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The science of visual data communication: What works
Effectively designed data visualizations allow viewers to use their powerful visual systems to
understand patterns in data across science, education, health, and public policy. But …
understand patterns in data across science, education, health, and public policy. But …
The state of the art in enhancing trust in machine learning models with the use of visualizations
Abstract Machine learning (ML) models are nowadays used in complex applications in
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …
[HTML][HTML] Cognitive biases in fact-checking and their countermeasures: a review
The increase of the amount of misinformation spread every day online is a huge threat to the
society. Organizations and researchers are working to contrast this misinformation plague. In …
society. Organizations and researchers are working to contrast this misinformation plague. In …
Misleading beyond visual tricks: How people actually lie with charts
Data visualizations can empower an audience to make informed decisions. At the same
time, deceptive representations of data can lead to inaccurate interpretations while still …
time, deceptive representations of data can lead to inaccurate interpretations while still …
StackGenVis: Alignment of data, algorithms, and models for stacking ensemble learning using performance metrics
In machine learning (ML), ensemble methods-such as bagging, boosting, and stacking-are
widely-established approaches that regularly achieve top-notch predictive performance …
widely-established approaches that regularly achieve top-notch predictive performance …
The unmet data visualization needs of decision makers within organizations
When an organization chooses one course of action over alternatives, this task typically falls
on a decision maker with relevant knowledge, experience, and understanding of context …
on a decision maker with relevant knowledge, experience, and understanding of context …
Misinformed by visualization: What do we learn from misinformative visualizations?
Data visualization is powerful in persuading an audience. However, when it is done poorly
or maliciously, a visualization may become misleading or even deceiving. Visualizations …
or maliciously, a visualization may become misleading or even deceiving. Visualizations …
Seeing what you believe or believing what you see? belief biases correlation estimation
When an analyst or scientist has a belief about how the world works, their thinking can be
biased in favor of that belief. Therefore, one bedrock principle of science is to minimize that …
biased in favor of that belief. Therefore, one bedrock principle of science is to minimize that …
A critical reflection on visualization research: Where do decision making tasks hide?
It has been widely suggested that a key goal of visualization systems is to assist decision
making, but is this true? We conduct a critical investigation on whether the activity of …
making, but is this true? We conduct a critical investigation on whether the activity of …
Surfacing visualization mirages
Dirty data and deceptive design practices can undermine, invert, or invalidate the purported
messages of charts and graphs. These failures can arise silently: a conclusion derived from …
messages of charts and graphs. These failures can arise silently: a conclusion derived from …