The String-to-String Correction Problem
Journal of the ACM (JACM)
The string-to-string correction problem with block moves
ACM Transactions on Computer Systems (TOCS)
The Wiki way: quick collaboration on the Web
The Wiki way: quick collaboration on the Web
The string edit distance matching problem with moves
ACM Transactions on Algorithms (TALG)
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
Does it matter who contributes: a study on featured articles in the german wikipedia
Proceedings of the eighteenth conference on Hypertext and hypermedia
Quantitative analysis of thewikipedia community of users
Proceedings of the 2007 international symposium on Wikis
Cooperation and quality in wikipedia
Proceedings of the 2007 international symposium on Wikis
Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Taking up the mop: identifying future wikipedia administrators
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Analyzing collaborative learning activities in wikis using social network analysis
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Highlighting disputed claims on the web
Proceedings of the 19th international conference on World wide web
Who integrates the networks of knowledge in Wikipedia?
Proceedings of the 6th International Symposium on Wikis and Open Collaboration
What did they do? Deriving high-level edit histories in Wikis
Proceedings of the 6th International Symposium on Wikis and Open Collaboration
Rating the raters: a reputation system for wiki-like domains
Proceedings of the 3rd international conference on Security of information and networks
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Reputation systems for open collaboration
Communications of the ACM
Co-authorship 2.0: patterns of collaboration in Wikipedia
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Characterizing Wikipedia pages using edit network motif profiles
Proceedings of the 3rd international workshop on Search and mining user-generated contents
QualityRank: assessing quality of wikipedia articles by mutually evaluating editors and texts
Proceedings of the 23rd ACM conference on Hypertext and social media
The creation of a corpus of English metalanguage
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Using edit sessions to measure participation in wikipedia
Proceedings of the 2013 conference on Computer supported cooperative work
Drawing a data-driven portrait of Wikipedia editors
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Classifying Wikipedia articles using network motif counts and ratios
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Mutual evaluation of editors and texts for assessing quality of Wikipedia articles
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Attributing authorship of revisioned content
Proceedings of the 22nd international conference on World Wide Web
Assessing quality score of Wikipedia article using mutual evaluation of editors and texts
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Trust, but verify: predicting contribution quality for knowledge base construction and curation
Proceedings of the 7th ACM international conference on Web search and data mining
WikiWho: precise and efficient attribution of authorship of revisioned content
Proceedings of the 23rd international conference on World wide web
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We consider the problem of measuring user contributions to versioned, collaborative bodies of information, such as wikis. Measuring the contributions of individual authors can be used to divide revenue, to recognize merit, to award status promotions, and to choose the order of authors when citing the content. In the context of the Wikipedia, previous works on author contribution estimation have focused on two criteria: the total text created, and the total number of edits performed. We show that neither of these criteria work well: both techniques are vulnerable to manipulation, and the total-text criterion fails to reward people who polish or re-arrange the content. We consider and compare various alternative criteria that take into account the quality of a contribution, in addition to the quantity, and we analyze how the criteria differ in the way they rank authors according to their contributions. As an outcome of this study, we propose to adopt total edit longevity as a measure of author contribution. Edit longevity is resistant to simple attacks, since edits are counted towards an author's contribution only if other authors accept the contribution. Edit longevity equally rewards people who create content, and people who rearrange or polish the content. Finally, edit longevity distinguishes the people who contribute little (who have contribution close to zero) from spammers or vandals, whose contribution quickly grows negative.