- Eric Hamilton ORCID:orcid.org/0000-0002-2337-13287 &
- Andrew Hurford ORCID:orcid.org/0000-0002-3455-73207
Part of the book series:Communications in Computer and Information Science ((CCIS,volume 1785))
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Abstract
This paper extends an analytic framework for political discourse that takes place over digital social media. First proposed in 2020, the framework applies principles of epistemic frame theory and quantitative ethnography to classify and investigate relationships in political discourse patterns, to situate and visualize broad discourse patterns, and to facilitate ethnographic analysis that incorporates emotion as paramount to explaining these patterns. The paper also reviews the constructs of discursive transactions and emotional grammars to scaffold the framework’s explanatory value. This research is meant to use quantitative ethnography and its tools to contribute to a broader dialog on the nature and cost of dysfunctional political discourse patterns, to help researchers articulate both the spiraling nature of dysfunctional political discourse, and the profound damage it inflicts on social goals of fairness, well-being, and prosperity. Commentary threads following political articles from the Washington Post and the Wall Street Journal are modeled with the Epistemic Network Analysis (ENA) software tool to illustrate the viability of a political discourse coding system for the proposed framework.
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Acknowledgements
The authors gratefully acknowledge template language provided by the Wisconsin Center for Education Research for describing statistical results from the study.
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Pepperdine University, Malibu, CA, 90263, USA
Eric Hamilton & Andrew Hurford
- Eric Hamilton
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Correspondence toEric Hamilton.
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University of Oslo, Oslo, Norway
Crina Damşa
Drexel University School of Education, Philadelphia, PA, USA
Amanda Barany
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Hamilton, E., Hurford, A. (2023). Political Discourse Modeling with Epistemic Network Analysis and Quantitative Ethnography: Rationale and Examples. In: Damşa, C., Barany, A. (eds) Advances in Quantitative Ethnography. ICQE 2022. Communications in Computer and Information Science, vol 1785. Springer, Cham. https://doi.org/10.1007/978-3-031-31726-2_25
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