performance, efficiency and generalizability of abusive content detection systems. In this article we delineate and clarify the main challenges and frontiers in the field, critically evaluate their implications and discuss potential solutions. We also highlight ways in which social scientific insights can advance research. We discuss the lack of support given to researchers working with abusive content and provide guidelines for ethical research.
    Original languageEnglish
    Title of host publicationProceedings of the Third Workshop on Abusive Language Online
    Place of PublicationFlorence, Italy
    PublisherAssociation for Computational Linguistics
    Pages80-93
    Number of pages14
    DOIs
    Publication statusPublished - 1 Aug 2019

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