Implicitly Abusive Comparisons – A New ...

We examine the task of detecting implicitly abusive comparisons (e.g. "Your hair looks like you have been electrocuted"). Implicitly abusive comparisonsare 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 asufficiently representative and unbiased set of comparisons. We also present classification experiments that include a range of linguistic features tha thelp us better understand the mechanisms underlying abusive comparisons.