Publikation:

Refugee or Expat, Hero or Threat : Migrant Queries in Google News Search Results

Lade...
Vorschaubild

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2023

Autor:innen

Urman, Aleksandra
Makhortykh, Mykola

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

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

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

2022: AoIR2022 : Selected Papers in Internet Research 2022 : Research from the Annual Conference of the Association of Internet Researchers. Illinois: University of Illinois Libraries, 2023. eISSN 2162-3317. Verfügbar unter: doi: 10.5210/spir.v2022i0.13085

Zusammenfassung

Search engines play a gatekeeper role in current high-choice information environments. Considered a form of new media, users are still more likely to find and trust news found through search than social media sites. Indeed, search engines are one of the most utilised technologies to find political information, despite audits uncovering biases in their results, for example, towards national outlets over local ones. It is therefore important to keep in mind the potential of search results to affect public opinion. With this study, we investigate how Google search news headlines and snippets differ when varying migrant search terms (e.g., immigrant, refugee, expat). We employ computational text analysis methods as well as qualitative content analysis. Specifically, we employ an automated framework for detecting media frames, originally trained on Twitter data, and attempt to transfer it to news data; this framework allows for a categorization of data to frames of a generic-issue (economy, safety, health) and specific (hero:diversity, threat:jobs) nature. We evaluate its applicability for this novel data source and find that it performs well for frames related economy and security. Our next steps include analysing the results of other computational measures, namely, sentiment, agency and political outlet of the news item. We expect that sentiment and agency will complement the initial results we see based on media frames.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
300 Sozialwissenschaften, Soziologie

Schlagwörter

search engines, media frames, media bias, migrants, stereotypes

Konferenz

Decolonising the internet, 2. Nov. 2022 - 5. Nov. 2022, Dublin, Ireland
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690SEN, Indira, Roberto ULLOA, Aleksandra URMAN, Mykola MAKHORTYKH, Celina KACPERSKI, 2023. Refugee or Expat, Hero or Threat : Migrant Queries in Google News Search Results. Decolonising the internet. Dublin, Ireland, 2. Nov. 2022 - 5. Nov. 2022. In: 2022: AoIR2022 : Selected Papers in Internet Research 2022 : Research from the Annual Conference of the Association of Internet Researchers. Illinois: University of Illinois Libraries, 2023. eISSN 2162-3317. Verfügbar unter: doi: 10.5210/spir.v2022i0.13085
BibTex
@inproceedings{Sen2023-03-29Refug-67722,
  year={2023},
  doi={10.5210/spir.v2022i0.13085},
  title={Refugee or Expat, Hero or Threat : Migrant Queries in Google News Search Results},
  publisher={University of Illinois Libraries},
  address={Illinois},
  booktitle={2022: AoIR2022 : Selected Papers in Internet Research 2022 : Research from the Annual Conference of the Association of Internet Researchers},
  author={Sen, Indira and Ulloa, Roberto and Urman, Aleksandra and Makhortykh, Mykola and Kacperski, Celina}
}
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/123456789/67722">
    <dcterms:title>Refugee or Expat, Hero or Threat : Migrant Queries in Google News Search Results</dcterms:title>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Makhortykh, Mykola</dc:creator>
    <dc:contributor>Makhortykh, Mykola</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/67722"/>
    <dc:language>eng</dc:language>
    <dcterms:issued>2023-03-29</dcterms:issued>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-09-01T09:58:07Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43613"/>
    <dc:contributor>Kacperski, Celina</dc:contributor>
    <dc:creator>Sen, Indira</dc:creator>
    <dc:contributor>Sen, Indira</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-09-01T09:58:07Z</dc:date>
    <dc:contributor>Ulloa, Roberto</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43613"/>
    <dc:creator>Urman, Aleksandra</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dc:creator>Kacperski, Celina</dc:creator>
    <dc:creator>Ulloa, Roberto</dc:creator>
    <dc:contributor>Urman, Aleksandra</dc:contributor>
    <dcterms:abstract>Search engines play a gatekeeper role in current high-choice information environments. Considered a form of new media, users are still more likely to find and trust news found through search than social media sites. Indeed, search engines are one of the most utilised technologies to find political information, despite audits uncovering biases in their results, for example, towards national outlets over local ones. It is therefore important to keep in mind the potential of search results to affect public opinion. With this study, we investigate how Google search news headlines and snippets differ when varying migrant search terms (e.g., immigrant, refugee, expat). We employ computational text analysis methods as well as qualitative content analysis. Specifically, we employ an automated framework for detecting media frames, originally trained on Twitter data, and attempt to transfer it to news data; this framework allows for a categorization of data to frames of a generic-issue (economy, safety, health) and specific (hero:diversity, threat:jobs) nature. We evaluate its applicability for this novel data source and find that it performs well for frames related economy and security. Our next steps include analysing the results of other computational measures, namely, sentiment, agency and political outlet of the news item. We expect that sentiment and agency will complement the initial results we see based on media frames.</dcterms:abstract>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen