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A Novel Heuristic Mechanism to Formalize Online Behavior Through Search Engine Credibility

  • Debora Di Caprio
  • Francisco J. Santos-ArteagaEmail author
Conference paper
  • 738 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1131)

Abstract

The current paper presents a heuristic evaluation mechanism describing the online search behavior of decision makers (DMs) as determined by the credibility of the rankings displayed by search engines. We formalize the incentives of DMs to observe and evaluate alternatives through a pairwise comparison function that accounts for both the ranking positions displayed and the credibility of the search engine. The resulting evaluation framework is implemented to analyze the effects that ranking credibility has on the online search behavior of DMs. In particular, we compare the cumulative frequencies derived from the implementation of the pairwise heuristic evaluation mechanism with the average traffic shares of the different items ranked within a Google result page.

Keywords

Search engine Ranking credibility Online evaluations Uncertainty Subjective perception 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Debora Di Caprio
    • 1
  • Francisco J. Santos-Arteaga
    • 2
    Email author
  1. 1.York UniversityTorontoCanada
  2. 2.Free University of BolzanoBolzanoItaly

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