Proceedings:LDA1
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A Content-Driven Reputation System for the Wikipedia | |||||||||||||||||||||||
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| Authors | Luca De Alfaro (University of California, Santa Cruz, USA), Thomas Adler (University of California, Santa Cruz, USA) | ||||||||||||||||||||||
| Track | Wikimedia Community | ||||||||||||||||||||||
| License |  GNU Free Documentation License (details)
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| About the authors | |||||||||||||||||||||||
 Adler (http://www.soe.ucsc.edu/~thumper) is a graduate student in the Computer Science Department of the University of California, Santa Cruz, CA, USA. His interests include game theory, software design, and the Wikipedia. | |||||||||||||||||||||||
| Abstract | |||||||||||||||||||||||
| We present a content-driven reputation system for Wikipedia authors: authors gain reputation when their contributions are long-lived, and they lose reputation when their contributions are undone in short order. We have evaluated such a reputation system on the Italian and French Wikipedias: our data shows that author reputation is a good predictor for the quality of future edits by the author. The reputation could be used to flag out recent text from low-reputation authors, thus providing an automated notion of text trust. The reputation could also be used to grant edit access to controversial pages. | |||||||||||||||||||||||
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