A content-driven reputation system for the Wikipedia
| A content-driven reputation system for the Wikipedia | |
| Author(s) | B. Thomas Adler, Luca de Alfaro |
| Published in | Unknown [+] |
| Date | 2007 |
| Volume | Unknown [+] |
| Issue | Unknown [+] |
| Page(s) | 261-270 |
| Keyword(s) | Unknown [+] |
| Peer-reviewed? | Unknown [+] |
| Language(s) | English |
| License(s) | Unknown [+] |
| Identifiers | |
| ISBN | Unknown [+] |
| DOI | 10.1145/1242572.1242608 |
| OCLC Number | Unknown [+] |
| CiteULike | 1291537 |
| arXiv | Unknown [+] |
| PubMed | Unknown [+] |
| Related material | |
| Concept(s) | Unknown [+] |
| Tool(s) | WikiTrust |
| Dataset(s) | Unknown [+] |
| Slides | Not available [+] |
| Presentation | Not available [+] |
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A content-driven reputation system for the Wikipedia is a 2007 publication written in English by B. Thomas Adler, Luca de Alfaro.
[edit] Abstract
We present a content-driven reputation system for Wikipedia authors. In our system, authors gain reputation when the edits they perform to Wikipedia articles are preserved by subsequent authors, and they lose reputation when their edits are rolled back or undone in short order. Thus, author reputation is computed solely on the basis of content evolution; user-to-user comments or ratings are not used. The author reputation we compute could be used to flag new contributions from low-reputation authors, or it could be used to allow only authors with high reputation to contribute to controversialor critical pages. A reputation system for the Wikipedia could also provide an incentive for high-quality contributions. We have implemented the proposed system, and we have used it to analyze the entire Italian and French Wikipedias, consisting of a total of 691,551 pages and 5,587,523 revisions. Our results show that our notion of reputation has good predictive value: changes performed by low-reputation authors have a significantly larger than average probability of having poor quality, as judged by human observers, and of being later undone, as measured by our algorithms.
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Cited by
This publication has 9 citations. Only those publications available in WikiPapers are shown here:- A Characterization of Wikipedia Content Based on Motifs in the Edit Graph
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- Towards a diversity-minded Wikipedia
- Um método automático para estimativa da qualidade de enciclopédias colaborativas on-line: um estudo de caso sobre a Wikipédia
- What Did They Do? Deriving High-Level Edit Histories in Wikis
- Zawilinski: a library for studying grammar in Wiktionary
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