Corpus GrippeAllemagneV3

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

[The pandemic of the experts in the mass media. How to create trust in public communication by acknowledging ignorance and uncertainty].

Identifieur interne : 000184 ( Main/Exploration ); précédent : 000183; suivant : 000185

[The pandemic of the experts in the mass media. How to create trust in public communication by acknowledging ignorance and uncertainty].

Auteurs : V. Stollorz

Source :

RBID : pubmed:23275963

Descripteurs français

English descriptors

Abstract

The first influenza pandemic in the twenty-first century is an example of how public trust in expert recommendations can erode if prognostic ability of these experts is suddenly doubted in the mass media. A highly consonant pandemic alarm communicated through the mass media can later cause heightened resonance concerning the appropriateness of the same alarm. In this case a paradoxical effect can develop, in which the same media outlet first paints an overly risky picture of an unfolding pandemic only to later condemn this assessment as alarmist. Can such behavior be considered a defect of journalism? In this article I describe the circumstances under which such media dynamics and "hypes" without trust in expertise are more likely to develop: when there is nontransparent decision making; when uncertainty and nescience of expert judgments are not communicated transparently; when warnings and measures taken are not readily adapted to the evolving risk situation in reality. If these basic principles are recognized in future pandemic risk communication, long-term public trust in scientific expertise can be secured. In this way, despite a public health crisis, a long-lasting break in the credibility of sound science can be avoided.

DOI: 10.1007/s00103-012-1581-5
PubMed: 23275963


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">[The pandemic of the experts in the mass media. How to create trust in public communication by acknowledging ignorance and uncertainty].</title>
<author>
<name sortKey="Stollorz, V" sort="Stollorz, V" uniqKey="Stollorz V" first="V" last="Stollorz">V. Stollorz</name>
<affiliation>
<nlm:affiliation>stollorz@googlemail.com</nlm:affiliation>
<wicri:noCountry code="no comma">stollorz@googlemail.com</wicri:noCountry>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2013">2013</date>
<idno type="RBID">pubmed:23275963</idno>
<idno type="pmid">23275963</idno>
<idno type="doi">10.1007/s00103-012-1581-5</idno>
<idno type="wicri:Area/Main/Corpus">000206</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000206</idno>
<idno type="wicri:Area/Main/Curation">000206</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000206</idno>
<idno type="wicri:Area/Main/Exploration">000206</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">[The pandemic of the experts in the mass media. How to create trust in public communication by acknowledging ignorance and uncertainty].</title>
<author>
<name sortKey="Stollorz, V" sort="Stollorz, V" uniqKey="Stollorz V" first="V" last="Stollorz">V. Stollorz</name>
<affiliation>
<nlm:affiliation>stollorz@googlemail.com</nlm:affiliation>
<wicri:noCountry code="no comma">stollorz@googlemail.com</wicri:noCountry>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</title>
<idno type="eISSN">1437-1588</idno>
<imprint>
<date when="2013" type="published">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Germany (epidemiology)</term>
<term>Health Communication (methods)</term>
<term>Humans</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (prevention & control)</term>
<term>Information Dissemination (methods)</term>
<term>Internationality</term>
<term>Mass Media (statistics & numerical data)</term>
<term>Pandemics (prevention & control)</term>
<term>Pandemics (statistics & numerical data)</term>
<term>Public Opinion</term>
<term>Risk Management (methods)</term>
<term>Risk Management (organization & administration)</term>
<term>Trust</term>
<term>Uncertainty</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Allemagne (épidémiologie)</term>
<term>Communication sur la santé ()</term>
<term>Confiance</term>
<term>Diffusion de l'information ()</term>
<term>Gestion du risque ()</term>
<term>Gestion du risque (organisation et administration)</term>
<term>Grippe humaine ()</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Humains</term>
<term>Incertitude</term>
<term>Internationalité</term>
<term>Mass-médias ()</term>
<term>Opinion publique</term>
<term>Pandémies ()</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en">
<term>Germany</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Health Communication</term>
<term>Information Dissemination</term>
<term>Risk Management</term>
</keywords>
<keywords scheme="MESH" qualifier="organisation et administration" xml:lang="fr">
<term>Gestion du risque</term>
</keywords>
<keywords scheme="MESH" qualifier="organization & administration" xml:lang="en">
<term>Risk Management</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en">
<term>Influenza, Human</term>
<term>Pandemics</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en">
<term>Mass Media</term>
<term>Pandemics</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Allemagne</term>
<term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Humans</term>
<term>Internationality</term>
<term>Public Opinion</term>
<term>Trust</term>
<term>Uncertainty</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Communication sur la santé</term>
<term>Confiance</term>
<term>Diffusion de l'information</term>
<term>Gestion du risque</term>
<term>Grippe humaine</term>
<term>Humains</term>
<term>Incertitude</term>
<term>Internationalité</term>
<term>Mass-médias</term>
<term>Opinion publique</term>
<term>Pandémies</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>Allemagne</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">The first influenza pandemic in the twenty-first century is an example of how public trust in expert recommendations can erode if prognostic ability of these experts is suddenly doubted in the mass media. A highly consonant pandemic alarm communicated through the mass media can later cause heightened resonance concerning the appropriateness of the same alarm. In this case a paradoxical effect can develop, in which the same media outlet first paints an overly risky picture of an unfolding pandemic only to later condemn this assessment as alarmist. Can such behavior be considered a defect of journalism? In this article I describe the circumstances under which such media dynamics and "hypes" without trust in expertise are more likely to develop: when there is nontransparent decision making; when uncertainty and nescience of expert judgments are not communicated transparently; when warnings and measures taken are not readily adapted to the evolving risk situation in reality. If these basic principles are recognized in future pandemic risk communication, long-term public trust in scientific expertise can be secured. In this way, despite a public health crisis, a long-lasting break in the credibility of sound science can be avoided.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" Owner="NLM">
<PMID Version="1">23275963</PMID>
<DateCompleted>
<Year>2013</Year>
<Month>11</Month>
<Day>25</Day>
</DateCompleted>
<DateRevised>
<Year>2016</Year>
<Month>07</Month>
<Day>07</Day>
</DateRevised>
<Article PubModel="Print">
<Journal>
<ISSN IssnType="Electronic">1437-1588</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>56</Volume>
<Issue>1</Issue>
<PubDate>
<Year>2013</Year>
<Month>Jan</Month>
</PubDate>
</JournalIssue>
<Title>Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</Title>
<ISOAbbreviation>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</ISOAbbreviation>
</Journal>
<ArticleTitle>[The pandemic of the experts in the mass media. How to create trust in public communication by acknowledging ignorance and uncertainty].</ArticleTitle>
<Pagination>
<MedlinePgn>110-7</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1007/s00103-012-1581-5</ELocationID>
<Abstract>
<AbstractText>The first influenza pandemic in the twenty-first century is an example of how public trust in expert recommendations can erode if prognostic ability of these experts is suddenly doubted in the mass media. A highly consonant pandemic alarm communicated through the mass media can later cause heightened resonance concerning the appropriateness of the same alarm. In this case a paradoxical effect can develop, in which the same media outlet first paints an overly risky picture of an unfolding pandemic only to later condemn this assessment as alarmist. Can such behavior be considered a defect of journalism? In this article I describe the circumstances under which such media dynamics and "hypes" without trust in expertise are more likely to develop: when there is nontransparent decision making; when uncertainty and nescience of expert judgments are not communicated transparently; when warnings and measures taken are not readily adapted to the evolving risk situation in reality. If these basic principles are recognized in future pandemic risk communication, long-term public trust in scientific expertise can be secured. In this way, despite a public health crisis, a long-lasting break in the credibility of sound science can be avoided.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Stollorz</LastName>
<ForeName>V</ForeName>
<Initials>V</Initials>
<AffiliationInfo>
<Affiliation>stollorz@googlemail.com</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>ger</Language>
<PublicationTypeList>
<PublicationType UI="D004740">English Abstract</PublicationType>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<VernacularTitle>Die Expertenpandemie in den Massenmedien. Wie die Kommunikation von Nichtwissen und Unsicherheiten Vertrauen schaffen kann.</VernacularTitle>
</Article>
<MedlineJournalInfo>
<Country>Germany</Country>
<MedlineTA>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</MedlineTA>
<NlmUniqueID>101181368</NlmUniqueID>
<ISSNLinking>1436-9990</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D058015" MajorTopicYN="N">Health Communication</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D033181" MajorTopicYN="N">Information Dissemination</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D038622" MajorTopicYN="N">Internationality</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008402" MajorTopicYN="N">Mass Media</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011639" MajorTopicYN="Y">Public Opinion</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012308" MajorTopicYN="N">Risk Management</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName>
<QualifierName UI="Q000458" MajorTopicYN="N">organization & administration</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D035502" MajorTopicYN="N">Trust</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D035501" MajorTopicYN="N">Uncertainty</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="entrez">
<Year>2013</Year>
<Month>1</Month>
<Day>1</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed">
<Year>2013</Year>
<Month>1</Month>
<Day>1</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2013</Year>
<Month>12</Month>
<Day>16</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">23275963</ArticleId>
<ArticleId IdType="doi">10.1007/s00103-012-1581-5</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations>
<list></list>
<tree>
<noCountry>
<name sortKey="Stollorz, V" sort="Stollorz, V" uniqKey="Stollorz V" first="V" last="Stollorz">V. Stollorz</name>
</noCountry>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/GrippeAllemagneV3/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000184 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000184 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Sante
   |area=    GrippeAllemagneV3
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:23275963
   |texte=   [The pandemic of the experts in the mass media. How to create trust in public communication by acknowledging ignorance and uncertainty].
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:23275963" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a GrippeAllemagneV3 

Wicri

This area was generated with Dilib version V0.6.35.
Data generation: Tue Jul 7 11:47:10 2020. Site generation: Sat Sep 26 09:55:33 2020