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Understanding co-production with vulnerable populations: challenges, enablers and outcomes

PMR — pp. 1-37 2026-06-25 Original Understanding co-production with vulnerable populations: challenges, enablers and outcomes Angelica Zazzera, Denita Cepiku Abstract Co-production emerged to engage users in public services as an intrinsic source of value and a democratic right, generating empowerment and social capital. This normative promise is undermined by an equity problem: vulnerable populations face barriers to full participation and are systematically excluded from co-productive processes despite having the greatest need for public services. Although attention to this issue has grown, the literature lacks a comprehensive cross-sector, cross-population analysis. A systematic literature review combining bibliometric mapping with qualitative narrative synthesis is conducted, placing vulnerability and its consequences for the co-production process at the centre of inquiry. This article contributes to co-production theory by highlighting the limits of standard assumptions for vulnerable populations, and offers practical implications for designing inclusive co-production processes.

How Public Opinion Monitoring Services Are Reshaping Chinese Media

CQ — pp. 1-17 2026-06-25 Original How Public Opinion Monitoring Services Are Reshaping Chinese Media Haiyan Wang, Chunyan Huang, Liangen Yin Abstract Abstract Faced with the pressures of digital transformation, media organizations in China are undergoing a “think-tank turn,” in which Public Opinion Monitoring Services (POMS) are playing an integral role. This study uses POMS as a case to examine the digital transformation of Chinese media organizations and to explore the broader shifts in the political economy of Chinese media in the digital age. Combining in-depth interviews, fieldwork and analysis of secondary documents, this qualitative research study identifies the emergence of consulting as a “third role” of Chinese media, supplementing the traditional roles of news reporting and ideological propagation. This new role caters to the government’s need to govern the online space and manage public opinion through three primary operations: “timely firefighting” against dissident voices, “regular monitoring” of public opinion and the “periodic training” of information officials. In this context, POMS not only enable media organizations to navigate financial challenges but also significantly reshape their role and relationship with the state.

Running With Scissors? Integrating GPT Models Into Public Policy Research

PSJ — 2026-06-23 Original Running With Scissors? Integrating GPT Models Into Public Policy Research Giulia Mariani, Allegra H. Fullerton Abstract ABSTRACT The integration of large language models (LLMs) into public policy research presents both exciting opportunities and methodological challenges. This research note explores how OpenAI's GPT can be used to semi‐automate the annotation of legislative testimony within the Advocacy Coalition Framework, focusing on emotion‐belief dyads. Building on Emotion‐Belief Analysis, we demonstrate how GPT can assist in identifying these complex constructs under human supervision. Our contributions are threefold: (1) we provide practical guidance for applying LLMs to publicly available textual data, (2) we propose a semiautomated workflow that strengthens conceptual clarity, transparency, consistency, replicability, and accessibility, and (3) we reflect on the ethical and methodological implications of LLM‐assisted research. As LLMs continue to advance, this research note aims to help scholars balance innovation with rigor and integrate these tools responsibly into policy research, offering lessons that extend to the study of frames, discourses, narratives, and other ideational dimensions of policymaking.