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Visualizing Communication on Social Media: Making Big Data Accessible

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arxiv 1202.1367 v1 pith:GKORQ4ZR submitted 2012-02-07 cs.SI physics.soc-ph

Visualizing Communication on Social Media: Making Big Data Accessible

classification cs.SI physics.soc-ph
keywords socialdatadiscourselargecollaborationcommunicationmedianetworks
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The broad adoption of the web as a communication medium has made it possible to study social behavior at a new scale. With social media networks such as Twitter, we can collect large data sets of online discourse. Social science researchers and journalists, however, may not have tools available to make sense of large amounts of data or of the structure of large social networks. In this paper, we describe our recent extensions to Truthy, a system for collecting and analyzing political discourse on Twitter. We introduce several new analytical perspectives on online discourse with the goal of facilitating collaboration between individuals in the computational and social sciences. The design decisions described in this article are motivated by real-world use cases developed in collaboration with colleagues at the Indiana University School of Journalism.

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