A study on rumour detection on online social networks

A study on rumour detection on online social networks

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...

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

Internet

http://hdl.handle.net/10356/70315

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