Computing Trust from Revision History

Abstract

A new model of distributed, collaborative information evolution is emerging. As exemplified in Wikipedia, online collaborative information repositories are being generated, updated, and maintained by a large and diverse community of users. Issues concerning trust arise when content is generated and updated by diverse populations. Since these information repositories are constantly under revision, trust determination is not simply a static process. In this paper, we explore ways of utilizing the revision history of an article to assess the trustworthiness of the article. We then present an experiment where we used this revision history-based trust model to assess the trustworthiness of a chain of successive versions of articles in Wikipedia and evaluated the assessments produced by the model.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA454704

Entities

People

  • Deborah L. McGuinness
  • Honglei Zeng
  • Li Ding
  • Maher A. Alhossaini
  • Richard Fikes

Organizations

  • Stanford University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Bayesian Inference
  • Bayesian Networks
  • Computations
  • Computer Science
  • Data Science
  • Data Sets
  • Equations
  • Information Science
  • Knowledge Management
  • Machine Learning
  • Monte Carlo Method
  • Network Science
  • Probability
  • Statistical Algorithms
  • Statistics

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation
  • Systems Analysis and Design