Search Plurality
In light of Phillips' contention regarding the impracticality of Search Neutrality, asserting that non-epistemic factors presently dictate result prioritization, our objective in this study is to confront this constraint by questioning prevailing design practices in search engines. We posit tha...
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creator | Dudy, Shiran |
description | In light of Phillips' contention regarding the impracticality of Search
Neutrality, asserting that non-epistemic factors presently dictate result
prioritization, our objective in this study is to confront this constraint by
questioning prevailing design practices in search engines. We posit that the
concept of prioritization warrants scrutiny, along with the consistent
hierarchical ordering that underlies this lack of neutrality. We introduce the
term Search Plurality to encapsulate the idea of emphasizing the various means
a query can be approached. This is demonstrated in a design that prioritizes
the display of categories over specific search items, helping users grasp the
breadth of their search. Whether a query allows for multiple interpretations or
invites diverse opinions, the presentation of categories highlights the
significance of organizing data based on relevance, importance, and relative
significance, akin to traditional methods. However, unlike previous approaches,
this method enriches our comprehension of the overall information landscape,
countering the potential bias introduced by ranked lists. |
doi_str_mv | 10.48550/arxiv.2501.00987 |
format | Article |
fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2501_00987</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2501_00987</sourcerecordid><originalsourceid>FETCH-arxiv_primary_2501_009873</originalsourceid><addsrcrecordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMjUw1DMwsLQw52QQCE5NLErOUAjIKS1KzMksqeRhYE1LzClO5YXS3Azybq4hzh66YL3xBUWZuYlFlfEgM-LBZhgTVgEAC18k4A</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Search Plurality</title><source>arXiv.org</source><creator>Dudy, Shiran</creator><creatorcontrib>Dudy, Shiran</creatorcontrib><description>In light of Phillips' contention regarding the impracticality of Search
Neutrality, asserting that non-epistemic factors presently dictate result
prioritization, our objective in this study is to confront this constraint by
questioning prevailing design practices in search engines. We posit that the
concept of prioritization warrants scrutiny, along with the consistent
hierarchical ordering that underlies this lack of neutrality. We introduce the
term Search Plurality to encapsulate the idea of emphasizing the various means
a query can be approached. This is demonstrated in a design that prioritizes
the display of categories over specific search items, helping users grasp the
breadth of their search. Whether a query allows for multiple interpretations or
invites diverse opinions, the presentation of categories highlights the
significance of organizing data based on relevance, importance, and relative
significance, akin to traditional methods. However, unlike previous approaches,
this method enriches our comprehension of the overall information landscape,
countering the potential bias introduced by ranked lists.</description><identifier>DOI: 10.48550/arxiv.2501.00987</identifier><language>eng</language><subject>Computer Science - Computers and Society ; Computer Science - Human-Computer Interaction ; Computer Science - Information Retrieval</subject><creationdate>2025-01</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2501.00987$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2501.00987$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Dudy, Shiran</creatorcontrib><title>Search Plurality</title><description>In light of Phillips' contention regarding the impracticality of Search
Neutrality, asserting that non-epistemic factors presently dictate result
prioritization, our objective in this study is to confront this constraint by
questioning prevailing design practices in search engines. We posit that the
concept of prioritization warrants scrutiny, along with the consistent
hierarchical ordering that underlies this lack of neutrality. We introduce the
term Search Plurality to encapsulate the idea of emphasizing the various means
a query can be approached. This is demonstrated in a design that prioritizes
the display of categories over specific search items, helping users grasp the
breadth of their search. Whether a query allows for multiple interpretations or
invites diverse opinions, the presentation of categories highlights the
significance of organizing data based on relevance, importance, and relative
significance, akin to traditional methods. However, unlike previous approaches,
this method enriches our comprehension of the overall information landscape,
countering the potential bias introduced by ranked lists.</description><subject>Computer Science - Computers and Society</subject><subject>Computer Science - Human-Computer Interaction</subject><subject>Computer Science - Information Retrieval</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMjUw1DMwsLQw52QQCE5NLErOUAjIKS1KzMksqeRhYE1LzClO5YXS3Azybq4hzh66YL3xBUWZuYlFlfEgM-LBZhgTVgEAC18k4A</recordid><startdate>20250101</startdate><enddate>20250101</enddate><creator>Dudy, Shiran</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20250101</creationdate><title>Search Plurality</title><author>Dudy, Shiran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2501_009873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Computer Science - Computers and Society</topic><topic>Computer Science - Human-Computer Interaction</topic><topic>Computer Science - Information Retrieval</topic><toplevel>online_resources</toplevel><creatorcontrib>Dudy, Shiran</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dudy, Shiran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Search Plurality</atitle><date>2025-01-01</date><risdate>2025</risdate><abstract>In light of Phillips' contention regarding the impracticality of Search
Neutrality, asserting that non-epistemic factors presently dictate result
prioritization, our objective in this study is to confront this constraint by
questioning prevailing design practices in search engines. We posit that the
concept of prioritization warrants scrutiny, along with the consistent
hierarchical ordering that underlies this lack of neutrality. We introduce the
term Search Plurality to encapsulate the idea of emphasizing the various means
a query can be approached. This is demonstrated in a design that prioritizes
the display of categories over specific search items, helping users grasp the
breadth of their search. Whether a query allows for multiple interpretations or
invites diverse opinions, the presentation of categories highlights the
significance of organizing data based on relevance, importance, and relative
significance, akin to traditional methods. However, unlike previous approaches,
this method enriches our comprehension of the overall information landscape,
countering the potential bias introduced by ranked lists.</abstract><doi>10.48550/arxiv.2501.00987</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Computers and Society Computer Science - Human-Computer Interaction Computer Science - Information Retrieval |
title | Search Plurality |
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