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Using Past Violence and Current News to Predict Changes in Violence
2022
This article proposes a new method for predicting escalations and de‐escalations of violence using a model which relies on conflict history and text features. The text features are generated from over 3.5 million newspaper articles using a so‐called topic‐model. We show that the combined model relies to a large extent on conflict dynamics, but that text is able to contribute meaningfully to the prediction of rare outbreaks of violence in previously peaceful countries. Given the very powerful
doi:10.17863/cam.83983
fatcat:uimbcbtz5ncqti7pgjewlwsfsu