Anatomy of online hate: Developing a taxonomy and machine learning models for identifying and classifying hate in online news media
Online social media platforms generally attempt to mitigate hateful expressions, as these comments can be detrimental to the health of the community. However, automatically identifying hateful comments can be challenging. We manually label 5,143 hateful expressions posted to YouTube and Facebook vid...
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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/5336 https://ink.library.smu.edu.sg/context/sis_research/article/6340/viewcontent/anatomy_of_online.pdf |
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| Institution: | Singapore Management University |
| Language: | English |