Currently in FirstView: In “A Multilevel Model for Coalition Governments: Uncovering Party-Level Dependencies Within and Between Governments,” Benjamin Rosche extends the Multiple Membership Multilevel Model to represent the multilevel structure of coalition government data.

Currently in FirstView: In “Accounting for Protest Voting in the U.S. Congress,” Anthony Fowler and Jeffrey B. Lewis estimate a model of congressional voting that allows for non-ideological protest voting. This has significant implications for roll-call estimates of ideology.

Currently in FirstView: In “A Dynamic Discrete Choice Approach to Attitude Stability and Constraint,” @alecia-nepaul.bsky.social and Steven Stern introduce a discrete choice framework to identify influential attitudes within attitude systems.

Currently in FirstView: in “Refining Gamson: The Isometric Log-Ratio Transformation and Portfolio Proportionality in Multiparty Governments,” Lanny Martin and Georg Vanberg propose the isometric log-ratio (ILR) as an alternative to the additive log-ratio (ALR) transformation.

Currently in FirstView: in “Modeling Hierarchical Spatial Interdependence for Limited Dependent Variables,” Ali Kagalwala and Kankyeul Yang propose a class of spatial hierarchical models with binary outcomes to account for spatially independent and spatially dependent unobserved group effects.

Currently in FirstView: in “Potential and Pitfalls of Audio as Data for Political Research: Alignment, Features, and Classification Models,” @r-mestre.bsky.social and Matt Ryan provide solutions to challenges encountered when analyzing audio data in political science.

Currently in FirstView: In “Survey Quality and Acquiescence Bias: A Cautionary Tale,” Andrés Cruz, Adam Bouyamourn, and @joeornstein.bsky.social discuss the dangers of drawing inferences from low-quality survey datasets. They replicate an experiment on acquiescence and misinformation.

Currently in FirstView: In “Extractive versus Generative Language Models for Political Conflict Text Classification,” P. Brandt, S. Alsarra, F. D’Orazio, @dagmarheintze.bsky.social, L. Khan, S. Meher, @javierosorio.bsky.social, & M. Sianan review and benchmark the ConfliBERT model.

The January 2026 issue of Political Analysis is out and currently free to read. Check it out now through the end of February!

Currently in FirstView: In “Bayesian Sensitivity Analysis for Unmeasured Confounding in Causal Panel Data Models,” Licheng Liu and Teppei Yamamoto develop a Bayesian sensitivity analysis (BSA) method for causal panel data analysis.

Currently in FirstView: In “Stay Tuned: Improving Sentiment Analysis and Stance Detection Using Large Language Model,” Max Griswold, Michael Robbins, and @sociologian.bsky.social evaluate fine-tuning strategies to improve LLM performance using social media data surrounding the 2020 election.

Currently in FirstView: In “Political DEBATE: Efficient Zero-Shot and Few-Shot Classifiers for Political Text,” Michael Burnham, Kayla Kahn, Ryan Yang Wang, and Rachel Peng introduce DEBATE, a new open source foundation model for classifying political documents.

NEW ISSUE from @polanalysis.bsky.social - Political Analysis - Volume 34 - Issue 1 - January 2026 - https://cup.org/4aAPBWB

Currently in FirstView: In “Analyzing Political Text at Scale with Online Tensor LDA,” @sarakangaslahti.bsky.social, Danny Ebanks, @jeankossaifi.bsky.social, Anqi Liu, @rmichaelalvarez.bsky.social, and Anima Anandkumar introduce a topic modeling method that scales linearly to billions of documents.

Currently in FirstView: In “Measuring Politicians’ Public Personality Traits Using Computational Text Analysis: A Multimethod Feasibility Study for Agency and Communion,” @lukasbirkenmai1.bsky.social and Clemens Lechner introduce an approach to infer politicians’ personality traits from text data.

Currently in FirstView: In “Nationally Representative, Locally Misaligned: The Biases of Generative Artificial Intelligence in Neighborhood Perception,” Paige Bollen, @joehigton.bsky.social, and @msands.bsky.social test which populations Generative AI is most representative of.

Currently in FirstView: In “Survey Professionalism: New Evidence from Web Browsing Data,” Bernhard Clemm von Hohenberg, @tiagoventura.bsky.social, Tiago Ventura, @jonathannagler.bsky.social, @ericka.bric.digital, & Magdalena Wojcieszak provide evidence on survey professionalism across three samples.

Currently in FirstView: In “Meaning Beyond Numbers: Introducing the Plot Staircase to Measure Graphical Preferences,” @talbotmandrews.bsky.social, Justin Curl, and Markus Prior examine how visual characteristics influence preferences. They find that people prefer increasing trends.

Currently in FirstView: In “Codebook LLMs: Evaluating LLMs as Measurement Tools for Political Science Concepts,” @ahalterman.bsky.social and @katakeith.bsky.social show how “off-the-shelf” LLMs have limitations in faithfully following real-world codebook operationalizations.

Currently in FirstView: In “A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate,” @adelineylo.bsky.social, Santiago Olivella, and Kosuke Imai develop a statistical model of bipartite networks and offer an open-source software package for researchers.

Currently in FirstView: In “Generative AI and Topological Data Analysis of Longitudinal Panel Data,” Badredine Arfi constructs an approach to analysing longitudinal panel data which combines topological data analysis and generative AI applied to graph neural networks (GNNs).

Currently in FirstView: In “Probabilistic Record Linkage Using Pretrained Text Embeddings,” @joeornstein.bsky.social introduces the R package fuzzylink and shows how to incorporate pretrained text embeddings into probabilistic record linkage procedure.

Currently in FirstView: In “Decomposing Network Influence: Social Influence Regression,” Shahryar Minhas and Peter Hoff introduce the social influence regression (SIR) model. The SIR model is for relational data that incorporates exogenous covariates into the estimation of influence patterns.

Currently in FirstView: In “Explaining Differences in Voting Patterns across Voting Domains Using Hierarchical Bayesian Models,” Erin Lipman, Scott Moser, and Abel Rodriguez extend spatial voting models with a hierarchical Bayesian approach that estimates legislators’ ideal points.

Currently in FirstView: In “Measuring Media Criticism with ALC Word Embeddings,” @cbarrie.bsky.social, Neil Ketchley, @aasiegel.bsky.social, and Mossaab Bagdouri introduce a method for estimating media criticism using à la carte word embeddings which requires only minimal computational resources.

Currently in FirstView: In “An Expert-Sourced Measure of Judicial Ideology,” @kevinlcope.bsky.social develops a method for estimating the ideology of federal judges. He introduces the Jurist-Derived Judicial Ideology Score (JuDJIS) which is based on over 20,000 evaluations by a sample of jurists.

Currently in FirstView: “Moral Foundation Measurements Fail to Converge on Multilingual Party Manifestos.” @marvins.bsky.social and @fhopp.bsky.social examine 810 party manifestos in 4 languages to study how different instruments lead to different results for extracting moral foundations.

Currently in FirstView: In “Detecting Formatted Text: Data Collection Using Computer Vision,” Jonathan Colner describes a workflow process for structured text extraction using free software. This method is useful for poorly-formatted sources that require researchers to extract each item by hand.

Currently in FirstView: “Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict” by David Randahl, Jonathan P. Williams, and Håvard Hegre. The authors discuss bin-conditional conformal prediction (BCCP) as an alternative to models that lack uncertainty estimates.

Currently in FirstView: In “Balancing Precision and Retention in Experimental Design,” @gustavodiaz.org and Erin Rossiter study how experimental design choices can increase precision when estimating treatment effects. Specifically, they examine block-randomized and pre-post designs.

Currently in FirstView: "Estimating the Local Average Treatment Effect Without the Exclusion Restriction." @zmarkovich.bsky.social introduces the Compliance Probability Weighting estimator, which enables inference about the LATE without relying on monotonicity or principal ignorability.

Currently in FirstView: In “Measuring the Quality of Answers in Political Q&As with Large Language Models,” @rmichaelalvarez.bsky.social and Jacob Morrier develop an approach for measuring the quality of answers in Q&A sessions using data from the Question Period in the Canadian House of Commons.

Currently in FirstView: In “What to Observe When Assuming Selection on Observables,” Kevin M. Quinn, Guoer Liu, Lee Epstein, and Andrew Martin clarify how most estimators justified by a selection-on-observables assumption are special cases of a general weighting estimator.

Currently in FirstView: In “Accessibility and Equity in the Research Process: Gender Bias in Elite Interview Recruitment,” Margaret A. T. Kenney and John Salchak study how researcher identity affects the research process. Specifically, they look at how this influences elite interview recruitment.

The latest issue of PA is out now. We have a great collection of papers by @yamilrvelez.bsky.social, @sysilviakim.bsky.social, @mattblackwell.bsky.social, @sophieehill.bsky.social, @dwlee.bsky.social, @melissazrogers.bsky.social, @kaipingchen.bsky.social, @samuelbaltz.bsky.social (1/2)

Currently in FirstView: “Generalizing Trimming Bounds for Endogeneously Missing Outcome Data Using Random Forests." @cdsamii.bsky.social, Ye Wang, @jlzhou.bsky.social‬ present a partial identification approach that avoids strong assumptions. This is illustrated using a simulation and replication.

Currently in FirstView: “Fixed Effects, Lagged Dependent Variables, and Bracketing: Cautionary Remarks” by Matei Demetrescu, Manuel Frondel, Lukas Tomberg, and Colin Vance investigates a bracketing property used to yield bounds on treatment effects from fixed effects and lagged DV models.

#OpenAccess from @polanalysis.bsky.social - Generative AI and Topological Data Analysis of Longitudinal Panel Data - cup.org/460fgFn - Badredine Arfi #FirstView

Currently in FirstView: In “Attention and Political Choice: A Foundation for Eye Tracking in Political Science,” Libby Jenke and Nicolette Sullivan explain what eye tracking allows researchers to measure and how these measures are relevant to political science questions.

#OpenAccess from @polanalysis.bsky.social - Decomposing Network Influence: Social Influence Regression - cup.org/3UKZjwv "provides a statistical mechanism for explaining actor influence based on observable traits" - Shahryar Minhas & Peter D. Hoff #FirstView

Currently in FirstView: “Mapping (A)Ideology: A Taxonomy of European Parties Using Generative LLMs as Zero-Shot Learners.” Riccardo Di Leo, @zengchen.bsky.social, @eliasdinas.bsky.social‬, and @redatamtam.bsky.social see if ML can obtain measures of party ideology that match the validity of experts.

Currently in FirstView: “Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Content.” @kaipingchen.bsky.social and and colleagues introduce “vec-tionaries” which are embedding-based tools for measuring latent features of messages.

Currently in FirstView: In “Seeing Like a District: Understanding What Close-Election Designs for Leader Characteristics Can and Cannot Tell Us,” Andrew Bertoli and Chad Hazlett examine the limitations of politician characteristic regression discontinuity (PCRD) designs.

We are pleased to announce the 2025 Editors’ Choice Award for the paper “How Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice Based on 67 Replicated Studies” by @apoorvalal.com‬, @maclockhart.bsky.social, @yiqingxu.bsky.social‬, and @garyzu.bsky.social.

The latest winning article of the @polanalysis.bsky.social Editors' choice has been announced, find out more - cup.org/4551W22 The articles represent papers that the Editors see as providing an especially significant contribution to political methodology.

#OpenAccess from @polanalysis.bsky.social - Detecting Formatted Text: Data Collection Using Computer Vision - cup.org/3IMLbjB "This letter describes a workflow process for structured text extraction using free models and software" - Jonathan Colner #FirstView

#OpenAccess from @polanalysis.bsky.social - Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict - cup.org/4mjbJHl - David Randahl, Jonathan P. Williams & Håvard Hegre #FirstView

Currently in FirstView: In “Priming Bias Versus Post-Treatment Bias in Experimental Designs,” @mattblackwell.bsky.social, Jacob Brown, @sophieehill.bsky.social, Kosuke Imai, and Teppei Yamamoto analyze the trade-off between post-treatment and priming biases in survey experiments.

Currently in FirstView: In “Addressing Measurement Errors in Ranking Questions for the Social Sciences,” Yuki Atsusaka and @sysilviakim.bsky.social examine the statistical consequences of measurement error and introduce a framework for improving ranking data analysis.

Currently in FirstView: In “The Modifiable Areal Unit Problem in Political Science,” @dwlee.bsky.social, @melissazrogers.bsky.social‬, and Hillel David Soifer discuss the MAUP and how the size of spatial units and the location of their borders affect empirical results.