Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23047
DC FieldValueLanguage
dc.contributor.authorVarda, Christiana-
dc.date.accessioned2021-09-15T07:59:23Z-
dc.date.available2021-09-15T07:59:23Z-
dc.date.issued2021-
dc.identifier.citationInformation & Culture, 2021, vol. 56, no. 2, pp. 227-228en_US
dc.identifier.issn15347591-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23047-
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofInformation & Cultureen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBook reviewen_US
dc.subjectInformationen_US
dc.subjectCommunicationen_US
dc.titleThe Information Manifold: Why Computers Can't Solve Algorithmic Bias and Fake News by Antonio Badia (review)en_US
dc.typeArticleen_US
dc.linkhttps://muse.jhu.edu/article/797388en_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryMedia and Communicationsen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.relation.issue2en_US
dc.relation.volume56en_US
cut.common.academicyear2020-2021en_US
dc.identifier.spage227en_US
dc.identifier.epage228en_US
item.cerifentitytypePublications-
item.openairetypearticle-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
crisitem.journal.journalissn1534-7591-
crisitem.journal.publisherUniversity of Texas Press-
Appears in Collections:Άρθρα/Articles
Files in This Item:
File Description SizeFormat
project_muse_797388.pdfFulltext623.54 kBAdobe PDFView/Open
CORE Recommender
Show simple item record

Page view(s)

229
Last Week
1
Last month
2
checked on Oct 12, 2024

Download(s)

74
checked on Oct 12, 2024

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons