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Debate Reaction Ideal Points: Political Ideology Measurement Using Real-Time Reaction Data

Author

Listed:
  • Argyle Daniel

    (FiscalNote Research, Washington, DC, USA)

  • Argyle Lisa P.

    (Department of Political Science, Brigham Young University, 745 KMBL, Provo, UT, USA)

  • Eidelman Vlad

    (FiscalNote Research, Washington, DC, USA)

  • Resnik Philip

    (Department of Linguistics and Institute for Advanced Computer Studies, University of Maryland, College Park, College Park, MD, USA)

Abstract

Ideal point models have become a powerful tool for defining and measuring the ideology of many kinds of political actors, including legislators, judges, campaign donors, and members of the general public. We extend the application of ideal point models to the public using a novel data source: real-time reactions to statements by candidates in the 2012 presidential debates. Using these reactions as inputs to an ideal point model, we estimate individual-level ideology and evaluate the quality of the measure. Debate reaction ideal points provide a method for estimating a continuous, individual-level measure of ideology that avoids survey response biases, provides better estimates for moderates and the politically unengaged, and reflects the content of salient political discourse relevant to viewers’ attitudes and vote choices. As expected, we find that debate reaction ideal points are more extreme among respondents who strongly identify with a political party, but retain substantial within-party variation. Ideal points are also more extreme among respondents who are more politically interested. Using topical subsets of the debate statements, we find that ideal points in the sample are more moderate for foreign policy than for economic or domestic policy.

Suggested Citation

  • Argyle Daniel & Argyle Lisa P. & Eidelman Vlad & Resnik Philip, 2021. "Debate Reaction Ideal Points: Political Ideology Measurement Using Real-Time Reaction Data," Statistics, Politics and Policy, De Gruyter, vol. 12(1), pages 5-28, June.
  • Handle: RePEc:bpj:statpp:v:12:y:2021:i:1:p:5-28:n:3
    DOI: 10.1515/spp-2020-0012
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