• Corpus ID: 9301686

Computational Social Science to Gauge Online Extremism

@article{Ferrara2017ComputationalSS,
  title={Computational Social Science to Gauge Online Extremism},
  author={Emilio Ferrara},
  journal={ArXiv},
  year={2017},
  volume={abs/1701.08170}
}
Recent terrorist attacks carried out on behalf of ISIS on American and European soil by lone wolf attackers or sleeper cells remind us of the importance of understanding the dynamics of radicalization mediated by social media communication channels. In this paper, we shed light on the social media activity of a group of twenty-five thousand users whose association with ISIS online radical propaganda has been manually verified. By using a computational tool known as dynamical activity… 

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