Revisiting Contextual Toxicity Detection in Conversations. (arXiv:2111.12447v4 [cs.CL] UPDATED)

Understanding toxicity in user conversations is undoubtedly an important
problem. Addressing "covert" or implicit cases of toxicity is particularly hard
and requires context. Very few previous studies have analysed the influence of
conversational context in human perception or in automated detection models. We
dive deeper into both these directions. We start by analysing existing
contextual datasets and come to the conclusion that toxicity labelling by
humans is in general influenced by the conversational structure, polarity and
topic of the context. …

arxiv conversations detection toxicity toxicity detection