[ecrea] CFP: Abusive Language Online

    Part of the annual meeting of the Association of Computational
    Linguistics 2017 (Vancouver), August 3rd (or) 4th, 2017


https://www.hastac.org/opportunities/cfp-1st-workshop-abusive-language-online


    Overview


    The last few years have seen a surge in abusive online behavior,
    with governments, social media platforms, and individuals struggling
    to cope with the consequences. Online forums, comment sections, and
    social media interaction in general have become a playground of
    bullying, scapegoating, and hate speech. These forms of online
    aggression not only poison the social climate of the communities
    that experience it, but also lower the inhibition for direct
    physical violence, and increasingly even result in it.


    As a field that directly works with computing over language, Natural
    Language Processing researchers are in a unique position to develop
    automated methods to analyse, detect, and filter abusive language.
    Additionally, we recognize that addressing abusive language is not
    solely the purview of NLP approaches but is a truly
    multi-disciplinary problem and thus requires knowledge from other
    fields, including but not limited to: psychology, sociology, law,
    gender studies, digital communication, and critical race theory.


    In this one day workshop, we aim to provide a space for researchers
    of various disciplines to meet and discuss approaches to abusive
    language. The workshop will include invited speakers and panelists
    from fields outside of NLP, as well as solicit papers from
    researchers across all areas.  In addition, the workshop will host
    an “unshared task”.


    Paper Topics


    We invite long and short papers on any of the following general topics:

      *

        NLP models and methods for abusive language detection

      *

        Application of NLP tools to analyze social media content and
        other large data sets

      *

        NLP models for cross-lingual abusive language detection

      *

        The social and personal consequences of being the target of
        abusive language and targeting others with abusive language

      *

        Assessment of current non-NLP methods of addressing abusive 
language

      *

        Legal ramifications of measures taken against abusive language use

      *

        Best practices for using NLP techniques in watchdog settings

      *

        Development of corpora and annotation guidelines


    Panel Discussion Topics


    Potential panel discussion topics reflect the relevance for industry
    and individuals:

      *

        Responsibility of companies and governments in monitoring speech

      *

        Privacy and ethical implications of abusive language detection
        (false positives)

      *

        Follow-up: what to do when a community experiences abusive language

      *

        Personal experiences from individuals who have been threatened
        online

      *

        Best methods for cross-pollination of ideas between fields


    Andrew Whitacre
    Communications Director
    Comparative Media Studies/Writing
    Massachusetts Institute of Technology
    (awhit /at/ mit.edu) <mailto:(awhit /at/ mit.edu)> | cmsw.mit.edu
    <http://cmsw.mit.edu/>

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