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The good, the bad, and the biased

Five Ways Visualizations Can Mislead (And How to Fix Them)

Bibliographic Data

ID15325947
AuthorsDanielle Albers Szafir (0000-0003-3634-8597, University of Colorado Boulder, corresponding author)
Year2018
Volume25
Issue4
Pages26-33
Publication date2018-06-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
Venueinteractions (JOURNAL)
Journal identifiersISSN: 1072-5520 • E-ISSN: 1558-3449
PublisherAssociation for Computing Machinery (PUBLISHER • US)
DOI10.1145/3231772
OpenAlexW2809924942
LanguageEN
Citations received5
References cited12

column Share on The good, the bad, and the biased: five ways visualizations can mislead (and how to fix them) Author: Danielle Albers Szafir University of Colorado Boulder University of Colorado BoulderView Profile Authors Info & Claims InteractionsVolume 25Issue 4July - August 2018 pp 26–33https://doi.org/10.1145/3231772Published:27 June 2018Publication History 33citation16,614DownloadsMetricsTotal Citations33Total Downloads16,614Last 12 Months4,407Last 6 weeks680 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

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Unique citing works5
Citations per year0,71
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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