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The good, the bad, and the biased: five ways visualizations can mislead (and how to fix them)

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Danielle Albers SzafirAuthors Info & Claims

Interactions, Volume 25, Issue 4

Pages 26 - 33

https://doi.org/10.1145/3231772

Published: 27 June 2018 Publication History

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The good, the bad, and the biased: five ways visualizations can mislead (and how to fix them)
1. Human-centered computing

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Published In

Interactions Volume 25, Issue 4

July - August 2018

73 pages

ISSN:1072-5520

EISSN:1558-3449

DOI:10.1145/3235007

Editors:
Simone Barbosa
Association for Computing Machinery, New York, NY
,
Gilbert Cockton
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 27 June 2018

Published in INTERACTIONS Volume 25, Issue 4

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https://doi.org/10.3390/digital4040046
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