The Study of Identification and Classification on Key Cognitive Heuristics of Online Inaccurate Information Credibility: A Grounded Theory Perspective

  • Chen Kai ,
  • Yin Chunxiao
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  • College of Computer and Information Science, Southwest University, Chongqing 400715

Received date: 2019-11-05

  Revised date: 2020-03-25

  Online published: 2020-07-05

Abstract

[Purpose/significance] The identification of key cognitive heuristics of online inaccurate information credibility can provide theoretical suggestions for information dissemination, and provide some guidance for industry and government about how to control inaccurate information dissemination.[Method/process] Based on structured interview data of 18 online users, adopting grounded theory, 10 key cognitive heuristics were identified and a classification model was built based on 4 types of cognitive heuristics.[Result/conclusion] Consensus heuristics, self-cognition heuristics, and consistency heuristics are dominate cognitive heuristics; authentication heuristics and reputation heuristics are promising cognitive heuristics; appearance heuristics, transmission heuristics and content heuristics are supportive cognitive heuristics; novelty heuristics and Intent heuristics are driving cognitive heuristics.

Cite this article

Chen Kai , Yin Chunxiao . The Study of Identification and Classification on Key Cognitive Heuristics of Online Inaccurate Information Credibility: A Grounded Theory Perspective[J]. Library and Information Service, 2020 , 64(13) : 100 -110 . DOI: 10.13266/j.issn.0252-3116.2020.13.014

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