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1000 Titel
  • Einführung zur Qualität von Medizinjournalismus und erste Einschätzungen zur COVID-19-Berichterstattung
1000 Titelzusatz
  • Introduction to the quality of medical journalism and initial assessments of COVID-19 media coverage
1000 Autor/in
  1. Daube, Dominik |
  2. Ruhrmann, Georg |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-11-30
1000 Erschienen in
1000 Quellenangabe
  • 64(1):3-11
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00103-020-03249-x |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703508/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The media landscape is subject to constant change; innovative media technologies increasingly influence the world we live in. While digital media are increasingly being consumed by all age groups and laypersons frequently obtain information on health and medical topics on the Internet, the question of the quality of (journalistic) content on the Web arises. The roles of journalists are changing and scientists are experiencing new opportunities and challenges in the digital distribution of research results. Which qualitative requirements have to be met by these contents and which potentials and opportunities, but also risks, do online disseminated and received information entail?This article describes the topics of medical and health communication and the processes of journalistic reporting. Subsequently, we discuss the criterion of 'evidence,' which is already established in medicine, as a possible approach to the evaluation of health-relevant and medical information. Finally, we discuss the corona pandemic in the context of growing media populism.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Evidence
lokal Framing
lokal Leitthema
lokal Mass Media [MeSH]
lokal Humans [MeSH]
lokal Expert communication
lokal Journalism
lokal Expertenkommunikation
lokal Internet [MeSH]
lokal COVID-19 [MeSH]
lokal Germany [MeSH]
lokal Evidenz
lokal Journalismus
lokal SARS-CoV-2 [MeSH]
lokal Digitalisierung
lokal Digitization
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RGF1YmUsIERvbWluaWs=|https://frl.publisso.de/adhoc/uri/UnVocm1hbm4sIEdlb3Jn
1000 Hinweis
  • DeepGreen-ID: ac2e74ab1b7b4700af8fd14ed40ee42b ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-04-25T17:59:45.928+0200
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1000 Zuletzt bearbeitet 2023-10-19T10:39:11.446+0200
1000 Objekt bearb. Thu Oct 19 10:39:11 CEST 2023
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1000 Oai Id
  1. oai:frl.publisso.de:frl:6441655 |
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