This week, my colleagues from the University of Bristol will present a joint paper entitled: “Come Together!”: Interactions of Language Networks and Multilingual Communities on Twitter at ICCCI 2017, the 9th International Conference on Computational Collective Intelligence in Cyprus. This builds upon our recent work on obtaining insight from big social datasets; in this case looking at Twitter interactions between different language communities as part of the 2016 Eurovision Song Contest.
The abstract of the paper is below; you can read the full paper (or download a PDF) as part of LNCS 10449:
“Come Together!”: Interactions of Language Networks and Multilingual Communities on Twitter
Nabeel Albishry, Tom Crick and Theo Tryfonas
Emerging tools and methodologies are providing insight into the factors that promote the propagation of information in online social networks following significant activities, such as high-profile international social or societal events. This paper presents an extensible approach for analysing how different language communities engage and interact on the social networking platform Twitter via an analysis of the Eurovision Song Contest held in Stockholm, Sweden, in May 2016. By utilising language information from user profiles (N=1,226,959) and status updates (N=7,926,746) to identify and categorise communities, our approach is able to categorise these interactions, as well as construct network graphs to provide further insight on these multilingual communities. The results show that multilingualism is positively correlated with activity whilst negatively correlated with posting in the user’s own language.
(also see: Publications)