Latent Hatred: A Benchmark for Understanding Implicit Hate Speech (Association for Computational Linguistics)

“Despite much attention being paid to characterize and detect discriminatory speech, most work has focused on explicit or overt hate speech, failing to address a more pervasive form based on coded or indirect language. To fill this gap, this work introduces a theoretically-justified taxonomy of implicit hate speech and a benchmark corpus with fine-grained labels for each message and its implication. We present systematic analyses of our dataset using contemporary baselines to detect and explain implicit hate speech, and we discuss key features that challenge existing models.”

https://aclanthology.org/2021.emnlp-main.29.pdf