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Arthur Spirling · Study

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Arthur Spirling

18 works· latest 2025· 4 institutionscluster: provisionalORCID 0000-0001-9959-1805

h-index14

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Citations1,597

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Most cited in this library

Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It2017 · 466 citations
Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research2021 · 249 citations
Strategic Opposition and Government Cohesion in Westminster Democracies2011 · 117 citations
Why open-source generative AI models are an ethical way forward for science2023 · 104 citations
Measuring and Explaining Political Sophistication Through Textual Complexity2017 · 101 citations

Works

18 shown

Measuring Distances in High Dimensional Spaces

Political Analysis·2025·4 authors·Open access

1citations

Using proprietary language models in academic research requires explicit justification

Nature Computational Science·2023·3 authors·Open access

51citations

Large Language Models Can Argue in Convincing Ways About Politics, But Humans Dislike AI Authors: implications for Governance

Political Science·2023·2 authors

23citations

Why open-source generative AI models are an ethical way forward for science

Nature·2023·1 author·Open access

104citations

Embedding Regression: Models for Context-Specific Description and Inference

American Political Science Review·2023·3 authors·Open access

72citations

Replication Data for: Embedding Regression: Models for Context-Specific Description and Inference

Harvard Dataverse·2022

·3 authors

·dataset

·Open access

1citations

Turning History into Data: Data Collection, Measurement, and Inference in HPE

Journal of Historical Political Economy·2021·2 authors

21citations

Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research

The Journal of Politics·2021·2 authors

249citations

Classification Accuracy as a Substantive Quantity of Interest: Measuring Polarization in Westminster Systems

Political Analysis·2018·1 author·Open access

83citations

Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It

Political Analysis·2017·2 authors·Open access

466citations

Measuring and Explaining Political Sophistication Through Textual Complexity

American Journal of Political Science·2017·3 authors·Open access

101citations

Asking too much? The rhetorical role of questions in political discourse

Conference on Empirical Methods in Natural Language Processing (EMNLP)·2017·2 authors·other·Open access

25citations

Assessing the Consequences of Text Preprocessing Decisions

SSRN Electronic Journal·2016·2 authors·preprint·Open access

9citations

Democratization and Linguistic Complexity: The Effect of Franchise Extension on Parliamentary Discourse, 1832–1915

The Journal of Politics·2015·1 author

69citations

U.S. Treaty Making with American Indians: Institutional Change and Relative Power, 1784–1911

American Journal of Political Science·2011·1 author

98citations

Strategic Opposition and Government Cohesion in Westminster Democracies

American Political Science Review·2011·2 authors

117citations

Under the Influence? Intellectual Exchange in Political Science

PS Political Science & Politics·2008·1 author·Open access

13citations

UK OC OK? Interpreting Optimal Classification Scores for the U.K. House of Commons

Political Analysis·2006·2 authors

94citations