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Interest has grown around the classification of stance that users assumewithin online debates in recent years. Stance has been usually addressed byconsidering users posts in isolation, while social studies highlight thatsocial communities may contribute to influence users' opinion. Furthermore,stance should be studied in a diachronic perspective, since it could help toshed light on users' opinion shift dynamics that can be recorded during thedebate. We analyzed the political discussion in UK about the BREXIT referendumon Twitter, proposing a novel approach and annotation schema for stancedetection, with the main aim of investigating the role of features related tosocial network community and diachronic stance evolution. Classificationexperiments show that such features provide very useful clues for detectingstance.

#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection