Trusting others: A pareto distribution of source and message credibility among news reporters

Aviv Barnoy, Zvi Reich

Research output: Contribution to journalArticlepeer-review

Abstract

This study uses the case study of journalists to explore the socio-cognitive nature of interpersonal trust in growingly deceptive ecosystems. Journalists are ideal test subjects to explore these issues as professional trust allocators, who receive immediate feedback on right and wrong trust decisions. The study differentiates, for the first time, between source and message credibility evaluations, based on a combination of qualitative and quantitative methods. Findings show that journalists can distinguish source and message credibility. However, in practice they rely on source evaluations as an “autopilot” default mode, shifting gears to observations of source and message credibility in epistemically complex cases. The proportion between both is close to Pareto distribution. This extreme division challenges both inductive and mixed inference theories of epistemic trust and suggests revisiting the “typification” doctrine of newswork. Data partially support the hegemony and “epistemic injustice” theory, showing that traditional credibility criteria might trigger the exclusion of nontraditional voices.

Original languageEnglish
Pages (from-to)196-220
Number of pages25
JournalCommunication Research
Volume49
Issue number2
Early online date4 Apr 2020
DOIs
StatePublished - 1 Mar 2022

Keywords

  • journalism
  • knowledge
  • mix method
  • news sources
  • trust

All Science Journal Classification (ASJC) codes

  • Communication
  • Language and Linguistics
  • Linguistics and Language

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