Assessing Post Usage for Measuring the Quality of Forum Posts

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...

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Bibliographic Details
Main Authors: Chai, Kevin, Hayati, Pedram, Potdar, Vidyasagar, Wu, Chen, Talevski, Alex
Other Authors: Leila Ismail
Format: Conference Paper
Published: IEEE 2010
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/23401
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author Chai, Kevin
Hayati, Pedram
Potdar, Vidyasagar
Wu, Chen
Talevski, Alex
author2 Leila Ismail
author_facet Leila Ismail
Chai, Kevin
Hayati, Pedram
Potdar, Vidyasagar
Wu, Chen
Talevski, Alex
author_sort Chai, Kevin
building Curtin Institutional Repository
collection Online Access
description 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.
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format Conference Paper
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institution Curtin University Malaysia
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last_indexed 2025-11-14T07:47:59Z
publishDate 2010
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spelling curtin-20.500.11937-234012023-01-13T07:56:31Z Assessing Post Usage for Measuring the Quality of Forum Posts Chai, Kevin Hayati, Pedram Potdar, Vidyasagar Wu, Chen Talevski, Alex Leila Ismail Elizabeth Chang Achim P Karduck user generated content forums content usage web usage mining content quality assessment 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. 2010 Conference Paper http://hdl.handle.net/20.500.11937/23401 10.1109/DEST.2010.5610640 IEEE fulltext
spellingShingle user generated content
forums
content usage
web usage mining
content quality assessment
Chai, Kevin
Hayati, Pedram
Potdar, Vidyasagar
Wu, Chen
Talevski, Alex
Assessing Post Usage for Measuring the Quality of Forum Posts
title Assessing Post Usage for Measuring the Quality of Forum Posts
title_full Assessing Post Usage for Measuring the Quality of Forum Posts
title_fullStr Assessing Post Usage for Measuring the Quality of Forum Posts
title_full_unstemmed Assessing Post Usage for Measuring the Quality of Forum Posts
title_short Assessing Post Usage for Measuring the Quality of Forum Posts
title_sort assessing post usage for measuring the quality of forum posts
topic user generated content
forums
content usage
web usage mining
content quality assessment
url http://hdl.handle.net/20.500.11937/23401