Publisher DOI: 10.1145/3576840.3578297
10.48550/arXiv.2301.10086
Title: How search engine marketing influences user knowledge gain : development and empirical testing of an information search behavior model
Language: English
Authors: Schultheiß, Sebastian  
Editor: Gwizdka, Jacek 
Rieh, Soo Young 
Keywords: 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
Issue Date: 20-Mar-2023
Publisher: Association for Computing Machinery
Book title: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval
Part of Series: ACM Conferences 
Startpage: 475
Endpage: 478
Project: Multiperspektivische Betrachtung des Einflusses der Suchmaschinenoptimierung auf die Qualität von Suchergebnissen und das Verhalten der NutzerInnen 
Conference: ACM SIGIR Conference on Human Information Interaction and Retrieval 2023 
Abstract: 
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
Review status: This version was peer reviewed (peer review)
Institute: Fakultät Design, Medien und Information 
Department Information 
Forschungsgruppe Search Studies 
Type: Chapter/Article (Proceedings)
Additional note: Preprint: https://doi.org/10.48550/arXiv.2301.10086. Verlagsversion: https://doi.org/10.1145/3576840.3578297.
Funded by: Deutsche Forschungsgemeinschaft 
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