Detecting online hate speech using context aware models

Abstract

In the wake of a polarizing election, the cyber world is laden with hate speech. Context accompanying a hate speech text is useful for identifying hate speech, which however has been largely overlooked in existing datasets and hate speech detection models. In this paper, we provide an annotated corpus of hate speech with context information well kept. Then we propose two types of hate speech detection models that incorporate context information, a logistic regression model with context features and a neural network model

Publication
arXiv preprint arXiv:1710.07395

Main contributions

Coming soon

Limitations

Coming soon

Future Directions

Coming soon

Related