A study on real-time low-quality content detection on Twitter from the users’ perspective

Detection techniques of malicious content such as spam and phishing on Online Social Networks (OSN) are common with little attention paid to other types of low-quality content which actually impacts users’ content browsing experience most. The aim of our work is to detect low-quality content from th...

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Bibliographic Details
Main Authors: Chen, Weiling, Yeo, Chai Kiat, Lau, Chiew Tong, Lee, Bu Sung
Other Authors: Suleman, Hussein
Format: Article
Language:English
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/10356/86664
http://hdl.handle.net/10220/44184
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Institution: Nanyang Technological University
Language: English