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Searching and Clustering Methodologies: Connecting Political Communication Content across Platforms

Searching and Clustering Methodologies: Connecting Political Communication Content across Platforms

Detailed Information
Title
Author
Kevin Driscoll, Kjerstin Thorson
Institution
Independent, University of Southern California
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.
Date of Publication
Recommended citation
Driscoll, Kevin, and Kjerstin Thorson. “Searching and Clustering Methodologies: Connecting Political Communication Content across Platforms.” The Annals of the American Academy of Political and Social Science, vol. 659, 2015, pp. 134–148.
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