Analysing Large-Scale News Media Content for Early Warning of Conflict

Pulse Lab New York

Project Description

A feasibility study conducted by UN Global Pulse and UNDP explored how data mining of large-scale online news data could complement existing tools and information for conflict analysis and early warning. Taking Tunisia as a test case, analysing news media archives from the period immediately prior to and following the January 2011 government transition, the study showed how tracking changes in tone and sentiment of news articles over time could offer insights about emerging conflicts. This study evidenced the considerable possibilities for further explorations into how mining of online digital content can be leveraged for conflict prevention.

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Below you can find our latest examples of our collaborative research, prototypes and experiments, where we analyse digital data to advance global development, support humanitarian action, and promote peace. For more, go to the research projects page.

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