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Early warning signals for war in the news

Author

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  • Thomas Chadefaux

    (ETH Zurich)

Abstract

There have been more than 200 wars since the start of the 20th century, leading to about 35 million battle deaths. However, efforts at forecasting conflicts have so far performed poorly for lack of fine-grained and comprehensive measures of geopolitical tensions. In this article, a weekly risk index is derived by analyzing a comprehensive dataset of historical newspaper articles over the past century. News reports have the advantage of conveying information about contemporaries’ interpretation of events and not having to rely on meaning inferred a posteriori with the benefit of hindsight. I applied this new index to a dataset of all wars within and between countries recorded since 1900, and found that the number of conflict-related news items increases dramatically prior to the onset of conflict. Using only information available at the time, the onset of a war within the next few months could be predicted with up to 85% confidence and predictions significantly improved upon existing methods both in terms of binary predictions (as measured by the area under the curve) and calibration (measured by the Brier score). Predictions also extend well before the onset of war – more than one year prior to interstate wars, and six months prior to civil wars – giving policymakers significant additional warning time.

Suggested Citation

  • Thomas Chadefaux, 2014. "Early warning signals for war in the news," Journal of Peace Research, Peace Research Institute Oslo, vol. 51(1), pages 5-18, January.
  • Handle: RePEc:sae:joupea:v:51:y:2014:i:1:p:5-18
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    Citations

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    Cited by:

    1. Mueller, Hannes & Rauh, Christopher, 2018. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," American Political Science Review, Cambridge University Press, vol. 112(2), pages 358-375, May.
    2. Toke S. Aidt & Facundo Albornoz & Esther Hauk, 2019. "Foreign Influence and Domestic Policy: A Survey," Working Papers 1072, Barcelona School of Economics.
    3. Mark Musumba & Naureen Fatema & Shahriar Kibriya, 2021. "Prevention Is Better Than Cure: Machine Learning Approach to Conflict Prediction in Sub-Saharan Africa," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
    4. Peipei Qi & Dandan Sun & Can Xu & Qiang Li & Qi Wang, 2023. "Can Data Elements Promote the High-Quality Development of China’s Economy?," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    5. Rodriguez-Lopez, Jesus & Solis-Garcia, Mario, 2018. "Defense spending and fiscal multipliers: it's all in the variance," MPRA Paper 86911, University Library of Munich, Germany.
    6. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    7. Toke S. Aidt & Facundo Albornoz & Esther Hauk, 2021. "Foreign Influence and Domestic Policy," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 426-487, June.
    8. Andreas Dibiasi & David Iselin, 2021. "Measuring Knightian uncertainty," Empirical Economics, Springer, vol. 61(4), pages 2113-2141, October.
    9. Tapsoba, Augustin, 2022. "Conflict Prediction using Kernel Density Estimation," TSE Working Papers 22-1295, Toulouse School of Economics (TSE).
    10. Layal Mansour-Ichrakieh, 2021. "The Impact of Israeli and Saudi Arabian Geopolitical Risks on the Lebanese Financial Market," JRFM, MDPI, vol. 14(3), pages 1-24, February.
    11. Oguzhan Turkoglu, 2022. "Supporting rebels and hosting refugees: Explaining the variation in refugee flows in civil conflicts," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(2), pages 136-149, March.
    12. Halkos, George E. & Aslanidis, Panagiotis – Stavros C., 2023. "Sustainable energy development in an era of geopolitical multi-crisis. Applying productivity indices within institutional framework," Resources Policy, Elsevier, vol. 85(PB).
    13. Faruk Balli & Hatice Ozer Balli & Mudassar Hasan & Russell Gregory-Allen, 2022. "Geopolitical risk spillovers and its determinants," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(2), pages 463-500, April.

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