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政治行为

The Politics of Criminalized Places: Aggressive Policing and Political Mobilization

JOP — 2026-09-14 Original The Politics of Criminalized Places: Aggressive Policing and Political Mobilization Daniel Naftel Abstract (原文未提供摘要) 中文 犯罪化地区的政治:激进警务与政治动员 Daniel Naftel 摘要 原文未提供摘要 关键词 激进警务、政治动员、犯罪化地区、政治行为、刑事司法 DOI: 10.1086/744063 查看原文 →

Balancing Particularism and Universalism in Welfare Policy: Insights From China's Hukou Reform

PSJ 54/4 2026-09-09 Original Balancing Particularism and Universalism in Welfare Policy: Insights From China's Hukou Reform Liu Chen, Tom Christensen, Xufeng Zhu Abstract ABSTRACT Welfare policies often combine particularistic and universalistic elements, yet we know less about how shifts in this balance shape public attitudes toward vulnerable low‐status groups. This article develops a three‐dimensional framework for analyzing welfare policy, distinguishing among welfare scope, welfare benefits, and inclusion criteria. We argue that public attitudes toward lower‐status groups are shaped by the combined signal about the welfare deservingness hierarchy generated by the configuration of particularistic and universalistic elements across these dimensions. Because policy design packages convey a broader normative stance about who belongs and who deserves, they can influence perceptions of groups that are not directly targeted by a policy change, lowering or raising their perceived deservingness. Using difference‐in‐differences and regression discontinuity methods, we analyze Weibo posts during China's two‐round hukou reform. We find that shifts toward more particularistic policy configurations lead to more negative attitudes toward low‐skilled migrant workers, whereas shifts toward more universalistic configurations yield more positive attitudes. Subgroup analyses yield suggestive patterns across local economic contexts and individual characteristics. These findings have broader implications for research on welfare policy systems and for reform efforts regarding social integration.

State-sponsored agenda setting: Measuring the impact of narrative laundering

PNAS 123/36 pp. e2534920123-e2534920123 2026-09-04 Original State-sponsored agenda setting: Measuring the impact of narrative laundering Patrick L. Warren, Darren L. Linvill, Camille J. Saucier Abstract Foreign information manipulation and interference (FIMI) is an important part of the digital information ecosystem, yet its effects are poorly understood. Most research analyzing FIMI to date is descriptive, exposing efforts to erode trust, promote favorable narratives, and target specific communities. Existing work evaluating the impacts of FIMI contrasts those directly exposed to FIMI messaging (by viewing the original messages) with those who were not, finding little evidence of changes in beliefs or behavior. Rather than persuading individuals directly, we argue FIMI often operates through agenda-setting processes that shape which issues and narratives dominate public discourse. A key component of this process is narrative laundering, whereby misleading content is scrubbed of its origins and circulated into mainstream channels. This study examines the Russian-aligned Storm-1516 campaign, which uses state media, fabricated sites, and paid influencers to elevate false narratives, especially those that implicate Ukrainian President Volodymyr Zelenskyy in corrupt acts. By analyzing the dissemination of these narratives, we assess how Storm-1516 shifts the public agenda, illustrating how foreign influence can exert substantial effects on information environments even when individual-level persuasive effects may be limited.

Leveraging generative AI for causal inference with unstructured data

PNAS 123/36 pp. e2530532123-e2530532123 2026-09-03 Original Leveraging generative AI for causal inference with unstructured data Kosuke Imai, Kentaro Nakamura Abstract We introduce GenAI-Powered Inference (GPI), a statistical framework for causal inference using unstructured data, including text and images. GPI leverages open-source pretrained Generative AI (GenAI) models-such as large language models and diffusion models-not only to generate unstructured data at scale but also to extract low-dimensional representations that are guaranteed to capture their underlying structure. Applying machine learning to these representations, GPI enables estimation of causal effects while quantifying estimation uncertainty. Unlike existing approaches to representation learning, GPI does not require fine-tuning of GenAI models, making it computationally efficient and broadly accessible. We illustrate the versatility of the GPI framework through three applications: 1) estimating the effects of Chinese social media censorship while adjusting for textual confounders, 2) isolating the impact of specific image features from that of other correlated features in the same image, and 3) assessing the persuasiveness of political rhetoric. An open-source software package is available for implementing GPI.

Feminized Revival: Han Chinese Dress, Gender and Cultural Nationalism in Contemporary China

CQ — pp. 1-17 2026-09-01 Original Feminized Revival: Han Chinese Dress, Gender and Cultural Nationalism in Contemporary China Fuyun Wei Abstract Abstract Women hold disproportionate authority in China’s contemporary Hanfu revival, where Han-ness operates through implicit cultural codes rather than explicit ethnic claims. Recent scholarship highlights how Han-ness circulates as a moral, etiquette-centred grammar of “proper culture.” Drawing on 18 months of ethnography across six sites in China, this article shows how gender mediates that grammar and shapes the performances of Han-ness. Women, as arbiters of taste and propriety, enact an assertive banal nationalism through aesthetic and organizational labour. Men, marginal within the field, perform defensive overt nationalism through didactic historical narratives and moralized claims to legitimacy. To explain this pattern of identity formation and boundary making, I advance the notion of gendered everyday nationhood. The article contributes to scholarship on nationalism by showing how embodied practices sustain national belonging, and how mundane evaluation and boundary policing reproduce nationhood in everyday life.