Political Analysis

Papers
(The TQCC of Political Analysis is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text478
Accessibility and Equity in the Research Process: Gender Bias in Elite Interview Recruitment121
Measuring Distances in High Dimensional Spaces107
Bayesian Sensitivity Analysis for Unmeasured Confounding in Causal Panel Data Models86
Integrating Data Across Misaligned Spatial Units69
Parameterizing Spatial Weight Matrices in Spatial Econometric Models68
When Correlation Is Not Enough: Validating Populism Scores from Supervised Machine-Learning Models38
Measuring Closeness in Proportional Representation Systems30
Synthetically generated text for supervised text analysis26
Ends Against the Middle: Measuring Latent Traits when Opposites Respond the Same Way for Antithetical Reasons26
A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate25
Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI24
Relatio: Text Semantics Capture Political and Economic Narratives – ERRATUM23
A Nonparametric Bayesian Model for Detecting Differential Item Functioning: An Application to Political Representation in the US21
Detecting and Correcting for Separation in Strategic Choice Models18
On Finetuning Large Language Models16
PAN volume 30 issue 4 Cover and Back matter16
Validating the Applicability of Bayesian Inference with Surname and Geocoding to Congressional Redistricting14
Refining Gamson: The Isometric Log-Ratio Transformation and Portfolio Proportionality in Multiparty Governments13
Generative AI and Topological Data Analysis of Longitudinal Panel Data11
Estimating the Local Average Treatment Effect Without the Exclusion Restriction11
Contagion, Confounding, and Causality: Confronting the Three C’s of Observational Political Networks Research11
How Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice Based on 67 Replicated Studies10
A Framework for the Unsupervised and Semi-Supervised Analysis of Visual Frames10
Selecting More Informative Training Sets with Fewer Observations10
Categorizing Topics Versus Inferring Attitudes: A Theory and Method for Analyzing Open-ended Survey Responses9
A Dynamic Discrete Choice Approach to Attitude Stability and Constraint9
Hierarchically Regularized Entropy Balancing9
Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict8
Priming Bias Versus Post-Treatment Bias in Experimental Designs8
Generalized Kernel Regularized Least Squares8
Proportionally Less Difficult?: Reevaluating Keele’s “Proportionally Difficult”8
Countering Non-Ignorable Nonresponse in Survey Models with Randomized Response Instruments and Doubly Robust Estimation8
The Probability of Casting a Pivotal Vote in an Instant Runoff Voting Election8
Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations8
Cross-Lingual Classification of Political Texts Using Multilingual Sentence Embeddings7
PAN volume 31 issue 3 Cover and Back matter5
Multiple Hypothesis Testing in Conjoint Analysis5
Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds5
Measuring Media Criticism with ALC Word Embeddings5
Accounting for Protest Voting in the U.S. Congress5
When Can We Trust Regression Discontinuity Design Estimates from Close Elections? Evidence from Experimental Benchmarks5
Positioning Political Texts with Large Language Models by Asking and Averaging - CORRIGENDUM5
Attention and Political Choice: A Foundation for Eye Tracking in Political Science5
Odd Profiles in Conjoint Experimental Designs: Effects on Survey-Taking Attention and Behavior5
Out of One, Many: Using Language Models to Simulate Human Samples5
Analyzing Political Text at Scale with Online Tensor LDA5
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