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1000 Titel
  • How the Agricultural Press Addresses the Slurry–Water Nexus: A Text Mining Analysis
1000 Autor/in
  1. Artner-Nehls, Astrid Michaela |
  2. Uthes, Sandra |
  3. Zscheischler, Jana |
  4. Feindt, Peter |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-08-12
1000 Erschienen in
1000 Quellenangabe
  • 14(16):10002
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3390/su141610002 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Water pollution from intensive livestock husbandry is a persistent social-ecological problem. Since remedies require attention to the slurry–water nexus among practitioners, the agricultural press is a strategic entry point for agenda setting. Systematic content analysis can provide insights into how farming practices and sustainability issues are communicated, which may influence farmers’ attention to the issue and to potential solutions. To address this question, we present a semantic network analysis of three specialized farming magazines in Germany and analyze their coverage of the slurry–water nexus, in particular relationships of actors and issues and co-occurrence with political events. We used text mining methods in order to analyze a text corpus consisting of 4227 online articles published between 2010 and 2020. Results show that one fifth of all slurry-themed articles contained water-related content. We found a shift over time from dominantly management-oriented content towards a politicized debate with more actors and stronger semantic relationships with water protection constructed as an insulated stand-alone issue. This is accompanied by a shift from thematic reporting to episodic reporting focused on environmental legislation and compliance management. This implies less attention to innovations for water-conserving slurry management. Despite its shortcomings, episodic coverage may open up windows of opportunity to improve communication by experts and policy makers.
1000 Sacherschließung
lokal semantic network analysis
lokal farming press
lokal farmers
lokal co-occurrence
lokal agenda setting
lokal text mining
lokal content analysis
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-4509-113X|https://orcid.org/0000-0002-2527-7052|https://orcid.org/0000-0002-9062-820X|https://orcid.org/0000-0002-5978-5944
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
1000 Fördernummer
  1. 031B0751
1000 Förderprogramm
  1. BioKum
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm BioKum
    1000 Fördernummer 031B0751
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6435511.rdf
1000 Erstellt am 2022-10-14T08:17:23.689+0200
1000 Erstellt von 317
1000 beschreibt frl:6435511
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2022-10-14T08:18:41.755+0200
1000 Objekt bearb. Fri Oct 14 08:18:15 CEST 2022
1000 Vgl. frl:6435511
1000 Oai Id
  1. oai:frl.publisso.de:frl:6435511 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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