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 |
Appears in Collections: | Publications without full text |
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