Truthy: enabling the study of online social networks

Authors:
Karissa Rae McKelvey;Filippo Menczer
Affiliations:
Indiana University, Bloomington, IN, USA;Indiana University, Bloomington, IN, USA
Venue:
Proceedings of the 2013 conference on Computer supported cooperative work companion
Year:
2013

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Abstract

The broad adoption of online social networking platforms has made it possible to study communication networks at an unprecedented scale. Digital trace data can be compiled into large data sets of online discourse. However, it is a challenge to collect, store, filter, and analyze large amounts of data, even by experts in the computational sciences. Here we describe our recent extensions to Truthy, a system that collects Twitter data to analyze discourse in near real-time. We introduce several interactive visualizations and analytical tools with the goal of enabling citizens, journalists, and researchers to understand and study online social networks at multiple scales.