This study investigated hateful user detection on social networks. By investigating and combining users' content and behaviour properties, as well as users' relationship properties, this thesis designed and constructed effective models to represent users. The experiments on real datasets verified the effectiveness of these methods for detecting hateful users on social networks.<p></p>
History
Open access
Yes
Language
English
Copyright notice
All rights reserved
Editor/Contributor(s)
Gang Li
Pagination
173 p.
Degree type
Doctorate
Degree name
Ph.D.
Thesis faculty
Faculty of Science, Engineering and Built Environment