The Death of Policy Process Theories? Agenda-Setting in the Age of Machines
Author
Abstract
Suggested Citation
DOI: 10.31219/osf.io/jnds4_v2
Download full text from publisher
References listed on IDEAS
- repec:osf:osfxxx:64bca_v1 is not listed on IDEAS
- Argyle, Lisa P. & Busby, Ethan C. & Fulda, Nancy & Gubler, Joshua R. & Rytting, Christopher & Wingate, David, 2023. "Out of One, Many: Using Language Models to Simulate Human Samples," Political Analysis, Cambridge University Press, vol. 31(3), pages 337-351, July.
- Francesco Salvi & Manoel Horta Ribeiro & Riccardo Gallotti & Robert West, 2025. "On the conversational persuasiveness of GPT-4," Nature Human Behaviour, Nature, vol. 9(8), pages 1645-1653, August.
- Daniel S Schiff, 2024. "Framing contestation and public influence on policymakers: evidence from US artificial intelligence policy discourse," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 43(3), pages 255-288.
- Deserai Anderson & Andrea Lawlor, 2016. "Media in the Policy Process: Using Framing and Narratives to Understand Policy Influences," Review of Policy Research, Policy Studies Organization, vol. 33(5), pages 472-491, September.
- Folco Panizza & Yara Kyrychenko & Jon Roozenbeek, 2026. "Survey-taking AI tools surpass human abilities. Here’s what we can do about it," Nature, Nature, vol. 650(8101), pages 293-295, February.
- Hui Bai & Jan G. Voelkel & Shane Muldowney & Johannes C. Eichstaedt & Robb Willer, 2025. "LLM-generated messages can persuade humans on policy issues," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
- Ilia Shumailov & Zakhar Shumaylov & Yiren Zhao & Nicolas Papernot & Ross Anderson & Yarin Gal, 2024. "AI models collapse when trained on recursively generated data," Nature, Nature, vol. 631(8022), pages 755-759, July.
- , Khoirunnisya, 2022. "Peranan Administrasi Pendidikan," OSF Preprints 64bca, Center for Open Science.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Hongshen Sun & Juanjuan Zhang, 2025. "From Model Choice to Model Belief: Establishing a New Measure for LLM-Based Research," Papers 2512.23184, arXiv.org.
- Eric Hitz & Mingmin Feng & Radu Tanase & Ren'e Algesheimer & Manuel S. Mariani, 2025. "The amplifier effect of artificial agents in social contagion," Papers 2502.21037, arXiv.org, revised Mar 2025.
- Kim, Soojong & Kim, Kwanho & Kim, Hye Min, 2025. "Large language models’ varying accuracy in recognizing risk-promoting and health-supporting sentiments in public health discourse: The cases of HPV vaccination and heated tobacco products," Social Science & Medicine, Elsevier, vol. 383(C).
- Felipe A. Csaszar & Harsh Ketkar & Hyunjin Kim, 2024. "Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors," Strategy Science, INFORMS, vol. 9(4), pages 322-345, December.
- Andrew Delios & Rosalie L. Tung & Arjen Witteloostuijn, 2025. "How to intelligently embrace generative AI: the first guardrails for the use of GenAI in IB research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 56(4), pages 451-460, June.
- Nguyen, Manh-Hung, 2026. "Epistemic Capital and Two-Trap Growth in the AI Era," TSE Working Papers 26-1722, Toulouse School of Economics (TSE), revised 10 Jun 2026.
- Andrew Katz & Gabriella Coloyan Fleming & Joyce B. Main, 2026. "Thematic analysis with open-source generative AI and machine learning: a new method for inductive qualitative codebook development," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-17, December.
- Li, Sihong & Chen, Jinglong, 2024. "Virtual human on social media: Text mining and sentiment analysis," Technology in Society, Elsevier, vol. 78(C).
- Koji Takahashi & Joon Suk Park, 2025. "Generative AI for Surveys on Payment Apps: AIs' View on Privacy and Technology," IMES Discussion Paper Series 25-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
- Hui Chen & Antoine Didisheim & Mohammad & Pourmohammadi & Luciano Somoza & Hanqing Tian, 2025. "A Financial Brain Scan of the LLM," Papers 2508.21285, arXiv.org, revised Feb 2026.
- Shalpegin, Timofey & Browning, Tyson R. & Kumar, Ajay & Shang, Guangzhi & Thatcher, Jason & Fransoo, Jan C. & Holweg, Matthias & Lawson, Benn, 2025. "Generative AI and empirical research methods in operations management," Other publications TiSEM 0eb52ee8-35d0-4c97-8732-8, Tilburg University, School of Economics and Management.
- John Conlon & Peter Schwardmann, 2026. "AI Sycophancy and Decisions," CESifo Working Paper Series 12681, CESifo.
- Heikkilä, Jussi T. S., 2024. "Human intelligence versus artificial intelligence in classifying economics research articles: exploratory evidence," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 81(7), pages 18-30.
- Nadav Kunievsky, 2025. "Polarization by Design: How Elites Could Shape Mass Preferences as AI Reduces Persuasion Costs," Papers 2512.04047, arXiv.org.
- repec:osf:socarx:8je9g_v1 is not listed on IDEAS
- repec:osf:osfxxx:r3qng_v1 is not listed on IDEAS
- Giulia Iadisernia & Carolina Camassa, 2025. "Prompting for Policy: Forecasting Macroeconomic Scenarios with Synthetic LLM Personas," Papers 2511.02458, arXiv.org.
- Matthew O. Jackson & Qiaozhu Me & Stephanie W. Wang & Yutong Xie & Walter Yuan & Seth Benzell & Erik Brynjolfsson & Colin F. Camerer & James Evans & Brian Jabarian & Jon Kleinberg & Juanjuan Meng & Se, 2025. "AI Behavioral Science," Papers 2509.13323, arXiv.org, revised May 2026.
- Hannes R. Stephan, 2020. "Shaping the Scope of Conflict in Scotland’s Fracking Debate: Conflict Management and the Narrative Policy Framework," Review of Policy Research, Policy Studies Organization, vol. 37(1), pages 64-91, January.
- Hallberg-Sramek, Isabella & Lindgren, Simon & Samuelsson, Jonatan & Sandström, Camilla, 2024. "Applying machine learning to media analysis improves our understanding of forest conflicts," Land Use Policy, Elsevier, vol. 144(C).
- Teppo Felin & Matthias Holweg, 2024. "Theory Is All You Need: AI, Human Cognition, and Causal Reasoning," Strategy Science, INFORMS, vol. 9(4), pages 346-371, December.
- George Gui & Seungwoo Kim, 2025. "Leveraging LLMs to Improve Experimental Design: A Generative Stratification Approach," Papers 2509.25709, arXiv.org.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:socarx:jnds4_v2. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://arabixiv.org .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/osf/socarx/jnds4_v2.html