Events, patterns and analysis: forecasting conflict in the 21st century
Devika Subramania, Richard J. Stoll · International Conference on Digital Government Research · 2004
With the explosion of online news over the past few years and with recent advances in extracting information from text, the question we study is: is it possible to forecast the outbreak of serious conflict by monitoring news media from regions all over the world over extended periods of time, extracting information about events from them, and computationally analyzing the time series of extracted events? Our research is motivated by this question and this abstract presents preliminary studies that suggest the potential of automated events data extraction and analysis for predicting and understanding conflict.