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Bink, Markus ; Schwarz, Sebastian ; Draws, Tim ; Elsweiler, David

Investigating the Influence of Featured Snippets on User Attitudes

Bink, Markus, Schwarz, Sebastian, Draws, Tim und Elsweiler, David (2023) Investigating the Influence of Featured Snippets on User Attitudes. In: CHIIR '23: ACM SIGIR Conference on Human Information Interaction and Retrieval, March 19 - 23, 2023, Austin, TX, USA.

Veröffentlichungsdatum dieses Volltextes: 11 Jan 2023 07:38
Konferenz- oder Workshop-Beitrag
DOI zum Zitieren dieses Dokuments: 10.5283/epub.53516


Zusammenfassung

Featured snippets that attempt to satisfy users’ information needs directly on top of the first search engine results page (SERP) have been shown to strongly impact users’ post-search attitudes and beliefs. In the context of debated but scientifically answerable topics, recent research has demonstrated that users tend to trust featured snippets to such an extent that they may reverse their ...

Featured snippets that attempt to satisfy users’ information needs directly on top of the first search engine results page (SERP) have been shown to strongly impact users’ post-search attitudes and beliefs. In the context of debated but scientifically answerable topics, recent research has demonstrated that users tend to trust featured snippets to such an extent that they may reverse their original beliefs based on what such a snippet suggests; even when erroneous information is featured. This paper examines the effect of featured snippets in more nuanced and complicated search scenarios concerning debated topics that have no ground truth and where diverse arguments in favor and against can legitimately be made. We report on a preregistered, online user study (N = 182) investigating how the stances and logics of evaluation (i.e., underlying reasons behind stances) expressed in featured snippets influence post-task attitudes and explanations of users without strong pre-search attitudes. We found that such users tend to not only change their attitudes on debated topics (e.g., school uniforms) following whatever stance a featured snippet expresses but also incorporate the featured snippet’s logic of evaluation into their argumentation. Our findings imply that the content displayed in featured snippets may have large-scale undesired consequences for individuals, businesses, and society, and urgently call for researchers and practitioners to examine this issue further.



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Details

DokumentenartKonferenz- oder Workshop-Beitrag (Paper)
ISBN979-8-4007-0035-4
Buchtitel:CHIIR '23: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval
Verlag:Association for Computing Machinery
Ort der Veröffentlichung:New York, United States
Seitenbereich:S. 211-220
Datum2023
InstitutionenSprach- und Literatur- und Kulturwissenschaften > Institut für Information und Medien, Sprache und Kultur (I:IMSK)
Identifikationsnummer
WertTyp
10.1145/3576840.3578323DOI
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
000 Informatik, Informationswissenschaft, allgemeine Werke > 020 Bibliotheks- und Informationswissenschaft
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
Dokumenten-ID53516

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