A Descriptive Framework for Stories of Algorithms

dc.contributor.authorLiem, Johannesen_US
dc.contributor.authorHenkin, Rafaelen_US
dc.contributor.authorWood, Joen_US
dc.contributor.authorTurkay, Cagatayen_US
dc.contributor.editorMadeiras Pereira, João and Raidou, Renata Georgiaen_US
dc.date.accessioned2019-06-02T18:21:14Z
dc.date.available2019-06-02T18:21:14Z
dc.date.issued2019
dc.description.abstractData-driven stories, widely used in journalism and scientific communication, match well with the recent focus on interpretable machine learning and AI explainability. Current technologies allow authors to break away from narratives that reflect traditional analytical workflows. To support designing such types of stories, we introduce a descriptive framework that helps identifying narrative patterns and other characteristics of algorithm-related stories. We describe the design space within the framework and demonstrate how to apply to an example of an algorithm-centered story, discussing potential future steps.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2019 - Posters
dc.identifier.doi10.2312/eurp.20191141
dc.identifier.isbn978-3-03868-088-8
dc.identifier.pages41-43
dc.identifier.urihttps://doi.org/10.2312/eurp.20191141
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20191141
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisualization theory
dc.subjectconcepts and paradigms
dc.subjectVisualization design and evaluation methods
dc.titleA Descriptive Framework for Stories of Algorithmsen_US
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