Assessing Post Usage for Measuring the Quality of Forum Posts

Chai, Kevin; Hayati, Pedram; Potdar, Vidyasagar; Wu, Chen; Talevski, Alex

doi:10.1109/DEST.2010.5610640

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Access Status

Open access

Authors

Chai, Kevin

Hayati, Pedram

Potdar, Vidyasagar

Wu, Chen

Talevski, Alex

Date

2010

Type

Conference Paper

Metadata

Show full item record

Citation

Chai, Kevin and Hayati, Pedram and Potdar, Vidyasagar and Wu, Chen and Talevski, Alex. 2010. Assessing Post Usage for Measuring the Quality of Forum Posts, in Ismail, L. and Chang, E. and Karduck, A.P. (ed), IEEE international conference on digital ecosystems and technologies (DEST 2010), Apr 12 2010, pp. 233-238. Dubai, United Arab Emirates: IEEE.

Source Title

Proceedings of the IEEE international conference on digital ecosystems and technologies (DEST 2010)

Source Conference

IEEE international conference on digital ecosystems and technologies (DEST 2010)

DOI

10.1109/DEST.2010.5610640

ISBN

9781424455515

School

Digital Ecosystems and Business Intelligence Institute (DEBII)

Remarks

Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/23401

Collection

Curtin Research Publications

Abstract

It has become difficult to discover quality content within forums websites due to the increasing amount of UserGenerated 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.