A content-driven reputation system for the wikipedia

@inproceedings{Adler2007ACR,
  title={A content-driven reputation system for the wikipedia},
  author={B. Thomas Adler and Luca de Alfaro},
  booktitle={WWW '07},
  year={2007}
}
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… Expand
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References

SHOWING 1-10 OF 44 REFERENCES
Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study
TLDR
This paper describes the initial investigations into designing and implementing an extensible trust management layer for collaborative and/or aggregated repositories of information, and presents a trust computation algorithm with experimental results. Expand
Computing trust from revision history
TLDR
This paper explores ways of utilizing the revision history of an article to assess the trustworthiness of the article and uses this revision history-based trust model to assess a chain of successive versions of articles in Wikipedia and evaluated the assessments produced by the model. Expand
The Eigentrust algorithm for reputation management in P2P networks
TLDR
An algorithm to decrease the number of downloads of inauthentic files in a peer-to-peer file-sharing network that assigns each peer a unique global trust value, based on the peer's history of uploads is described. Expand
The Digitization of Word-of-Mouth: Promise and Challenges of Online Reputation Systems
Online reputation mechanisms are emerging as a promising alternative to more traditional trust building mechanisms, such as branding and formal contracting, in settings where the latter may beExpand
Computing and Applying Trust in Web-based Social Networks
TLDR
It is shown that, in the case where the user's opinion is divergent from the average, the trust-based recommended ratings are more accurate than several other common collaborative filtering techniques. Expand
Propagation of trust and distrust
TLDR
It is shown that a small number of expressed trusts/distrust per individual allows us to predict trust between any two people in the system with high accuracy. Expand
Reputation systems
Systems T he Internet offers vast new opportunities to interact with total strangers. These interactions can be fun, informative, even profitable. But they also involve risk. Is the advice of aExpand
Pennies from Ebay: The Determinants of Price in Online Auctions
This paper presents an exploratory analysis of the determinants of prices in online auctions for collectible United States one-cent coins at the eBay web site. Starting with an initial data set ofExpand
The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms
TLDR
This paper discusses some important dimensions in which Internet-based feedback mechanisms differ from traditional word-of-mouth networks and surveys the most important issues related to their design, evaluation, and use. Expand
Puppy smoothies: Improving the reliability of open, collaborative wikis
TLDR
This paper provides a practical proposal for improving user confidence in wiki information by coloring the text of a wiki article based on the venerability of the text on the philosophy that bad information is less likely to survive a collaborative editing process over large numbers of edits. Expand
...
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2
3
4
5
...