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This project aims to develop tools to understand, deter, and prevent electoral violence by analyzing tweets to identify incidents globally. The team uses manual coding and machine-learning techniques to extract data and characteristics.
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Explaining and Mitigating Electoral Violence Sarah Birch Department of Politics School of Social and Political Sciences University of Glasgow
Project researchers • Sarah Birch, Politics • Paul Cockshott, Computing Science • Iadh Ounis, Computing science • Craig Macdonald, Computing Science • A PhD student
Aims of the project To develop conceptual, practical and methodological tools to: • Understand electoral violence • Assess strategies for deterring electoral violence • Assess strategies for preventing/minimising electoral violence
Electoral violence and social media • This project does not study social media • This project will use social media as data to study electoral violence • Specifically, the project will use tweets about electoral violence to identify incidents of electoral violence in selected elections around the world
Using social media to approximate events • A dictionary of terms will be developed • Pilot coding of tweets will be conducted manually and compared with independent data on electoral violence for pilot cases • Machine-learning techniques will be developed to analyse tweets and interpolate from these a list of incidents of electoral violence + salient characteristics of each incident