Hasil untuk "Political science (General)"

S. Lipset

Daniele Caramani

Jonathan Mellon, Christopher Prosser

A growing social science literature has used Twitter and Facebook to study political and social phenomena including for election forecasting and tracking political conversations. This research note uses a nationally representative probability sample of the British population to examine how Twitter and Facebook users differ from the general population in terms of demographics, political attitudes and political behaviour. We find that Twitter and Facebook users differ substantially from the general population on many politically relevant dimensions including vote choice, turnout, age, gender, and education. On average social media users are younger and better educated than non-users, and they are more liberal and pay more attention to politics. Despite paying more attention to politics, social media users are less likely to vote than non-users, but they are more likely to support the left leaning Labour Party when they do vote. However, we show that these apparent differences mostly arise due to the demographic composition of social media users. After controlling for age, gender, and education, no statistically significant differences arise between social media users and non-users on political attention, values or political behaviour.

José L. Duarte, Jarret T. Crawford, Charlotta Stern et al.

Michał Ledwosiński

Artykuł podejmuje problematykę kompetencji miękkich w kontekście przekładoznawstwa oraz ich znaczenia w pracy tłumacza, zwłaszcza w środowiskach zawodowych, kształtowanych przez nowe technologie. Analizie poddano relacje między kompetencjami twardymi a miękkimi oraz wpływ kompetencji interpersonalnych na efektywność pracy tłumaczeniowej w warunkach współczesnej współpracy zespołowej. Celem tekstu jest ukazanie, że rozwój technologiczny nie redukuje znaczenia umiejętności społecznych, lecz wręcz potęguje potrzebę ich obecności w zawodzie tłumacza.

Yueqing Liang, Liangwei Yang, Chen Wang et al.

Large Language Models (LLMs) have achieved significant advances in natural language processing, yet their potential for high-stake political decision-making remains largely unexplored. This paper addresses the gap by focusing on the application of LLMs to the United Nations (UN) decision-making process, where the stakes are particularly high and political decisions can have far-reaching consequences. We introduce a novel dataset comprising publicly available UN Security Council (UNSC) records from 1994 to 2024, including draft resolutions, voting records, and diplomatic speeches. Using this dataset, we propose the United Nations Benchmark (UNBench), the first comprehensive benchmark designed to evaluate LLMs across four interconnected political science tasks: co-penholder judgment, representative voting simulation, draft adoption prediction, and representative statement generation. These tasks span the three stages of the UN decision-making process--drafting, voting, and discussing--and aim to assess LLMs' ability to understand and simulate political dynamics. Our experimental analysis demonstrates the potential and challenges of applying LLMs in this domain, providing insights into their strengths and limitations in political science. This work contributes to the growing intersection of AI and political science, opening new avenues for research and practical applications in global governance. The UNBench Repository can be accessed at: https://github.com/yueqingliang1/UNBench.

Mauve Science Collaboration, Marcel Agueros, Don Dixon et al.

Mauve is a low-cost small satellite developed and operated by Blue Skies Space Ltd. The payload features a 13 cm telescope connected with a fibre that feeds into a UV-Vis spectrometer. The detector covers the 200-700 nm range in a single shot, obtaining low resolution spectra at R~20-65. Mauve has launched on 28th November 2025, reaching a 510 km Low-Earth Sun-synchronous orbit. The satellite will enable UV and visible observations of a variety of stellar objects in our Galaxy, filling the gaps in the ultraviolet space-based data. The researchers that have already joined the mission have defined the science themes, observational strategy and targets that Mauve will observe in the first year of operations. To date 10 science themes have been developed by the Mauve science collaboration for year 1, with observational strategies that include both long duration monitoring and short cadence snapshots. Here, we describe these themes and the science that Mauve will undertake in its first year of operations.

Irena Šutinienė

In this article, the focus is on the memory of repressions in the Kazakhstan Lithuanian diaspora, a large part of which consists of the descendants of Lithuanians who were subject to repression. Based on data from a survey of semi-structured interviews, the interpretations, evaluations, and practices for the memorialisation and commemoration of the memory of the repressions among the representatives of the diaspora are analysed. The connections of this memory with Kazakhstan’s dominant collective memory discourses and the Lithuanian narrative of the memory of repressions are discussed. The analysis reveals how discourses of the memory of the repressions in the country impact the memory of the descendant of the migrants.

Ван Хэюн, Д.В. Татаринов

The 21st century is the “era of international organizations”. the SCO is facing a realistic dilemma of “insufficient rule orientation”, “imperfect international law system” and “uneven level of rule of law among its members”. International law has its own structural dilemma of uncertainty, which lies in structure, language and doctrine, and overturns the existing international law system. Within the framework of the SCO, the traditional normal way can’t quickly and effectively establish legislation. The argumentative paradigm is rooted in the “intersubjectivity” of the international community, reshaping the effectiveness and source scope of international law, and using this paradigm can quickly and effectively build a set of international law system for SCO. This paradigm needs value guidance in line with universal rationality. The “community with a shared future for mankind” proposed by the Chairman Xi Jinping is expected to achieve the multi-dimensional goals of common prosperity, universal security, openness and win-win results, equality and inclusiveness, and joint construction, which can provide a value orientation for the development of SCO international law. This paper focuses on the SCO, tries to elaborate the problems faced by the SCO from the perspective of international law, and puts forward the research paradigm of improving the construction of SCO international law and the value orientation of “community with a shared future for mankind” on the basis of its system, in order to further clarify the direction of efforts to build the SCO legal system. Under the guidance of the theory of community with a shared future for mankind, the SCO’s practice of argumentative international law can improve the legal system construction within the organization on the basis of maintaining regional peace, and then contribute to the SCO’s participation in world governance and the promotion of the rise of Asia. Keywords: norms, indeterminacy, argumentalism, community with a shared future, SCO

David Barrett, Robert Falconer

Dongyun Han, Abdullah-Al-Raihan Nayeem, Jason Windett et al.

Politics is the set of activities related to strategic decision-making in groups. Political scientists study the strategic interactions between states, institutions, politicians, and citizens; they seek to understand the causes and consequences of those decisions and interactions. While some decisions might alleviate social problems, others might lead to disasters such as war and conflict. Data visualization approaches have the potential to assist political scientists in their studies by providing visual contexts. However, political researchers' perspectives on data visualization are unclear. This paper examines political scientists' perspectives on visualization and how they apply data visualization in their research. We discovered a growing trend in the use of graphs in political science journals. However, we also found a knowledge gap between the political science and visualization domains, such as effective visualization techniques for tasks and the use of color studied by visualization researchers. To reduce this gap, we survey visualization techniques applicable to the political scientists' research and report the visual analytics systems implemented for and evaluated by political scientists. At the end of this paper, we present an outline of future opportunities, including research topics and methodologies, for multidisciplinary research in political science and data analytics. Through this paper, we expect visualization researchers to get a better grasp of the political science domain, as well as broaden the possibility of future visualization approaches from a multidisciplinary perspective.

Kai-Robin Lange, Jonas Rieger, Niklas Benner et al.

From a monarchy to a democracy, to a dictatorship and back to a democracy -- the German political landscape has been constantly changing ever since the first German national state was formed in 1871. After World War II, the Federal Republic of Germany was formed in 1949. Since then every plenary session of the German Bundestag was logged and even has been digitized over the course of the last few years. We analyze these texts using a time series variant of the topic model LDA to investigate which events had a lasting effect on the political discourse and how the political topics changed over time. This allows us to detect changes in word frequency (and thus key discussion points) in political discourse.

Yu Wang

Interest is increasing among political scientists in leveraging the extensive information available in images. However, the challenge of interpreting these images lies in the need for specialized knowledge in computer vision and access to specialized hardware. As a result, image analysis has been limited to a relatively small group within the political science community. This landscape could potentially change thanks to the rise of large language models (LLMs). This paper aims to raise awareness of the feasibility of using Gemini for image content analysis. A retrospective analysis was conducted on a corpus of 688 images. Content reports were elicited from Gemini for each image and then manually evaluated by the authors. We find that Gemini is highly accurate in performing object detection, which is arguably the most common and fundamental task in image analysis for political scientists. Equally important, we show that it is easy to implement as the entire command consists of a single prompt in natural language; it is fast to run and should meet the time budget of most researchers; and it is free to use and does not require any specialized hardware. In addition, we illustrate how political scientists can leverage Gemini for other image understanding tasks, including face identification, sentiment analysis, and caption generation. Our findings suggest that Gemini and other similar LLMs have the potential to drastically stimulate and accelerate image research in political science and social sciences more broadly.

Kmar Bendana, Choukri Hmed, Antoine Perrier et al.

Petar Ivanov, Ivan Koychev, Momchil Hardalov et al.

Developing tools to automatically detect check-worthy claims in political debates and speeches can greatly help moderators of debates, journalists, and fact-checkers. While previous work on this problem has focused exclusively on the text modality, here we explore the utility of the audio modality as an additional input. We create a new multimodal dataset (text and audio in English) containing 48 hours of speech from past political debates in the USA. We then experimentally demonstrate that, in the case of multiple speakers, adding the audio modality yields sizable improvements over using the text modality alone; moreover, an audio-only model could outperform a text-only one for a single speaker. With the aim to enable future research, we make all our data and code publicly available at https://github.com/petar-iv/audio-checkworthiness-detection.

B. Trémolière, H. Djeriouat

Abstract The issue of climate change has become central in recent years as alarming data accumulate. It nevertheless has its critics, consisting of people denying climate change or minimizing the responsibility of human beings in the process. This skepticism partly derives from the complexity of the topic, encouraging people to rely on cognitive shortcuts to grasp the phenomenon. We question the role of analytic cognitive style, general and climate change-related knowledge, overconfidence, and political partisanship (plus additional expected confounding variables) in this process through a package of three studies (total N = 1031). In a first study, we showed that an intuitive mindset predicted greater skepticism relative to an analytical mindset while controlling for cognitive ability and the degree to which individuals value science, suggesting that reasoning cognitive style and trust are key parameters of climate change skepticism. A second study highlighted that climate science knowledge stands as strong and independent predictors of skepticism relative to analytic cognitive style. A final study revealed that analytic cognitive style and climate change knowledge generated less influence on climate change skepticism among conservatives than among liberals and moderates, suggesting that reliance on deliberative thinking and knowledgeability on climate science are not sufficient to mitigate climate change skepticism among conservatives. We discuss the critical interplay between cognitive processes and political partisanship in this ongoing debate.

Desinta Roichanun Nisa, Iradhad Taqwa Sihidi

The construction of an oil refinery in Tuban Regency, a National Strategic Project (PSN), has been rejected by the Tuban community. This study aims to explain the efforts made by PT Pertamina and the government in resolving the land acquisition conflict regarding the construction of an oil refinery in Jenu, Tuban Regency. The researchers used the descriptive qualitative method, collected data using interviews and documentation, and analyzed the collected, reduced and presented data. The results showed that the parties resolved the conflict through litigation, mediation, and negotiation. The process resulted in the provision of employment for locals, scholarships for outstanding students in five affected villages, development of fishermen's cooperatives in Mentoso Village, food and social assistance for farmers, opportunities for locals to continue working on the acquired land before the construction, and several Corporate Social Responsibility (CSR) programs around the premises. After the resolution, out of 1219 parcels, 1222 were acquired with a total land area of 814 hectares from 961 owners. This research only focuses on the agreements between the parties. Further studies are advised to observe PT Pertamina's and the community's consistency in adhering to the agreements.

Gordon Pennycook, Bence Bagó, J. McPhetres

Some theoretical models assume that a primary source of contention surrounding science belief is political and that partisan disagreement drives beliefs; other models focus on basic science knowledge and cognitive sophistication, arguing that they facilitate proscientific beliefs. To test these competing models, we identified a range of controversial issues subject to potential ideological disagreement and examined the roles of political ideology, science knowledge, and cognitive sophistication on science beliefs. Our results indicate that there was surprisingly little partisan disagreement on a wide range of contentious scientific issues. We also found weak evidence for identity-protective cognition (where cognitive sophistication exacerbates partisan disagreement); instead, cognitive sophistication (i.e., reasoning ability) was generally associated with proscience beliefs. In two studies focusing on anthropogenic climate change, we found that increased political motivations did not increase polarization among individuals who are higher in cognitive sophistication, which indicates that increased political motivations might not have as straightforward an impact on science beliefs as has been assumed in the literature. Finally, our findings indicate that basic science knowledge is the most consistent predictor of people's beliefs about science across a wide range of issues. These results suggest that educators and policymakers should focus on increasing basic science literacy and critical thinking rather than on the ideologies that purportedly divide people. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Monica Violeta Achim, Viorela Ligia Văidean, Sorin Nicolae Borlea et al.

Economic and financial crime is closely related to the changes and the development of societies. In this paper, we question whether the types of economic and financial crimes change as the society develops or not. For our purpose, we use the sample of 27 European Union member countries, for the 2005–2020 time period, which forms an unbalanced panel dataset. The main econometric method is represented by the Pooled OLS method for panel data. Our findings highlight that higher economic and sustainable development determines a reduction in the levels of corruption, shadow economy, and cybercrime. Additionally, we find that increased economic and sustainable development is related to higher levels of money laundering. These findings help governments to understand the way in which various types of economic and financial crimes unfold within different contexts of economic development, in order to implement specific policies for reducing the general level of crimes.

Eckehard Olbrich, Sven Banisch

The paper explores the notion of a reconfiguration of political space in the context of the rise of populism and its effects on the political system. We focus on Germany and the appearance of the new right wing party "Alternative for Germany" (AfD). Many scholars of politics discuss the rise of the new populism in Western Europe and the US with respect to a new political cleavage related to globalization, which is assumed to mainly affect the cultural dimension of the political space. As such, it might replace the older economic cleavage based on class divisions in defining the dominant dimension of political conflict. An explanation along these lines suggests a reconfiguration of the political space in the sense that (1) the main cleavage within the political space changes its direction from the economic axis towards the cultural axis, but (2) also the semantics of the cultural axis itself is changing towards globalization related topics. Using the electoral manifestos from the Manifesto project database, we empirically address this reconfiguration of the political space by comparing political spaces for Germany built using topic modeling with the spaces based on the content analysis of the Manifesto project and the corresponding categories of political goals. We find that both spaces have a similar structure and that the AfD appears on a new dimension. In order to characterize this new dimension we employ a novel technique, inter-issue consistency networks (IICN) that allow to analyze the evolution of the correlations between the political positions on different issues over several elections. We find that the new dimension introduced by the AfD can be related to the split off of a new "cultural right" issue bundle from the previously existing center-right bundle.