Abstract
Information visualization has brought huge boons to multifarious areas such as sociology analysis, large hierarchies’ representation, and big data demonstration. Specifically, online rumors spreading has become rampant due to the advanced development of social media. Effective governance of online rumors serves as a pivotal requirement for tycoons in social media areas like Facebook, Twitter, and Instagram. However, due to the tremendous volume of everyday rumors and their dynamic essence, pure texts or simple graphs can hardly demonstrate them accurately and comprehensively. Thus, in this study, we proposed a new intuitive visualization model called RumorClock, which can handle large scale of rumors as well as compare holistically between different rumors across time.
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Acknowledgements
This work has supported by the Xiamen University Malaysia Research Fund (XMUMRF) (Grant No: XMUMRF/2019-C3/IECE/0007).
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Dayong, W., Jingyi, W., Mehmood, R.M. (2021). RumorClock: Visual Representation of Online Rumor Spreading. In: Ujang, N., Fukuda, T., Pisello, A.L., Vukadinović, D. (eds) Resilient and Responsible Smart Cities. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-63567-1_9
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