@inproceedings{f52f5ad9b6574225bd4f8113ed71798b,
title = "Source-driven Representations for Hate Speech Detection",
abstract = "Sources, in the form of selected Facebook pages, can be used as indicators of hate-rich content. Polarized distributed representations created over such content prove superior to generic embeddings in the task of hate speech detection. The same content seems to carry a too weak signal to proxy silver labels in a distant supervised setting. However, this signal is stronger than gold labels which come from a different distribution, leading to re-think the process of annotation in the context of highly subjective judgments.",
author = "Flavio Merenda and Claudia Zaghi and Tomasso Caselli and Malvina Nissim",
year = "2018",
language = "English",
editor = "Caselli, {Tomasso } and Noviell, {Nicole } and Patti, {Viviana } and Rosso, {Paolo }",
booktitle = "Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018)",
note = "EVALITA 2018 ; Conference date: 12-12-2018 Through 13-12-2018",
}