Hasil untuk "Political science"

J. L. Larson

S. Fankhauser, Stephen M. Smith, M. Allen et al.

M. Hulme

María Puig de la Bellacasa

Elisabeth S. Clemens and, J. Cook

Alexander L. George, E. Miller, David Braybrooke et al.

A. delFavero, G. Barro, G. Vicari et al.

J. Linz

R. Dahl

T. Skocpol

T. Novotny

Charis M. Thompson

A. Gelman, Jennifer L. Hill, Aki Vehtari

Analytical Methods for Social Research presents texts on empirical and formal methods for the social sciences. Volumes in the series address both the theoretical underpinnings of analytical techniques as well as their application in social research. Some series volumes are broad in scope, cutting across a number of disciplines. Others focus mainly on methodological applications within specific fields such as political science, sociology, demography, and public health. The series serves a mix of students and researchers in the social sciences and statistics.

André Bächtiger, Jane J. Mansbridge, J. Dryzek et al.

Deliberative democracy has been the main game in contemporary political theory for two decades and has grown enormously in size and importance in political science and many other disciplines, and in political practice. The Oxford Handbook of Deliberative Democracy takes stock of deliberative democracy as a research field, as well as exploring and creating links with multiple disciplines and policy practice around the globe. It provides a concise history of deliberative ideals in political thought while also discussing their philosophical origins. It locates deliberation in a political system with different spaces, publics, and venues, including parliament and courts but also governance networks, protests, mini-publics, old and new media, and everyday talk. It documents the intersections of deliberative ideals with contemporary political theory, involving epistemology, representation, constitutionalism, justice, and multiculturalism. It explores the intersections of deliberative democracy with major research fields in the social sciences and law, including social and rational choice theory, communications, psychology, sociology, international relations, framing approaches, policy analysis, planning, democratization, and methodology. It engages with practical applications, mapping deliberation as a reform movement and as a device for conflict resolution. It documents the practice and study of deliberative democracy around the world, in Asia, Latin America, Africa, Europe, and global governance. And it provides reflections on the field by pioneering thinkers.

M. Witt

De-globalization, now a distinct possibility, would induce a significant qualitative shift in strategies, structures, and behaviors observable in international business (IB). Coming to terms with this qualitative shift would require IB research to develop a much deeper integration of politics, the key driver of de-globalization. To support such integration, this paper introduces two relevant theories of (de-)globalization from political science, liberalism and realism. Both predict de-globalization under current conditions but lead to different expectations about the future world economy: liberalism suggests a patchwork of economic linkages, while realism predicts the emergence of economic blocs around major countries. This paper discusses the resulting opportunities in three areas of IB research: political strategies and roles of multinational enterprises (MNEs), global value chains, and the role of the national context. For political strategies and roles, there is a need to explore how regular business activities and deliberate political agency of MNEs affect the political sustainability of globalization. For value chains, questions include their future reach and specialization, changes in organizational forms, and the impact of political considerations on location decisions. Research opportunities on national contexts relate to their ability to sustain globalization and their connection with economic and military power.

H. Gintis

Game theory is central to understanding human behavior and relevant to all of the behavioral sciences—from biology and economics, to anthropology and political science. However, as The Bounds of Reason demonstrates, game theory alone cannot fully explain human behavior and should instead complement other key concepts championed by the behavioral disciplines. Herbert Gintis shows that just as game theory without broader social theory is merely technical bravado, so social theory without game theory is a handicapped enterprise. This edition has been thoroughly revised and updated. Reinvigorating game theory, The Bounds of Reason offers innovative thinking for the behavioral sciences.

Byunghwee Lee, Sangyeon Kim, Filippo Menczer et al.

Due to the correlational structure in our traits such as identities, cultures, and political attitudes, seemingly innocuous preferences like following a band or using a specific slang can reveal private traits. This possibility, especially when combined with massive, public social data and advanced computational methods, poses a fundamental privacy risk. As our data exposure online and the rapid advancement of AI are increasing the risk of misuse, it is critical to understand the capacity of large language models (LLMs) to exploit such potential. Here, using online discussions on DebateOrg and Reddit, we show that LLMs can reliably infer hidden political alignment, significantly outperforming traditional machine learning models. Prediction accuracy further improves as we aggregate multiple text-level inferences into a user-level prediction, and as we use more politics-adjacent domains. We demonstrate that LLMs leverage words that are highly predictive of political alignment while not being explicitly political. Our findings underscore the capacity and risks of LLMs for exploiting socio-cultural correlates.

Sean Lux, Russell Crook, D. Woehr

Tabia Tanzin Prama, Chhandak Bagchi, Vishal Kalakonnavar et al.

This study examines whether German X users would see politically balanced news feeds if they followed comparable leading politicians from each federal parliamentary party of Germany. We address this question using an algorithmic audit tool [1] and all publicly available posts published by 436 German politicians on X. We find that the default feed of X showed more content from far-right AfD than from other political parties. We analyze potential factors influencing feed content and the resulting political non-representativeness of X. Our findings suggest that engagement measures and unknown factors related to party affiliation contribute to the overrepresentation of extremes of the German political party spectrum in the default algorithmic feed of X.

Aishwarya Bandaru, Fabian Bindley, Trevor Bluth et al.

Large language models (LLMs) are increasingly used to simulate social behaviour, yet their political biases and interaction dynamics in debates remain underexplored. We investigate how LLM type and agent gender attributes influence political bias using a structured multi-agent debate framework, by engaging Neutral, Republican, and Democrat American LLM agents in debates on politically sensitive topics. We systematically vary the underlying LLMs, agent genders, and debate formats to examine how model provenance and agent personas influence political bias and attitudes throughout debates. We find that Neutral agents consistently align with Democrats, while Republicans shift closer to the Neutral; gender influences agent attitudes, with agents adapting their opinions when aware of other agents' genders; and contrary to prior research, agents with shared political affiliations can form echo chambers, exhibiting the expected intensification of attitudes as debates progress.