An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software-Reference-Cited by-同舟云学术

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An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software

Published:2023-09-11 Issue: Volume: Page:
ISSN:
Container-title:2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)
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Author:

Wang Wenxuan¹,Huang Jingyuan¹,Huang Jen-tse¹,Chen Chang¹,Gu Jiazhen¹,He Pinjia²,Lyu Michael R.¹

Affiliation:

1. The Chinese University of Hong Kong,Department of Computer Science and Engineering,Hong Kong,China

2. School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK Shenzhen),China

Funder

Shenzhen Science and Technology Innovation Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10298258/10298286/10298324.pdf?arnumber=10298324

Reference90 articles.

1. Twitter spam detection: Survey of new approaches and comparative study

2. A Survey on Hate Speech Detection using Natural Language Processing

3. Cross-checking oracles from intrinsic software redundancy

4. Roberta: A robustly optimized bert pretraining approach;liu;ArXiv,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Repairing the harm: Toward an algorithmic reparations approach to hate speech content moderation;Big Data & Society;2024-04-22

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