  The riots in Stockholm in May 2013 were an event that reverberated in the
world media for its dimension of violence that had spread through the Swedish
capital. In this study we have investigated the role of social media in
creating media phenomena via text mining and natural language processing. We
have focused on two channels of communication for our analysis: Twitter and
Poloniainfo.se (Forum of Polish community in Sweden). Our preliminary results
show some hot topics driving discussion related mostly to Swedish Police and
Swedish Politics by counting word usage. Typical features for media
intervention are presented. We have built networks of most popular phrases,
clustered by categories (geography, media institution, etc.). Sentiment
analysis shows negative connotation with Police. The aim of this preliminary
exploratory quantitative study was to generate questions and hypotheses, which
we could carefully follow by deeper more qualitative methods.
