Analyzing Political Communication with Digital Trace Data : The Role of Twitter Messages in Social Science Research

Lade...
Vorschaubild
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2015
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
978-3-319-20318-8
Bibliografische Daten
Verlag
Cham [u.a.]: Springer
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Dissertation anderer Hochschule
Publikationsstatus
Published
Erschienen in
Zusammenfassung

This book offers a framework for the analysis of political communication in election campaigns based on digital trace data that documents political behavior, interests and opinions. The author investigates the data-generating processes leading users to interact with digital services in politically relevant contexts. These interactions produce digital traces, which in turn can be analyzed to draw inferences on political events or the phenomena that give rise to them. Various factors mediate the image of political reality emerging from digital trace data, such as the users of digital services’ political interests, attitudes or attention to politics. In order to arrive at valid inferences about the political reality on the basis of digital trace data, these mediating factors have to be accounted for. The author presents this interpretative framework in a detailed analysis of Twitter messages referring to politics in the context of the 2009 federal elections in Germany. This book will appeal to scholars interested in the field of political communication, as well as practitioners active in the political arena.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
320 Politik
Schlagwörter
Political Communication; Communication Studies; Media Research; Computational Social Science; Twitter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690JUNGHERR, Andreas, 2015. Analyzing Political Communication with Digital Trace Data : The Role of Twitter Messages in Social Science Research [Dissertation]. Bamberg: Universität. Cham [u.a.]: Springer. ISBN 978-3-319-20318-8
BibTex
@phdthesis{Jungherr2015Analy-36416,
  year={2015},
  doi={10.1007/978-3-319-20319-5},
  publisher={Springer},
  title={Analyzing Political Communication with Digital Trace Data : The Role of Twitter Messages in Social Science Research},
  address={Bamberg},
  school={Universität},
  url={http://link.springer.com/book/10.1007%2F978-3-319-20319-5},
  author={Jungherr, Andreas}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36416">
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/36416"/>
    <dcterms:title>Analyzing Political Communication with Digital Trace Data : The Role of Twitter Messages in Social Science Research</dcterms:title>
    <dc:publisher>Cham [u.a.]</dc:publisher>
    <dcterms:issued>2015</dcterms:issued>
    <dc:language>eng</dc:language>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dc:publisher>Springer</dc:publisher>
    <dc:contributor>Jungherr, Andreas</dc:contributor>
    <dcterms:abstract xml:lang="eng">This book offers a framework for the analysis of political communication in election campaigns based on digital trace data that documents political behavior, interests and opinions. The author investigates the data-generating processes leading users to interact with digital services in politically relevant contexts. These interactions produce digital traces, which in turn can be analyzed to draw inferences on political events or the phenomena that give rise to them. Various factors mediate the image of political reality emerging from digital trace data, such as the users of digital services’ political interests, attitudes or attention to politics. In order to arrive at valid inferences about the political reality on the basis of digital trace data, these mediating factors have to be accounted for. The author presents this interpretative framework in a detailed analysis of Twitter messages referring to politics in the context of the 2009 federal elections in Germany. This book will appeal to scholars interested in the field of political communication, as well as practitioners active in the political arena.</dcterms:abstract>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-12-20T08:40:26Z</dcterms:available>
    <bibo:issn>978-3-319-20318-8</bibo:issn>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-12-20T08:40:26Z</dc:date>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dc:creator>Jungherr, Andreas</dc:creator>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
Prüfdatum der URL
2016-12-20
Prüfungsdatum der Dissertation
Hochschulschriftenvermerk
Bamberg, Universität, Diss., 2014
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Diese Publikation teilen