Pith. sign in

REVIEW 1 cited by

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

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2205.09858 v1 pith:K6TZKZYJ submitted 2022-05-19 cs.HC

classification cs.HC
keywords articlesdatainteractiveauthoringcross-formatfidyllformatsstories
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Narrative visualization is a powerful communicative tool that can take on various formats such as interactive articles, slideshows, and data videos. These formats each have their strengths and weaknesses, but existing authoring tools only support one output target. We conducted a series of formative interviews with seven domain experts to understand needs and practices around cross-format data stories, and developed Fidyll, a cross-format compiler for authoring interactive data stories and explorable explanations. Our open-source tool can be used to rapidly create formats including static articles, low-motion articles, interactive articles, slideshows, and videos. We evaluate our system through a series of real-world usage scenarios, showing how it benefits authors in the domains of data journalism, scientific publishing, and nonprofit advocacy. We show how Fidyll, provides expressive leverage by reducing the amount of non-narrative markup that authors need to write by 80-90% compared to Idyll, an existing markup language for authoring interactive articles.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Reflecting on Design Paradigms of Animated Data Video Tools

    cs.HC 2025-02 conditional novelty 6.0 of 10

    This CHI paper proposes a two-dimensional framework for classifying 46 data video authoring tools and summarizes design paradigms across components and human-AI roles.

Pith tools