Leveraging profanity for insincere content detection: A neural network approach

• Main Authors: GOTTIPATI, Swapna, TAN, Annabel, CHOW, David Jing Shan, LIM, Joel Wee Kiat
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Social media; insincere content; profanity; neural networks; classification.; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/5666; https://ink.library.smu.edu.sg/context/sis_research/article/6669/viewcontent/IEEE_IEMCON_2020_Toxic_Camera.pdf
• Institution: Singapore Management University

Community driven social media sites are rich sources of knowledge and entertainment and at the same vulnerable to the flames or toxic content that can be dangerous to various users of these platforms as well as to the society. Therefore, it is crucial to identify and remove such content to have a be...