Abstract
Twitter is a popular microblogging site where users can easily use mobile phones or desktop machines to generate short messages to be shared with others in realtime. Twitter has seen heavy usage in many recent international events including Japan earthquake, Iran election, etc. In such events, many tweets may become viral for different reasons. In this paper, we study the virality of socio-political tweet content in the Singapore’s 2011 general election (GE2011). We collected tweet data generated by about 20K Singapore users from 1 April 2011 till 12 May 2011, and the follow relationships among them. We introduce several quantitative indices for measuring the virality of tweets that are retweeted. Using these indices, we identify the most viral messages in GE2011 as well as the users behind them.
We would like to acknowledge that this research was carried out at the Living Analytics Research Centre (LARC), sponsored by Singapore National Research Foundation and Interactive & Digital Media Programme Office, Media Development Authority.
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Hoang, TA., Lim, EP., Achananuparp, P., Jiang, J., Zhu, F. (2011). On Modeling Virality of Twitter Content. In: Xing, C., Crestani, F., Rauber, A. (eds) Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation. ICADL 2011. Lecture Notes in Computer Science, vol 7008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24826-9_27
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DOI: https://doi.org/10.1007/978-3-642-24826-9_27
Publisher Name: Springer, Berlin, Heidelberg
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