Our two-path bootstrapping architecture consists of two learning components, an explicit slur term learner and a neural net classifier (LSTMs (Hochreiter and Schmidhuber, 1997)), that can capture both explicit and implicit phrasings of online hate speech.
our bootstrapping system starts with automatically labeled online hateful content that are identified by matching a large collection of unlabeled online content with several hateful slur terms.