Measuring Reliability in Wikipedia Wen-Yuan Zhu

Outline Introduction Some term of Wikipedia Basic concept of measuring reliability A way to measure reliability Conclusion Reference

Introduction Wikipedia is the most popular online cooperation cyclopedia it has rich phenomenon which is difference to internet network and common webs

Some term of Wikipedia

Some term of Wikipedia(2) feature article – to be considered to be the best articles in Wikipedia – as determined by Wikipedian – at present, there are 1683 featured articles

Some term of Wikipedia(3) if an article is a feature article, it will show the icon at right corner

Some term of Wikipedia(4) articles are reviewed at Wikipedia:Featured article candidates according to Wikipedia:Featured article criteria

Some term of Wikipedia(5) make sure that it meets all of the featured article criteria consensus must be reached that it meets the criteria

Some term of Wikipedia(6) articles that no longer meet the criteria can be proposed for improvement or removal at Wikipedia:Featured article review

Some term of Wikipedia(7) clean-up article – cleanup issues that this project covers may include wikification, spelling, grammar, tone, and sourcing – anyone can require to cleanup some page in Wikipedia:Cleanup

Some term of Wikipedia(8)

Basic concept of measuring reliability if the article has the higher link ratio, the article has the higher reliability this part referred to [2]

Basic concept of measuring reliability(2) class of terms

Basic concept of measuring reliability(3) relation between full name and short

Basic concept of measuring reliability(4) Relation between PageRank and Link-ratio

Basic concept of measuring reliability(5) it is not enough to measuring reliability only rely on linking data there are too many factors to influence reliability of article in Wikipedia

A way to measure reliability to use Bayesian statistic to model reliability in Wikipedia to use revision history to assess the reliability of article in Wikipedia this part referred to [3]

A way to measure reliability(2)

A way to measure reliability(3) article trust – trustworthiness of a version of an article fragment trust – trustworthiness of a fragment in a version of an article author trust – trustworthiness of an author

A way to measure reliability(4) is the version of an article is the trust value of the author who revised is the trust value of is the inserted content in by is the deleted content in by is the size of

A way to measure reliability(5)

A way to measure reliability(6) Dynamic Bayesian networks – to be defined by a pair is the graph structure of the network is the set of the network’s conditional density distributions

A way to measure reliability(7) from to, the state at the revision is represented as a quad the states satisfies the Markov property – since,

A way to measure reliability(8)

A way to measure reliability(9) to determine the posterior density distribution of is fully characterized by and

A way to measure reliability(10) the Beta distribution where is the beta function with and

A way to measure reliability(11)

A way to measure reliability(12) to assume let is the mean of then or

A way to measure reliability(13)

A way to measure reliability(14) featured articles – considered highly trustworthy clean-up articles – considered untrustworthy Normal articles – remaining articles

A way to measure reliability(15) administrators – registered authors – anonymous authors – blocked users –

A way to measure reliability(16) a set of English articles from the Geography category in Wikipedia in January featured articles 50 clean-up articles 768 normal articles manually classify

A way to measure reliability(17) U.S. National Forest in Wikipedia created by an anonymous author

A way to measure reliability(18) is mean of the posterior density distribution

A way to measure reliability(19) to developed a classifier based on aforementioned 50 featured articles and 50 clean-up articles the training set contains 100 pairs, where is the trust value of an article and is its class

A way to measure reliability(20) the learned rule for feature article is the test size of 200 new articles(48805 revisions) was evaluated the accuracy of prediction is 82%

A way to measure reliability(21) to use trust track to predict events

A way to measure reliability(22) the method has some problems – the reliability of author is not a constant – the test set of classifier is too small – what is the predicting standards of predict events

Conclusion An overview of Wikipedia and measuring reliability in Wikipedia to introduce some ways to measuring reliability in Wikipedia to realize difficult problems of measuring reliability in Wikipedia

Reference [1] [2] D. McGuinness, H. Zeng, Pda Silva, LDing, DNarayanan, and MBhaowal. Investigation into trust for collaborative information repositories: A Wikipedia case study. In Proceedings of the Workshop on Models of Trust for the Web, [3] H. Zeng, M. Alhoussaini, L. Ding, R. Fikes, and D. McGuinness. Computing trust from revision history. In Intl. Conf. on Privacy, Security and Trust, 2006.