Currently in FirstView: In “Monotone Ecological Inference,” Hadi Elzayn, @jacobsgoldin.bsky.social, Cameron Guage, Daniel Ho, and Claire Morton characterize the biases of, and relationships among ecological inference (EI) estimators for identifying group means and differences.

Currently in FirstView: In “On the Foundations of the Design-Based Approach,” P. M. Aronow, Austin Jang, and @mollyow.bsky.social propose a design-based framework for analyzing randomized trials and survey sampling that avoids strong claims about the data-generating process.

Currently in FirstView: In “Post-Treatment Problems: What Can We Say about the Effect of a Treatment among Sub-Groups Who (Would) Respond in Some Way?,” Chad Hazlett, Nina McMurry, and Tanvi Shinkre propose the treatment reactive average causal effect (TRACE).

Currently in FirstView: In “Estimating Treatment Effects on Proportions with Synthetic Controls,” @bogatyrev.bsky.social and @lstoetze.bsky.social examine synthetic control methods (SCMs) and make the case for jointly estimating synthetic controls across multiple compositional outcomes.

Currently in FirstView: In “Improving Small-Area Estimates of Public Opinion by Calibrating to Known Population Quantities,” @wpmarble.bsky.social and Josh Clinton provide a framework for incorporating known population data to improve estimates of small subgroups in MRP models.

Currently in FirstView: In “Text as Behavior,” @owasow.bsky.social proposes using features of open-ended tasks to study text as behavior. Stats like the number of characters can approximate effort and significantly improve estimation.

Currently in FirstView: In “Democracy Manifest or Democracy Latent? A Unified Framework for Identifying Regime Types and Transitions,” @omerorsun.bsky.social and Muhammet A. Bas develop and validate a framework to study regimes that addresses measurement uncertainty and missing data.

Currently in FirstView: In “Using Multilingual Language Technology to Classify Open-Ended Survey Responses: Conceptions of Democracy in a Cross-Cultural Survey Setting,” S. Dahlberg, L. Dürlich, S. Axelsson, Y. Zhao, and J. Nivre examine the use of LMs in analyzing open-ended survey responses.

Currently in FirstView: In “Adaptive Randomization in Conjoint Survey Experiments,” @jennahgosciak.bsky.social, @dmolitor.bsky.social, and @ianlundberg.bsky.social develop an adaptive design for conjoint experiments that summarizes the range of effects of one attribute as a function of all others.

Currently in FirstView: In “From Faces to Politics: Vision-Language Models (Sometimes) Link Visual Demographic Characteristics to Ideological Labels,” S. Jeon, M. Lee, @jacobmontgomery.bsky.social, and @calvinklai.bsky.social ask how models use demographics as shortcuts for ideological attribution.

Currently in FirstView: In “Correcting Nonignorable Nonresponse Bias in Turnout Estimation Using Callback Data,” Xinyu Li, Naiwen Ying, Kendrick Qijun Li, Xu Shi, and Wang Miao look at the role of callback data as a way of adjusting for nonresponse bias in estimating voter turnout.

Currently in FirstView: In “Inference at the Data’s Edge: Gaussian Processes for Estimation and Inference in the Face of Extrapolation Uncertainty,” Soonhong Cho, Doeun Kim, and Chad Hazlet illustrate the value of Gaussian Processes (GPs) for capturing counterfactual uncertainty. 

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!

Cambridge University Press Political Science & IR@cambup-polsci.cambridge.org · 6mo ago

Where not #OpenAccess the articles in the latest issue of @polanalysis.bsky.social are free to read until the end of February 2026 - Volume 34 - Issue 1 - https://cup.org/3MZBd0o

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.