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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.
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Details
| Dokumentenart | Konferenz- oder Workshop-Beitrag (Nicht ausgewählt) | ||||
| ISBN | 978-1-4503-9186-3 | ||||
| Buchtitel: | CHIIR '22: Proceedings of the 2022 Conference on Human Information Interaction and Retrieval | ||||
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| Verlag: | Association for Computing Machinery | ||||
| Ort der Veröffentlichung: | New York, United States | ||||
| Seitenbereich: | S. 113-122 | ||||
| Datum | 2022 | ||||
| Institutionen | Sprach- 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 |
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| Stichwörter / Keywords | Featured Snippets, Answer Module, Credibility, Web Search, Question Answering, Search Behaviour | ||||
| Dewey-Dezimal-Klassifikation | 000 Informatik, Informationswissenschaft, allgemeine Werke > 000 Allgemeines, Wissenschaft 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Zum Teil | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-537618 | ||||
| Dokumenten-ID | 53761 |
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