Prediction market visualizations, betting, and uncertainty: A study of Reddit Posts and Comments

2026-08-17

AI Summary

This study addresses decision biases in prediction market visualizations caused by the lack of explicit uncertainty representation. By analyzing Reddit community data through qualitative thematic analysis, we investigate how users infer uncertainty and its subsequent impact on betting behavior. The findings reveal that users employ multidimensional cognitive strategies, integrating chart features, external knowledge, and design critiques to interpret uncertainty. Furthermore, this research identifies distinct patterns of uncertainty inference, elucidating the complex relationship between visualization design and user decision-making. Ultimately, these insights provide a theoretical foundation and actionable design implications for optimizing information presentation in prediction markets, thereby mitigating cognitive biases associated with implicit uncertainty.

Abstract

Prediction market platforms present contracts about future events through visualizations that show probabilities, prices, trends, odds, and payout information. Although these visualizations often appear precise, they do not always show uncertainty directly. As a result, users infer uncertainty from market movement, visualization cues, and contextual information. In this paper, we examine how users interpret prediction market visualizations through a qualitative analysis of posts and comments from the Reddit community r/Kalshi. From an initial corpus of approximately 12,000 posts and 96,000 comments, we identified 360 posts containing prediction market visualizations and conducted a thematic analysis of annotated posts and related discussions. Our findings show that users infer uncertainty through several forms of interpretation: they interpret chart values, struggle with probability information displayed, bring in external knowledge, question credibility and liquidity, critique visualization design, and connecting visualized information to betting decisions.

Problem

• Prediction Market Visualizations
• Uncertainty Interpretation
• User Perception
• Betting Decisions

Innovation

• Prediction Market Visualization
• Uncertainty Inference
• Qualitative Analysis
• User Interpretation
• Reddit Data Mining