DocumentCode :
2690536
Title :
Assessing post usage for measuring the quality of forum posts
Author :
Chai, Kevin ; Hayati, Pedram ; Potdar, Vidyasagar ; Wu, Chen ; Talevski, Alex
Author_Institution :
Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ., Perth, WA, Australia
fYear :
2010
fDate :
13-16 April 2010
Firstpage :
233
Lastpage :
238
Abstract :
It has become difficult to discover quality content within forums websites due to the increasing amount of User Generated Content (UGC) on the Web. Many existing websites have relied on their users to explicitly rate content quality. The main problem with this approach is that the majority of content often receives insufficient rating. Current automated content rating solutions have evaluated linguistic features of UGC but are less effective for different types of online communities. We propose a novel approach that assesses post usage to measure the quality of forum posts. Post usage can be viewed as implicit user ratings derived from their usage behaviour. The proposed model is validated against an operational forum using Matthews Correlation Coefficient to measure performance. Our model serves as a basis of exploring content usage to measure content quality in forums and other Web 2.0 platforms.
Keywords :
Web sites; content management; data mining; quality assurance; Matthews Correlation Coefficient; Web 2.0; Web sites; Web usage mining; automated content rating solution; content quality assessment; forum post quality measurement; linguistic feature; online community; user generated content; user rating; Biological system modeling; Communities; Conferences; Correlation; Ecosystems; Mice; Navigation; content quality assessment; content usage; forums; user generated content; web usage mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Ecosystems and Technologies (DEST), 2010 4th IEEE International Conference on
Conference_Location :
Dubai
ISSN :
2150-4938
Print_ISBN :
978-1-4244-5551-5
Type :
conf
DOI :
10.1109/DEST.2010.5610640
Filename :
5610640
Link To Document :
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