Improving DisInfoVis
Designing Effective Network visualization Representations of Disinformation Operations
Supporting Materials for EuroVIS 2020 poster …
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Abstract
Poster
Phase 1 : DisInfoVis Recommendations Study
Qualitative evaluation of static and dynamic representations of temporal network visualizations.
Participants were provided with introductory learning materials (static and dynamic), as well as static and dynamic representations of three state-backed disinformation operations, as shown.
INTRODUCTION
Introduction to network visualizations - materials used in training participants.
Slideshow: https://j.mp/disInfoVis_EVintro
VENEZUELA
Venezuelan Network Visualization over time - Activity between 2016 and 2019, English language tweets.
Video: https://www.youtube.com/watch?v=cvIqkNWi5tc
Venezuelan Network Visualization - example stimulus used for dynamic condition (one of three videos).
Slideshow : https://j.mp/disInfoVis_EVVenezuela
Venezuelan Network Visualization - example stimulus used for static condition (PDF of one of three slideshows)
CHINA
Chinese Network Visualization over time - Activity between 2008 and 2019, English language tweets
Video : https://www.youtube.com/watch?v=kCWrLwX73GY
Chinese Network Visualization - example stimulus used for dynamic condition (one of three videos).
Slideshow : https://j.mp/disInfoVis_EVChina
Chinese Network Visualization - example stimulus used for static condition (PDF of one of three slideshows)
RUSSIA
Russian Network Visualization over time - Activity between 2014 and 2019, English language tweets from the Internet Research Agency, according to Twitter.
Slideshow : https://j.mp/disInfoVis_EVRussia
Phase 2 : DisInfoVis Representations for Reporting
Six temporal network visualizations of disinformation operations used in state-backed information operations on Twitter, and how they evolved over the last decade.
These graphics and six accompanying videos of the disinformation operations are presented in the following Medium article:
This work was funded by the Mozilla Foundation through Open Source Support Award MF-1909-07167.
Recommendations
Our recommendations for DisInfoVis are captured in this wireframe mock-up :
ACKNOWLEDGMENT
This work was part funded by an Open Source Support Award from the Mozilla Foundation (MF-1909-07167) and a project stipend from the Data Science Institute, City, University of London.
06/04/20