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From Many Divides, One? The Polarization and Nationalization of American State Party Platforms, 1918–2017

Published online by Cambridge University Press:  07 March 2022

Daniel J. Hopkins*
Affiliation:
Department of Political Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Eric Schickler
Affiliation:
Department of Political Science, University of California, Berkeley, California, USA
David L. Azizi
Affiliation:
Independent Researcher, Philadelphia, Pennsylvania, USA
*
Corresponding author: Daniel J. Hopkins, Email: danhop@sas.upenn.edu
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Abstract

Many contend that U.S. state parties are increasingly polarized and nationalized, meaning that they have adopted divergent positions matching their national counterparts’ positions. Such trends reflect a transformation of America's historically decentralized party system. Yet, the precise timing of these related trends—as well as the mechanisms underpinning them—remain unclear. We assess these dynamics using a novel data set of 1,783 state party platforms between 1918 and 2017. Applying tools from automated and manual content analysis, we document a dramatic divergence in the topics emphasized by Democrats and Republicans starting in the mid-1990s, just as congressional speech became polarized. During this period, cross-state differences in each party's agenda decreased and regional/sectoral issues became less prominent, suggesting tight connections between polarization, nationalization, and state agendas. We also find that innovative phrases increasingly debut in state (not national) platforms. Overall, the evidence undercuts claims of top-down polarization emanating from national party leaders in Washington, DC. Polarization at the state and federal levels coincided with the development of an integrated network of activists spanning multiple levels of the polity.

Information

Type
Research Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Fig. 1. These figures present the platforms collected separately for state Republican parties (left) and state Democratic parties (right), with each dash representing a platform collected from that state and year, n = 1,783 platforms.

Figure 1

Fig. 2. These figures display the twenty most common meaningful trigrams sorted by differential partisan usage 1932–1960, with trigrams used more by Republican platforms at left and trigrams used more by Democratic platforms at right.

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Fig. 3. These figures display the twenty most common meaningful trigrams sorted by differential partisan usage 1961–1993, with trigrams used more by Republican platforms at left and trigrams used more by Democratic platforms at right.

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Fig. 4. These figures display the twenty most common meaningful trigrams sorted by differential partisan usage 1994–2017, with trigrams used more by Republican platforms at left and trigrams used more by Democratic platforms at right.

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Fig. 5. These figures display the over-time distributions of the 1,000 most frequent trigrams in the corpus. Each point represents the average number of trigrams coded in that category during the ten-year period centered on that year.

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Fig. 6. Fraction of top 1,000 trigrams coded as social, economic issues over time.

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Fig. 7. Novel trigrams by year.

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Fig. 8. Distribution of usage of select LDA topics over time for unigrams (top) and bigrams (bottom). Black triangles represent Democratic platforms; gray circles represent Republican platforms. The smoothed lines show eight-year averages beginning with the indicated year.

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Fig. 9. This figure presents select topics from the LDA output when fit to unigrams from platform segments.

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Fig. 10. Measures of partisan differences in topic usage. The dots lines show eight-year averages beginning with the indicated year.

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Table 1. The Unigram Topics Ranked by Mean Partisan Difference in 2008–2016

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Fig. 11. This figure presents two different measures of partisan differences in topic usage in the unigram data set over time. The smoothed lines show eight-year averages beginning with the indicated year.

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Fig. 12. These figures present two measures of the within-party difference in topic usage across states using the unigram data set. The sizes of the points represent the relative number of platforms within the party.

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