Implicitly Abusive Comparisons -- A New Dataset and Linguistic Analysis

Code

• github.com/miwieg/implicitly_abusive_comparisons
  OfficialIn papernone★ 6

Abstract

We examine the task of detecting implicitly abusive comparisons (e.g. ``Your hair looks like you have been electrocuted''). Implicitly abusive comparisons are abusive comparisons in which abusive words (e.g. ``dumbass'' or ``scum'') are absent. We detail the process of creating a novel dataset for this task via crowdsourcing that includes several measures to obtain a sufficiently representative and unbiased set of comparisons. We also present classification experiments that include a range of linguistic features that help us better understand the mechanisms underlying abusive comparisons.

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