Evidence aware neural pornographic text identification for child protection

• Main Authors: SONG, Kaisong, KANG, Yangyang, GAO, Wei, GAO, Zhe, SUN, Changlong, LIU, Xiaozhong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/6616; https://ink.library.smu.edu.sg/context/sis_research/article/7619/viewcontent/17753_Article_Text_21247_1_2_20210518.pdf
• Institution: Singapore Management University

Identifying pornographic text online is practically useful to protect children from access to such adult content. However, some authors may intentionally avoid using sensitive words in their pornographic texts to take advantage of the lack of human audits. Without prior knowledge guidance, real sema...