News Kaleidoscope: Visual Investigation of Coverage Diversity in News Event Reporting
Aditi Mishra, Shashank Ginjpalli, Chris Bryan

TL;DR
NewsKaleidoscope is a visual analytics system that helps users explore and analyze the diversity of news coverage on events, combining text processing with visualization, validated through multiple user studies.
Contribution
The paper introduces NewsKaleidoscope, a novel visual analytics tool integrating text analysis and visualization for investigating news coverage diversity, evaluated with both novice and expert users.
Findings
Supports effective analysis of news coverage diversity
Journalism expertise influences user insights
System improvements validated through user studies
Abstract
We develop a visual analytics system, NewsKaleidoscope, to investigate the how news reporting of events varies. NewsKaleidoscope combines several backend text language processing techniques with a coordinated visualization interface tailored for visualization non-expert users. To robustly evaluate NewsKaleidoscope, we conduct a trio of user studies. (1) A usability study with news novices assesses the overall system and the specific insights promoted for journalism-agnostic users. (2) A follow-up study with news experts assesses the insights promoted for journalism-savvy users. (3) Based on identified system limitations in these two studies, we amend NewsKaleidoscope design and conduct a third study to validate these improvements. Results indicate that, for both news novice and experts, NewsKaleidoscope supports an effective, task-driven workflow for analyzing the diversity of news…
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Taxonomy
TopicsData Visualization and Analytics · Multimedia Communication and Technology · Data Analysis with R
