Verlagslink DOI: 10.1145/3576840.3578297
10.48550/arXiv.2301.10086
Titel: How search engine marketing influences user knowledge gain : development and empirical testing of an information search behavior model
Sprache: Englisch
Autorenschaft: Schultheiß, Sebastian  
Herausgeber*In: Gwizdka, Jacek 
Rieh, Soo Young 
Schlagwörter: 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
Erscheinungsdatum: 20-Mär-2023
Verlag: Association for Computing Machinery
Buchtitel: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval
Teil der Schriftenreihe: ACM Conferences 
Anfangsseite: 475
Endseite: 478
Projekt: Multiperspektivische Betrachtung des Einflusses der Suchmaschinenoptimierung auf die Qualität von Suchergebnissen und das Verhalten der NutzerInnen 
Konferenz: ACM SIGIR Conference on Human Information Interaction and Retrieval 2023 
Zusammenfassung: 
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.
URI: http://hdl.handle.net/20.500.12738/13731
ISBN: 9798400700354
Begutachtungsstatus: Diese Version hat ein Peer-Review-Verfahren durchlaufen (Peer Review)
Einrichtung: Fakultät Design, Medien und Information 
Department Information 
Forschungsgruppe Search Studies 
Dokumenttyp: Konferenzveröffentlichung
Hinweise zur Quelle: Preprint: https://doi.org/10.48550/arXiv.2301.10086. Verlagsversion: https://doi.org/10.1145/3576840.3578297.
Sponsor / Fördernde Einrichtung: Deutsche Forschungsgemeinschaft 
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