Michael Colaresi

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Previous methods of analyzing the substance of political attention have had to make several restrictive assumptions or been prohibitively costly when applied to large-scale political texts. Here, we describe a topic model for legislative speech, a statistical learning model that uses word choices to infer topical categories covered in a set of speeches and(More)
Entries in the burgeoning ‘‘text-as-data’’ movement are often accompanied by lists or visualizations of how word (or other lexical feature) usage differs across some pair or set of documents. These are intended either to establish some target semantic concept (like the content of partisan frames) to estimate word-specific measures that feed forward into(More)
* I would like to express my gratitude to Kathleen Bawn, Eric C.C. Chang, Michael Colaresi, John Duggan, Hein Goemans, David Karol, Ronald Rogowski, and Christopher Wlezien for helpful comments, suggestions, or advice. Any remaining errors, unfortunately, remain undeniably mine. A previous version of this paper was presented at the Annual Meeting of the(More)
We introduce a technique for analyzing the temporal evolution of the salience of participants in a discussion. Our method can dynamically track how the relative importance of speakers evolve over time using graph based techniques. Speaker salience is computed based on the eigenvector centrality in a graph representation of participants in a discussion. Two(More)
We introduce a technique for identifying the most salient participants in a discussion. Our method, MavenRank is based on lexical centrality: a random walk is performed on a graph in which each node is a participant in the discussion and an edge links two participants who use similar rhetoric. As a test, we used MavenRank to identify the most influential(More)
Do public opinion dynamics play an important role in understanding conflict trajectories between democratic governments and other rival groups? We interpret several theories of opinion dynamics as competing clusters of contemporaneous causal links connoting reciprocity, accountability and credibility. We then translate these clusters into four distinct(More)
Do public opinion dynamics play an important role in understanding conflict dynamics between democracies and their international rivals? These opinion dynamics and government behavior are interpreted as particular causal links in models of reciprocity, accountability and credibility. Theoretical expectations about the character of these linkages are(More)
In some Latin American nations policy change occurs frequently, while in others it is stable, less prone to shifts with the prevailing political climate or shocks. The conditions under which institutional rules and the powers of key actors influence the capacity for governance vary, and this variation is seldom addressed in the literature. This project(More)
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