Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

The Rise of AI-powered Search Engines: Implications for Online Search Behavior and Search Advertising

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

The Rise of AI-powered Search Engines: Implications for Online Search Behavior and Search Advertising

Published Date

2024-05

Publisher

Type

Thesis or Dissertation

Abstract

The emergence of AI-powered search engines (AIPSEs) present enormous opportunities and challenges for the future of research on search engine behavior and advertising alike. To address these opportunities and challenges, a multimethod study (survey and online observation) was conducted examining relationships surrounding perceptions of different technological affordances offered by AIPSEs and traditional search engines (TSEs), motivations for using each type of SE, behavioral intentions to use each in the future, and actual use behavior. Survey results show that participants perceive the technological affordances of AIPSEs and TSEs to be distinct in several facets, finding AIPSEs to be more cool, social, and responsive while finding that TSEs provide more variety and are easier to navigate. Online search observation results showed heavier reliance on TSEs than AIPSEs, more elaborative keyword use on AIPSEs, and heightened use of AIPSEs in advice-seeking circumstances, among other findings. These results offer both theoretical and practical implications.

Description

University of Minnesota M.A. thesis. May 2024. Major: Mass Communication. Advisor: Jisu Huh. 1 computer file (PDF); iv, 109 pages.

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Garlough-Shah, Gabriel. (2024). The Rise of AI-powered Search Engines: Implications for Online Search Behavior and Search Advertising. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/264255.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.