A study on rumour detection on online social networks

• Main Author: Cheng, Gibson
• Other Authors: Yeo Chai Kiat
• Format: Final Year Project
• Language: English
• Published: 2017
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: http://hdl.handle.net/10356/70315
• Institution: Nanyang Technological University

This study seeks to identify the key traits of rumours on online social networks such as Twitter and Facebook. The importance of automating the identification of rumours is growing ever-increasingly important, given the rise of the internet’s popularity as a source of news, and the ever-growing amou...