Bubble storytelling with automated animation: a Brexit hashtag activism case study
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R E G UL A R P A P E R
Noptanit Chotisarn • Junhua Lu • Libinzi Ma • Jingli Xu • Linhao Meng • Bingru Lin • Ying Xu Xiaonan Luo • Wei Chen
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Bubble storytelling with automated animation: a Brexit hashtag activism case study
Received: 1 July 2020 / Revised: 1 July 2020 / Accepted: 9 August 2020 Ó The Visualization Society of Japan 2020
Abstract Hashtag data are common and easy to acquire. Thus, they are widely used in studies and visual data storytelling. For example, a recent story by China Central Television Europe depicts Brexit as a hashtag movement displayed on an animated bubble chart. However, creating such a story is usually laborious and tedious, because narrators have to switch between different tools and discuss with different collaborators. To reduce the burden, we develop a prototype system to help explore the bubbles’ movement by automatically inserting animations connected to the storytelling of the video creators and the interaction of viewers to those videos. We demonstrate the usability of our method through both use cases and a semi-structured user study. Keywords Storytelling Data journalism Automated animation
1 Introduction Hashtags are an essential part of Twitter trends. Using Twitter’s hashtags for Internet activism is called ‘‘Hashtag activism’’ (Carr 2012), commonly used to make people aware of social and political issues. N. Chotisarn J. Lu L. Ma J. Xu L. Meng B. Lin Y. Xu W. Chen (&) State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China E-mail: [email protected] N. Chotisarn E-mail: [email protected] J. Lu E-mail: [email protected] L. Ma E-mail: [email protected] J. Xu E-mail: [email protected] L. Meng E-mail: [email protected] B. Lin E-mail: [email protected] Y. Xu E-mail: [email protected] X. Luo Guilin University of Electronic Technology, Guilin, China E-mail: [email protected]
N. Chotisarn et al.
Hashtag activism occurs when vast amounts of postings appear under the usual hashtagged words, expressions, or paragraphs in social or political cases via social media (Yang 2016). This type of information can be easily acquired through web crawling techniques and is widely used for scientific researches (e.g., Sun et al. 2017; Wu et al. 2018) and data storytelling (e.g., data journalism). Recently, Brexit has been discussed on online social media all over the world. A data story presented by CCTV Europe shows the dynamic of hashtags on animated bubble charts and has attracted much attention in China. This presentation is inspired by the famous animated visualization of Hans Rosling’s talk.1 The movement of the bubbles (hashtags) is interrelated and can illustrate interesting events to tell stories. As a collaborator of this Brexit visualization story project, we provided various types of visualization, including an animated bubble chart, to support the visual presentation of the data. However, the creation of the final story requires multiple additional steps. The data journalists should first understand all the data and write news scripts bas
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