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Narrative visualization is a powerful communicative tool that can take onvarious formats such as interactive articles, slideshows, and data videos.These formats each have their strengths and weaknesses, but existing authoringtools only support one output target. We conducted a series of formativeinterviews with seven domain experts to understand needs and practices aroundcross-format data stories, and developed Fidyll, a cross-format compiler forauthoring interactive data stories and explorable explanations. Our open-sourcetool can be used to rapidly create formats including static articles,low-motion articles, interactive articles, slideshows, and videos. We evaluateour system through a series of real-world usage scenarios, showing how itbenefits authors in the domains of data journalism, scientific publishing, andnonprofit advocacy. We show how Fidyll, provides expressive leverage byreducing the amount of non-narrative markup that authors need to write by80-90% compared to Idyll, an existing markup language for authoring interactivearticles.

Fidyll: A Compiler for Cross-Format Data Stories & Explorable Explanations