open access publication

Article, 2024

Facts, values, and the epistemic authority of journalism: How journalists use and define the terms fake news, junk news, misinformation, and disinformation

Nordicom Review, ISSN 2001-5119, 1403-1108, Volume 45, 1, Pages 137-157, 10.2478/nor-2024-0016

Contributors

Farkas, Johan [1] Schousboe, Sabina 0000-0003-4524-7691 [1]

Affiliations

  1. [1] University of Copenhagen
  2. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Abstract In this article, we examine how journalists try to uphold ideals of objectivity, clarity, and epistemic authority when using four overlapping terms: fake news, junk news, misinformation, and disinformation. Drawing on 16 qualitative interviews with journalists in Denmark, our study finds that journalists struggle to convert the ideals of clarity and objectivity into a coherent conceptual practice. Across interviews, journalists disagree on which concepts to use and how to define them, accusing academics of producing too technical definitions, politicians of diluting meaning, and journalistic peers of being insufficiently objective. Drawing on insights from journalism scholarship and rhetorical argumentation theory, we highlight how such disagreements reveal a fundamental tension in journalistic claims to epistemic authority, causing a continuous search for unambiguous terms, which in turn produces the very ambiguity that journalists seek to avoid.

Keywords

Denmark, academics, argumentation theory, authors, claims, clarity, concept, conceptual practices, continuous search, definition, disagreement, disinformation, epistemic authority, facts, fake news, fundamental tension, ideal, ideal of objectivity, interviews, journalism scholarship, journalistic claims, journalists, journals, mean, misinformation, news, objective, peer, politicians, practice, qualitative interviews, scholarship, search, study, technical definition, tension, theory, values

Funders

  • Carlsberg Foundation

Data Provider: Digital Science