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The Dissemination of Scientific Fake News : On the Ranking of Retracted Articles in Google



  • Sven Bernecker
  • Amy K. Flowerree
  • Thomas Grundmann

Summary, in English

Fake news can originate from an ordinary person carelessly posting what turns out to be false information orfrom the intentional actions of fake news factory workers,but broadly speaking it can also originate from scientific fraud. In the latter case, the article can be retracted upon discovery of the fraud. A case study shows, however, that such fake sciencecan be visible in Google even after the article was retracted, in fact more visible thanthe retraction notice. We hypothesize that the reason for this lies in the popularity-based logic governing Google, in particular its foundational PageRank algorithm,in conjunction with a psychological law which we refer to as the “law of retraction”: a retraction notice is typically taken to be less interestingand therefore less popular with internet users than the original content retracted. We conduct anempiricalstudy drawing on records of articles retracted due to fraud (fabrication of data) in the Retraction Watch public database. The study tests the extent to which such retracted scientific articles are still highly ranked in Google –and more so than information about the retraction. We find, among other things, thatboth Google Search and Google Scholar more often than not rankeda link to the original article higher than a link indicating that the article has been retracted.Surprisingly, Google Scholar did not perform better in this regard than Google Search.We also foundcases in which Google didnot track the retraction of anarticle on the first result page at all.We conclude thatboth Google Search and Google Scholar runthe risk of disseminating fake science through theirranking algorithms.


Publishing year







The Epistemology of Fake News

Document type

Book chapter


Oxford University Press


  • Philosophy
  • Information Studies


  • fake news
  • retraction
  • “law of retraction”



Research group

  • Lund University Information Quality Research Group (LUIQ)


  • ISBN: 9780198863977