At the Nexus of Big Data and Dispute Resolution: A Case Study on Conflict-Related Search Data
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This paper presents findings from an ongoing project that has analysed over 225 million annual online conflict-related search queries to better understand the scope and scale of conflict in America. The frequency, location, sentimentality and timing of 52,203 unique conflict search terms were monitored for every US county. Analysis has revealed the public’s collective interests and conflict intensities within 225 distinct conflict contexts, many of which have cyclical trends that can inform resource development and deployment efforts. It has allowed for the creation of maps detailing where conflict arrests or avoids local populations. Finally, it has revealed new insights into how the public prioritises frames for their conflicts and their preferred resolutions. Creative integration of traditional and previously unaligned data, such as presented here, will change the dispute resolution field with regard to its understanding of the dispute resolution marketplace, the surfacing of opportunities to satisfy that market, and the ability to monitor the resulting impact of interventions from the personal to broad societal levels.
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