Visualization misinformation is a prevalent problem, and combating it requires
understanding people's ability to read, interpret, and reason about erroneous or potentially …

Analytical dashboards are popular in business intelligence to facilitate insight discovery with
multiple charts. However, creating an effective dashboard is highly demanding, which …

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 …

Evidence data for automated fact-checking (AFC) can be in multiple modalities such as text,
tables, images, audio, or video. While there is increasing interest in using images for AFC …

Data visualizations are common in the real-world. We often use them in data sources such
as scientific documents, news articles, textbooks, and social media to summarize key …

Existing data visualization design guidelines focus primarily on constructing grammatically-
correct visualizations that faithfully convey the values and relationships in the underlying …

Although visualization tools are widely available and accessible, not everyone knows the
best practices and guidelines for creating accurate and honest visual representations of …

Attempting to make sense of a phenomenon or crisis, social media users often share data
visualizations and interpretations that can be erroneous or misleading. Prior work has …

While the visualization community is increasingly aware that people often find visualizations
difficult to understand, there is less information about what we need to do to create …

When individuals encounter new information (data), that information is incorporated with
their existing beliefs (prior) to form a new belief (posterior) in a process referred to as belief …