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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection

Authors: Jiang, Aiqi; Xiaohan Yang; Liu, Yang; Zubiaga, Arkaitz;

SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection

Abstract

Our repository presents the Sina Weibo Sexism Review (SWSR) dataset containing sexism-related posts in Chinese collected from Sina Weibo, as well as the Chinese lexicon SexHateLex. SWSR dataset consists of two files: SexWeibo.csv and SexComment.csv, and SexHateLex lexicon contains a list of 3016 abusive terms in the file SexHateLex.txt. 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. If you have any queries or suggestions about our work, please contact us via a.jiang@qmul.ac.uk. We also welcome any ideas or cooperation related to Chinese sexist speech.

{"references": ["A. Jiang, X. Yang, Y. Liu and A. Zubiaga (2021). SWSR: A Chinese Dataset and Lexicon for Sexist Hate Speech Detection. Under review."]}

Related Organizations
Keywords

Sexism Detection, Chinese Abusive Lexicon, Chinese Sexism Dataset, Hate Speech Detection, Natural Language Processing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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