543
Views
11
CrossRef citations to date
0
Altmetric
Articles

Using past violence and current news to predict changes in violence

Pages 579-596 | Received 16 Dec 2020, Accepted 25 Mar 2022, Published online: 10 May 2022

References

  • Blei, David M., Andrew Y. Ng, and Michael I. Jordan. 2003. “Latent Dirichlet Allocation.” The Journal of Machine Learning Research 3: 993–1022.
  • Blei, David M., and John D. Lafferty. 2006. “Dynamic topic models.” In ICML '06: Proceedings of the 23rd international conference on Machine learning, edited by William Cohen and Andrew Moore, 113–120. New York: Association for Computing Machinery. doi:10.1145/1143844.1143859.
  • Hegre, Håvard, Nils W. Metternich, Håvard Mokleiv Nygård, and Julian Wucherpfennig. 2017. “Introduction: Forecasting in Peace Research.” Journal of Peace Research 54 (2): 113–124. doi:10.1177/0022343317691330.
  • Hegre, Håvard, and Paola Vesco, and Michael Colaresi. 2022. “Lessons from an Escalation Prediction Competition.” International Interactions, 48 (4).
  • Mueller, Hannes, and Christopher Rauh. 2018. “Reading between the Lines: Prediction of Political Violence Using Newspaper Text.” American Political Science Review 112 (2): 358–375. doi:10.1017/S0003055417000570.
  • Mueller, Hannes, and Christopher Rauh. 2022. “The Hard Problem of Prediction for Conflict Prevention.” Journal of the European Economic Association (Forthcoming)
  • Rehurek, Radim, and Petr Sojka. 2010. “Software Framework for Topic Modelling with Large Corpora.” In Proceedings of the LREC 2010 Workshop on New Challenges for NLP, edited by René Witte, Hamish Cunningham, Jon Patrick, Elena Beisswanger, Ekaterina Buyko, Udo Hahn, Karin Verspoor, and Anni R. Coden, 45-50. Malta: ELRA.
  • Schrodt, Philip A., James Yonamine, and Benjamin E. Bagozzi. 2013. “Data-Based Computational Approaches to Forecasting Political Violence.” In Handbook of Computational Approaches to Counterterrorism, edited by Subrahmanian, V. New York: Springer.
  • United Nations and World Bank. 2017. Pathways for Peace: Inclusive Approaches to Preventing Violent Conflict-Main Messages and Emerging Policy Directions. Washington, DC: World Bank.
  • Vesco, Paola, Håvard Hegre, Michael Colaresi, Remco Bastiaan Jansen, Adeline Lo, Gregor Reisch, and Nils Weidmann. 2022. “United They Stand: Findings from an Escalation Prediction Competition.” International Interactions 48 (4): 1–37. doi:10.1080/03050629.2022.2029856.
  • Ward, Michael, Nils Metternich, Cassy Dor, Max Gallop, Florian M. Hollenbach, Anna Schultz, and Simon Weschle. 2013. “Learning from the past and Stepping into the Future: Toward a New Generation of Conflict Prediction.” International Studies Review 15 (4): 473–490. doi:10.1111/misr.12072.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.