Misleading Beyond Visual Tricks: How People Actually Lie with Charts

Author:

Lisnic Maxim1ORCID,Polychronis Cole1ORCID,Lex Alexander1ORCID,Kogan Marina1ORCID

Affiliation:

1. University of Utah, United States

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference77 articles.

1. A Closer Look at the Self-Correcting Crowd

2. Why Shouldn’t All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations

3. Outbreak of SARS-CoV-2 Infections, Including COVID-19 Vaccine Breakthrough Infections, Associated with Large Public Gatherings — Barnstable County, Massachusetts, July 2021

4. Alberto Cairo . 2015. Graphics Lies , Misleading Visuals. In New Challenges for Data Design , David Bihanic (Ed.). Springer , London, UK , 103–116. https://doi.org/10.1007/978-1-4471-6596-5_5 10.1007/978-1-4471-6596-5_5 Alberto Cairo. 2015. Graphics Lies, Misleading Visuals. In New Challenges for Data Design, David Bihanic (Ed.). Springer, London, UK, 103–116. https://doi.org/10.1007/978-1-4471-6596-5_5

5. André Calero Valdez , Martina Ziefle , and Michael Sedlmair . 2018. Studying Biases in Visualization Research: Framework and Methods . In Cognitive Biases in Visualizations , Geoffrey Ellis (Ed.). Springer International Publishing , Cham, Switzerland , 13–27. https://doi.org/10.1007/978-3-319-95831-6_2 10.1007/978-3-319-95831-6_2 André Calero Valdez, Martina Ziefle, and Michael Sedlmair. 2018. Studying Biases in Visualization Research: Framework and Methods. In Cognitive Biases in Visualizations, Geoffrey Ellis (Ed.). Springer International Publishing, Cham, Switzerland, 13–27. https://doi.org/10.1007/978-3-319-95831-6_2

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