nedjmaou/MLMA_hate_speech

---
license: mit
---
# Disclaimer
*This is a hate speech dataset (in Arabic, French, and English).*

*Offensive content that does not reflect the opinions of the authors.*

# Dataset of our EMNLP 2019 Paper (Multilingual and Multi-Aspect Hate Speech Analysis)
For more details about our dataset, please check our paper:

@inproceedings{ousidhoum-etal-multilingual-hate-speech-2019,
title = "Multilingual and Multi-Aspect Hate Speech Analysis",
author = "Ousidhoum, Nedjma
and Lin, Zizheng
and Zhang, Hongming
and Song, Yangqiu
and Yeung, Dit-Yan",
booktitle = "Proceedings of EMNLP",
year = "2019",
publisher = "Association for Computational Linguistics",
}

(You can preview our paper on https://arxiv.org/pdf/1908.11049.pdf)

## Clarification
The multi-labelled tasks are *the hostility type of the tweet* and the *annotator's sentiment*. (We kept labels on which at least two annotators agreed.)

## Taxonomy
In further experiments that involved binary classification tasks of the hostility/hate/abuse type, we considered single-labelled *normal* instances to be *non-hate/non-toxic* and all the other instances to be *toxic*.

## Dataset
Our dataset is composed of three csv files sorted by language. They contain the tweets and the annotations described in our paper:

the hostility type *(column: tweet sentiment)*

hostility directness *(column: directness)*

target attribute *(column: target)*

target group *(column: group)*

annotator's sentiment *(column: annotator sentiment)*.

## Experiments

To replicate our experiments, please see https://github.com/HKUST-KnowComp/MLMA_hate_speech/blob/master/README.md

原始信息汇总

数据集概述

数据集来源

• 该数据集源自2019年EMNLP会议论文《Multilingual and Multi-Aspect Hate Speech Analysis》。

数据集内容

• 数据集包含三种语言（阿拉伯语、法语和英语）的仇恨言论。
• 数据集由三个CSV文件组成，按语言分类，包含推文及其相关注释。

注释信息

• 注释包括：
  • 敌意类型（列名：tweet sentiment）
  • 敌意直接性（列名：directness）
  • 目标属性（列名：target）
  • 目标群体（列名：group）
  • 注释者情感（列名：annotator sentiment）

分类任务

• 在进一步的二元分类实验中，将单标签的“正常”实例视为“非仇恨/非有毒”，其他所有实例视为“有毒”。

数据集使用

• 数据集用于多语言和多方面的仇恨言论分析。