Reading Stockholm Riots 2013 in social media by text-mining
Andrzej Jarynowski, Amir Rostami

TL;DR
This study analyzes social media discussions during the 2013 Stockholm Riots using text mining and NLP to identify key topics, sentiment, and communication networks, providing insights into media influence and public discourse.
Contribution
It introduces a novel application of text mining and NLP to analyze social media during a major social unrest, focusing on Swedish and Polish communities.
Findings
Discussion centered on Police and Politics
Negative sentiment towards Police detected
Networks of phrases reveal key discussion categories
Abstract
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,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOpinion Dynamics and Social Influence · Advanced Text Analysis Techniques · Misinformation and Its Impacts
