SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection

Overview

Our repository presents the first Chinese sexism dataset -- Sina Weibo Sexism Review (SWSR) dataset -- containing sexism-related posts collected from Sina Weibo platform, as well as a large Chinese lexicon SexHateLex. The SWSR dataset can be exploited for building computational methods to identify and investigate online, gender-related abusive language. The SexHateLex lexicon can also support detection and analysis of sexist contents.

Please find more details in our paper work and earlier released dataset versions here.

Data Format

SWSR Dataset

SWSR dataset consists of two files: SexWeibo.csv and SexComment.csv, corresponding to 1,527 weibos and 8,969 comments.

SexWeibo.csv

weibo_id: a string of weibo ID
weibo_text: a string of weibo text
keyword: contains the sexist keyword(s) extracted from the weibo. Not every weibo has corresponding keyword(s)
user_gender: the gender of user
user_location: the location of user
user_follower: number of users who follow this user's account
user_following: number of users whom this user follows
weibo_like: number of like for the weibo
weibo_comment: number of comment for the weibo
weibo_repost: number of repost for the weibo
weibo_date: the date and time when the weibo is posted

SexComment.csv

weibo_id: the weibo id where the comment is collected
comment_text: a string of comment text
gender: the gender of commenter
location: the location of commenter
like: number of like for this comment
date: the date and time when the comment is posted
label: the comment is sexist(1) or non-sexist(0)
category: categorise sexism into four classes -- Stereotype based on Appearance(SA), Stereotype based on Cultural Background (SCB), MicroAggression (MA) and Sexual Offense (SO)
target: the type of target who are attacked -- Individual (I) or Generic (G)

SexHateLex Lexicon

The SexHateLex lexicon contains a list of 3,016 abusive and sexist terms in SexHateLex.txt.

Reference

Our work has been published in the Journal of Online Social Networks and Media. If you are interested in this dataset, please cite:

Aiqi Jiang, Xiaohan Yang, Yang Liu, Arkaitz Zubiaga, 
SWSR: A Chinese dataset and lexicon for online sexism detection, 
Online Social Networks and Media, 
Volume 27, 
2022, 
100182, 
ISSN 2468-6964, 
https://doi.org/10.1016/j.osnem.2021.100182.