How search engine marketing influences user knowledge gain : development and empirical testing of an information search behavior model

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Autor/in:
Verlag/Körperschaft:
Association for Computing Machinery
Erscheinungsjahr:
2023
Medientyp:
Text
Schlagworte:
  • knowledge gain
  • paid search marketing
  • search as learning
  • search engine marketing
  • search engine optimization
  • Search engines
  • user behavior
  • Computer Science - Information Retrieval
  • 68P20
  • H.3.3
  • 020: Bibliotheks- und Informationswissenschaft
  • ddc:020
Beschreibung:
  • People use search engines to find answers to questions related to their health, finances, or other socially relevant issues. However, most users are unaware that search results are considerably influenced by search engine marketing (SEM). SEM measures are driven by commercial, political, or other motives. Due to these motivations, two questions arise: What information quality is mediated through SEM? And how is collecting documents of different quality affecting user knowledge gain? Both questions are not considered by existing models of information behavior. Hence, the doctoral research project described in this paper aims to develop and empirically test an information search behavior model on the influences of SEM on user knowledge gain and thereby contribute to the search as learning body of research.
  • Deutsche Forschungsgemeinschaft
  • PeerReviewed
Quellsystem:
ReposIt

Interne Metadaten
Quelldatensatz
oai:reposit.haw-hamburg.de:20.500.12738/13731