54 citations · 85 across the 12 of their papers we have counts for
12 papers
Prediction market visualizations, betting, and uncertainty: A study of Reddit Posts and Comments
Subham Sah, Alireza Karduni, Douglas Markant +1
Prediction market platforms present contracts about future events through visualizations that show probabilities, prices, trends, odds, and payout information. Although these visua…
The Impact of Elicitation and Contrasting Narratives on Engagement, Recall and Attitude Change with News Articles Containing Data Visualization
Milad Rogha, Subham Sah, Alireza Karduni +2
News articles containing data visualizations play an important role in informing the public on issues ranging from public health to politics. Recent research on the persuasive appe…
When do data visualizations persuade? The impact of prior attitudes on learning about correlations from scatterplot visualizations
Doug Markant, Milad Rogha, Alireza Karduni +2
Data visualizations are vital to scientific communication on critical issues such as public health, climate change, and socioeconomic policy. They are often designed not just to in…
Effect of uncertainty visualizations on myopic loss aversion and equity premium puzzle in retirement investment decisions
Ryan Wesslen, Alireza Karduni, Douglas Markant +1
For many households, investing for retirement is one of the most significant decisions and is fraught with uncertainty. In a classic study in behavioral economics, Benartzi and Tha…
Images, Emotions, and Credibility: Effect of Emotional Facial Images on Perceptions of News Content Bias and Source Credibility in Social Media
Alireza Karduni, Ryan Wesslen, Douglas Markant +1
Images are an indispensable part of the news content we consume. Highly emotional images from sources of misinformation can greatly influence our judgements. We present two studies…
Using Resource-Rational Analysis to Understand Cognitive Biases in Interactive Data Visualizations
Ryan Wesslen, Doug Markant, Alireza Karduni +1
Cognitive biases are systematic errors in judgment. Researchers in data visualizations have explored whether cognitive biases transfer to decision-making tasks with interactive dat…
Interactive Steering of Hierarchical Clustering
Weikai Yang, Xiting Wang, Jie Lu +2
Hierarchical clustering is an important technique to organize big data for exploratory data analysis. However, existing one-size-fits-all hierarchical clustering methods often fail…
A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations
Alireza Karduni, Doug Markant, Ryan Wesslen +1
Understanding correlation judgement is important to designing effective visualizations of bivariate data. Prior work on correlation perception has not considered how factors includ…
Du Bois Wrapped Bar Chart: Visualizing categorical data with disproportionate values
Alireza Karduni, Ryan Wesslen, Isaac Cho +1
We propose a visualization technique, Du Bois wrapped bar chart, inspired by work of W.E.B Du Bois. Du Bois wrapped bar charts enable better large-to-small bar comparison by wrappi…
GI-OHMS: Graphical Inference to Detect Overlapping Communities
Nasheen Nur, Wenwen Dou, Xi Niu +2
Discovery of communities in complex networks is a topic of considerable recent interest within the complex systems community. Due to the dynamic and rapidly evolving nature of larg…
Vulnerable to Misinformation? Verifi!
Alireza Karduni, Isaac Cho, Ryan Wesslen +5
We present Verifi2, a visual analytic system to support the investigation of misinformation on social media. On the one hand, social media platforms empower individuals and organiz…
Anchored in a Data Storm: How Anchoring Bias Can Affect User Strategy, Confidence, and Decisions in Visual Analytics
Ryan Wesslen, Sashank Santhanam, Alireza Karduni +3
Cognitive biases have been shown to lead to faulty decision-making. Recent research has demonstrated that the effect of cognitive biases, anchoring bias in particular, transfers to…