News Kaleidoscope: Visual Investigation of Coverage Diversity in News Event Reporting

Aditi Mishra, Shashank Ginjpalli, Chris Bryan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


When a newsworthy event occurs, media articles that report on the event can vary widely-a concept known as coverage diversity. To help investigate coverage diversity in event reporting, we de-velop a visual analytics system called News Kaleidoscope. News Kaleidoscope combines several backend language processing techniques with a coordinated visualization interface. Notably, News Kaleidoscope is tailored for visualization non-experts, and adopts an analytic workflow based around subselection analysis, whereby second-level features of articles are extracted to provide a more detailed and nuanced analysis of coverage diversity. To robustly evaluate News Kaleidoscope, we conduct a trio of user studies. (1) A study with news experts assesses the insights promoted for our targeted journalism-savvy users. (2) A follow-up study with news novices assesses the overall system and the specific insights pro-moted for journalism-agnostic users. (3) Based on identified system limitations in these two studies, we refine News Kaleidoscope's design and conduct a third study to validate these improvements. Results indicate that, for both news novice and experts, News Kalei-doscope supports an effective, task-driven workflow for analyzing the diversity of news coverage about events, though journalism expertise has a significant influence on the user's insights and take-aways. Our insights developing and evaluating News Kaleidoscope can aid future tools that combine visualization with natural language processing to analyze coverage diversity in news event reporting.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 15th Pacific Visualization Symposium, PacificVis 2022
PublisherIEEE Computer Society
Number of pages10
ISBN (Electronic)9781665423359
StatePublished - 2022
Event15th IEEE Pacific Visualization Symposium, PacificVis 2022 - Virtual, Online, Japan
Duration: Apr 11 2022Apr 14 2022

Publication series

NameIEEE Pacific Visualization Symposium
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773


Conference15th IEEE Pacific Visualization Symposium, PacificVis 2022
CityVirtual, Online


  • Human-centered computing-Visualization-Visu-alization techniques-Treemaps
  • Human-centered computing-Visualization-Visualization design and evaluation methods

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Software


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