DOI: 10.24251/hicss.2018.251
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Abstract: This paper presents a computationally assisted method for scaling researcher expertise to large, online social media datasets in which access is constrained and costly. Developed collaboratively between social and computer science researchers, this method is designed to be flexible, scalable, cost-effective, and to reduce bias in data collection. Online response to six case studies covering elections and election-related violence in Sub-Saharan African countries are explored using Twitter, a popular online mic…

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