Anatomy of online hate: Developing a taxonomy and machine learning models for identifying and classifying hate in online news media

• Main Authors: SALMINEN, Joni, ALMEREKHI, Hind, MILENKOVIC, Milica, JUNG, Soon-Gyu, KWAK, Haewoon, JANSEN, Bernard J.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Online hate; toxic comments; social media; machine learning; Databases and Information Systems; Social Media
• 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
• Institution: Singapore Management University

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...