Corpus ID: 37054460

Do Experts or Collective Intelligence Write with More Bias? Evidence from Encyclopædia Britannica and Wikipedia

  title={Do Experts or Collective Intelligence Write with More Bias? Evidence from Encyclop{\ae}dia Britannica and Wikipedia},
  author={S. Greenstein and F. Zhu},
  • S. Greenstein, F. Zhu
  • Published 2014
  • Political Science
  • Which source of information contains greater bias and slant?text written by an expert or that constructed via collective intelligence? Do the costs of acquiring, storing, displaying and revising information shape those differences? We evaluate this question empirically by examining slanted and biased phrases in content on US political issues from two sources?Encyclopaedia Britannica and Wikipedia. Our overall slant measure is less (more) than zero when an article leans towards Democrat… CONTINUE READING
    16 Citations

    Tables from this paper

    Does Copyright Affect Reuse? Evidence from Google Books and Wikipedia
    • 16
    • PDF
    Wisdom or Madness? Comparing Crowds with Expert Evaluation in Funding the Arts
    • 284
    • Highly Influenced
    • PDF
    User-generated Content and Social Media Harvard Business School
    • PDF
    User-Generated Content and Social Media
    • 47
    The Search for Benchmarks: When Do Crowds Provide Wisdom?
    • 4
    • PDF
    Gender Inequality in New Media: Evidence from Wikipedia
    • 14
    • PDF


    Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis
    • 130
    • PDF
    Wikipedia as a Data Source for Political Scientists: Accuracy and Completeness of Coverage
    • 77
    • PDF
    Is Wikipedia Biased
    • 81
    • PDF
    Collective Intelligence and Neutral Point of View: The Case of Wikipedia
    • 29
    • PDF
    Wiki-Philosophizing in a Marketplace of Ideas: Evaluating Wikipedia's Entries on Seven Great Minds
    • 30
    The Paradox of Novice Contributions to Collective Production: Evidence from Wikipedia
    • 8
    • PDF
    Gender Bias in Wikipedia and Britannica
    • 88
    The Market for News
    • 477
    • PDF
    Identifying Expertise to Extract the Wisdom of Crowds
    • 139
    • PDF