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Nutzer-basierte Evaluierung der Google Knowledge Panel-Funktion: Wissensrepräsentation innerhalb eines Information Retrieval Systems.

Authors :
Entezari B.A., M.A., Rosa
Scheibe B.A., M.A., Katrin
Source :
Information -- Wissenschaft und Praxis. Jan2024, Vol. 75 Issue 1, p17-28. 12p.
Publication Year :
2024

Abstract

Google Knowledge Panels are information boxes in Google that display summarized information regarding a made search request in the search results, using information from the Google Knowledge Graph. This feature is usually displayed for questions or searches for entities and is intended to allow users to find relevant information more easily and quickly. What are the different types of Google Knowledge Panels? How is this function and its content perceived by users? In this study, the Google Knowledge Panel is evaluated in terms of system quality and content quality from the user's perspective. The Information Service Evaluation (ISE) model was adapted to match the Google Knowledge Panel and serves as a theoretical basis for the development of a survey. Results of the survey with 133 participants show that the users' expectations for an optimal information field within an information retrieval system mostly coincide with the experiences made regarding the Google Knowledge Panel. The Google Knowledge Panel does not meet the expectations of users for the following aspects: credibility, trust, timeliness, and objectivity. Further research is needed to find appropriate reasoning for the experienced differences and to make suitable suggestions to adapt the Google Knowledge Panel to the users' needs. [ABSTRACT FROM AUTHOR]

Details

Language :
German
ISSN :
14344653
Volume :
75
Issue :
1
Database :
Academic Search Index
Journal :
Information -- Wissenschaft und Praxis
Publication Type :
Academic Journal
Accession number :
175524934
Full Text :
https://doi.org/10.1515/iwp-2023-2042