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Searching and Clustering Methodologies

Author

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  • Kevin Driscoll
  • Kjerstin Thorson

Abstract

People create, consume, and share content online in increasingly complex ways, often including multiple news, entertainment, and social media platforms. This article explores methods for tracing political media content across overlapping communication infrastructures. Using the 2011 Occupy Movement protests and 2013 consumer boycotts as cases, we illustrate methods for creating integrated datasets of political event-related social media content by (1) using fixed URLs to link posts across platforms ( URL-based integration) and (2) using semiautomated text clustering to identify similar posts across social networking services ( thematic integration). These approaches help to reveal biases in the way that we characterize political communication practices that may occur when we focus on a single platform in isolation.

Suggested Citation

  • Kevin Driscoll & Kjerstin Thorson, 2015. "Searching and Clustering Methodologies," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 134-148, May.
  • Handle: RePEc:sae:anname:v:659:y:2015:i:1:p:134-148
    DOI: 10.1177/0002716215570570
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