A visual scoping review of how knowledge graphs and search engine results page designs represent uncertainty and disagreement

Knight, S; Bowdler, I; Ford, H; Zhou, J

A visual scoping review of how knowledge graphs and search engine results page designs represent uncertainty and disagreement

Knight, S

Bowdler, I Ford, H Zhou, J

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Publisher:: Emerald
Publication Type:: Journal Article
Citation:: Information and Learning Sciences

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Field	Value	Language
dc.contributor.author	Knight, S https://orcid.org/0000-0002-8709-5780
dc.contributor.author	Bowdler, I
dc.contributor.author	Ford, H
dc.contributor.author	Zhou, J
dc.date.accessioned	2024-08-15T01:20:28Z
dc.date.available	2024-08-15T01:20:28Z
dc.identifier.citation	Information and Learning Sciences
dc.identifier.issn	2398-5348
dc.identifier.issn	2398-5348
dc.identifier.uri	http://hdl.handle.net/10453/180412
dc.description.abstract	<jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>Informational conflict and uncertainty are common features across a range of sources, topics and tasks. Search engines and their presentation of results via search engine results pages (SERPs) often underpinned by knowledge graphs (KGs) are commonly used across tasks. Yet, it is not clear how search does, or could, represent the informational conflict that exists across and within returned results. The purpose of this paper is to review KG and SERP designs for representation of uncertainty or disagreement.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>The authors address the aim through a systematic analysis of material regarding uncertainty and disagreement in KG and SERP contexts. Specifically, the authors focus on the material representation – user interface design features – that have been developed in the context of uncertainty and disagreement representation for KGs and SERPs.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>Searches identified <jats:italic>n</jats:italic> = 136 items as relevant, with <jats:italic>n</jats:italic> = 4 sets of visual materials identified from these for analysis of their design features. Design elements were extracted against sets of design principles, highlighting tensions in the design of such features.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>The authors conclude by highlighting two key challenges for interface design and recommending six design principles in representing uncertainty and conflict in SERPs. Given the important role technologies play in mediating information access and learning, addressing the representation of uncertainty and disagreement in the representation of information is crucial.</jats:p> </jats:sec>
dc.language	en
dc.publisher	Emerald
dc.relation.ispartof	Information and Learning Sciences
dc.relation.isbasedon	10.1108/ils-02-2024-0016
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	A visual scoping review of how knowledge graphs and search engine results page designs represent uncertainty and disagreement
dc.type	Journal Article
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Provost
pubs.organisational-group	University of Technology Sydney/Provost/TD School
pubs.organisational-group	University of Technology Sydney/Strength - CREDS - Centre for Research on Education in a Digital Society
utslib.copyright.status	recently_added	*
dc.date.updated	2024-08-15T01:20:26Z
pubs.publication-status	Published online

Abstract:

Purpose Informational conflict and uncertainty are common features across a range of sources, topics and tasks. Search engines and their presentation of results via search engine results pages (SERPs) often underpinned by knowledge graphs (KGs) are commonly used across tasks. Yet, it is not clear how search does, or could, represent the informational conflict that exists across and within returned results. The purpose of this paper is to review KG and SERP designs for representation of uncertainty or disagreement. Design/methodology/approach The authors address the aim through a systematic analysis of material regarding uncertainty and disagreement in KG and SERP contexts. Specifically, the authors focus on the material representation – user interface design features – that have been developed in the context of uncertainty and disagreement representation for KGs and SERPs. Findings Searches identified n = 136 items as relevant, with n = 4 sets of visual materials identified from these for analysis of their design features. Design elements were extracted against sets of design principles, highlighting tensions in the design of such features. Originality/value The authors conclude by highlighting two key challenges for interface design and recommending six design principles in representing uncertainty and conflict in SERPs. Given the important role technologies play in mediating information access and learning, addressing the representation of uncertainty and disagreement in the representation of information is crucial.

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http://hdl.handle.net/10453/180412