Direkt zum Inhalt

Bink, Markus ; Zimmerman, Steven ; Elsweiler, David

Featured Snippets and their Influence on Users’ Credibility Judgements

Bink, Markus, Zimmerman, Steven und Elsweiler, David (2022) Featured Snippets and their Influence on Users’ Credibility Judgements. In: CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, March 14 - 18, 2022, Regensburg Germany.

Veröffentlichungsdatum dieses Volltextes: 15 Feb 2023 06:22
Konferenz- oder Workshop-Beitrag


Zusammenfassung

Search engines often provide featured snippets, which are boxed and placed above other results with the aim of directly answering user queries. To learn about how users judge the credibility of such results and how they influence search outcomes, a controlled web-based user study (N = 96) was conducted. Using resources made available by scholars in the community, we study featured snippets in a ...

Search engines often provide featured snippets, which are boxed and placed above other results with the aim of directly answering user queries. To learn about how users judge the credibility of such results and how they influence search outcomes, a controlled web-based user study (N = 96) was conducted. Using resources made available by scholars in the community, we study featured snippets in a medical context with participants being tasked with determining whether a named treatment is helpful for a specified medical condition both before and after viewing the search results. Experimental conditions varied the presence and credibility of featured snippets. Our findings indicate that participants tend to overestimate the credibility of information in featured snippets. Featured snippets are, moreover, shown to often change users’ opinion about a topic, especially if they are uncertain. Showing correct information inside featured snippets helped participants make more accurate decisions, whereas incorrect or contradicting information led to more harmful outcomes.



Beteiligte Einrichtungen


Details

DokumentenartKonferenz- oder Workshop-Beitrag (Nicht ausgewählt)
ISBN978-1-4503-9186-3
Buchtitel:CHIIR '22: Proceedings of the 2022 Conference on Human Information Interaction and Retrieval
Verlag:Association for Computing Machinery
Ort der Veröffentlichung:New York, United States
Seitenbereich:S. 113-122
Datum2022
InstitutionenSprach- und Literatur- und Kulturwissenschaften > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft (Prof. Dr. Udo Kruschwitz)
Informatik und Data Science > Fachbereich Menschzentrierte Informatik > Lehrstuhl für Informationswissenschaft (Prof. Dr. Udo Kruschwitz)
Identifikationsnummer
WertTyp
10.1145/3498366.3505766DOI
Stichwörter / KeywordsFeatured Snippets, Answer Module, Credibility, Web Search, Question Answering, Search Behaviour
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 000 Allgemeines, Wissenschaft
000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenZum Teil
URN der UB Regensburgurn:nbn:de:bvb:355-epub-537618
Dokumenten-ID53761

Bibliographische Daten exportieren

Nur für Besitzer und Autoren: Kontrollseite des Eintrags

nach oben