Natural Interfaces

Fact-check Your Information (FYI): A Design Probe to Understand How People Actually Fact-check Data-Driven Articles

Nguyen-Truong Thinh^*, Yuxuan Du^*, Phongsakon Mark Konrad, Arpit Narechania

^* Equal contribution

IEEE TVCG · 2027

Video Code

Teaser for Fact-check Your Information (FYI): A Design Probe to Understand How People Actually Fact-check Data-Driven Articles

Abstract

Data claims, statements grounded in numbers and statistics, are common in journalism and policy reports, yet verifying them requires connecting textual claims with structured data. Existing tools typically separate automated checking from manual exploration, leaving unclear how readers coordinate AI assistance and direct evidence inspection in practice. We design FYI, a browser extension that bridges this gap through four complementary tools within a unified side panel, spanning the spectrum from automation to user-driven exploration. In an exploratory study (N = 22), participants used FYI to fact-check claims in a data-driven article. We find that participants adopted three distinct workflow archetypes—AI-first with manual confirmation, manual-first with AI supplement, and parallel co-review—with visualization serving as the primary mechanism for auditing AI conclusions.

Citation

@article{truong2027fyi,
  author = {Nguyen-Truong, Thinh and Du, Yuxuan and Konrad, Phongsakon Mark and Narechania, Arpit},
  title = {{Fact-check Your Information (FYI): A Design Probe to Understand How People Actually Fact-check Data-Driven Articles}},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  year = {2027},
  publisher = {IEEE},
  note = {To appear. Presented at IEEE VIS 2026}
}