{"results":[{"id":"ss_40b2324cde863db7670178f0151fae400a9a2b93","title":"Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation","authors":[{"name":"Gary King"},{"name":"James Honaker"},{"name":"Anne Joseph O'Connell"},{"name":"Kenneth F. Scheve"}],"abstract":"","source":"Semantic Scholar","year":2001,"language":"en","subjects":null,"doi":"10.1017/S0003055401000235","url":"https://www.semanticscholar.org/paper/40b2324cde863db7670178f0151fae400a9a2b93","is_open_access":true,"citations":1951,"published_at":"","score":80},{"id":"arxiv_2602.19100","title":"Political influence and corporate profits: a study of Hungarian firms","authors":[{"name":"Zoltan Bartha"}],"abstract":"This paper investigates the extent of political rent seeking in Hungary in the 2010s. Political capitalism--where powerful private interests influence public policy for private gain--creates opportunities for rent seeking that vary across sectors. The analysis is based on a theoretical model assuming rent seeking occurs in a three-stage process: changes in economic institutions granting regulatory privileges, which are enhanced by political-business networks; this leads to scarcities, and increased market power in certain markets; which then generates rents. To quantify this, the study evaluates Hungarian political capitalism by examining the impact of political decisions on firms' rents, analysing the profit trends of the 1,000 largest Hungarian firms (selected annually by net sales) and comparing their mean profit share (earnings before tax) across two periods: 2008-2012 and 2019-2023. A significant increase in a sector's mean profit share was assumed to indicate increased rent seeking. Using Welch's two-sample t-tests, three sectors were identified as potentially experiencing increased rent seeking: agriculture, construction, and financial and insurance activities. Quantitative findings include a 320% increase in mean agricultural profit share (70% in mean ROA), a more than fivefold increase in construction mean profit share (mean ROA from 3.3% to 10.1%), and a more than 6.5 times increase in financial sector mean profit share. Furthermore, a similar Czech analysis showed no significant increases in any sector's profit share, suggesting that the detected rises in Hungarian sectors are linked to domestic activities rather than external factors, which strengthens the findings.","source":"arXiv","year":2026,"language":"en","subjects":["econ.GN"],"doi":"10.1007/s10602-026-09505-7","url":"https://arxiv.org/abs/2602.19100","pdf_url":"https://arxiv.org/pdf/2602.19100","is_open_access":true,"published_at":"2026-02-22T09:06:54Z","score":70},{"id":"arxiv_2512.16152","title":"Pulsar Science with the SKA Observatory","authors":[{"name":"Bhal Chandra Joshi"},{"name":"Aris Karastergiou"},{"name":"Marta Burgay"},{"name":"The SKA pulsar science working group"}],"abstract":"The large instantaneous sensitivity, a wide frequency coverage and flexible observation modes with large number of beams in the sky are the main features of the SKA observatory's two telescopes, the SKA-Low and the SKA-Mid, which are located on two different continents. Owing to these capabilities, the SKAO telescopes are going to be a game-changer for radio astronomy in general and pulsar astronomy in particular. The eleven articles in this special issue on pulsar science with the SKA Observatory describe its impact on different areas of pulsar science. In this lead article, a brief description of the two telescopes highlighting the relevant features for pulsar science is presented followed by an overview of each accompanying article, exploring the inter-relationship between different pulsar science use cases.","source":"arXiv","year":2025,"language":"en","subjects":["astro-ph.HE","astro-ph.IM"],"url":"https://arxiv.org/abs/2512.16152","pdf_url":"https://arxiv.org/pdf/2512.16152","is_open_access":true,"published_at":"2025-12-18T04:16:35Z","score":69},{"id":"arxiv_2503.10649","title":"Measuring Political Preferences in AI Systems: An Integrative Approach","authors":[{"name":"David Rozado"}],"abstract":"Political biases in Large Language Model (LLM)-based artificial intelligence (AI) systems, such as OpenAI's ChatGPT or Google's Gemini, have been previously reported. While several prior studies have attempted to quantify these biases using political orientation tests, such approaches are limited by potential tests' calibration biases and constrained response formats that do not reflect real-world human-AI interactions. This study employs a multi-method approach to assess political bias in leading AI systems, integrating four complementary methodologies: (1) linguistic comparison of AI-generated text with the language used by Republican and Democratic U.S. Congress members, (2) analysis of political viewpoints embedded in AI-generated policy recommendations, (3) sentiment analysis of AI-generated text toward politically affiliated public figures, and (4) standardized political orientation testing. Results indicate a consistent left-leaning bias across most contemporary AI systems, with arguably varying degrees of intensity. However, this bias is not an inherent feature of LLMs; prior research demonstrates that fine-tuning with politically skewed data can realign these models across the ideological spectrum. The presence of systematic political bias in AI systems poses risks, including reduced viewpoint diversity, increased societal polarization, and the potential for public mistrust in AI technologies. To mitigate these risks, AI systems should be designed to prioritize factual accuracy while maintaining neutrality on most lawful normative issues. Furthermore, independent monitoring platforms are necessary to ensure transparency, accountability, and responsible AI development.","source":"arXiv","year":2025,"language":"en","subjects":["cs.CY","cs.AI","cs.CL"],"url":"https://arxiv.org/abs/2503.10649","pdf_url":"https://arxiv.org/pdf/2503.10649","is_open_access":true,"published_at":"2025-03-04T01:40:28Z","score":69},{"id":"arxiv_2507.01978","title":"Recommendation Algorithms on Social Media: Unseen Drivers of Political Opinion","authors":[{"name":"Waseq Billah"}],"abstract":"Social media broadly refers to digital platforms and applications that simulate social interactions online. This study investigates the impact of social media platforms and their algorithms on political interest among users. As social media usage continues to rise, platforms like Facebook and X (formerly Twitter) play increasingly pivotal roles in shaping political discourse. By employing statistical analyses on data collected from over 3,300 participants, this research identifies significant differences in how various social media platforms influence political interest. Findings reveal that moderate Facebook users demonstrate decreased political engagement, whereas even minimal engagement with X significantly boosts political interest. The study further identifies demographic variations, noting that males, older individuals, Black or African American users, those with higher incomes show greater political interest. The demographic analysis highlights that Republicans are particularly active on social media - potentially influencing their social media engagement patterns. However, the study acknowledges a crucial limitation - the lack of direct data regarding the content users are exposed to which is shaping their social media experiences. Future research should explore these influences and consider additional popular platforms to enhance the understanding of social media's political impact. Addressing these gaps can provide deeper insights into digital political mobilization, aiding policymakers, educators, and platform designers in fostering healthier democratic engagement.","source":"arXiv","year":2025,"language":"en","subjects":["cs.SI"],"url":"https://arxiv.org/abs/2507.01978","pdf_url":"https://arxiv.org/pdf/2507.01978","is_open_access":true,"published_at":"2025-06-25T02:44:34Z","score":69},{"id":"arxiv_2510.22904","title":"Modeling Political Discourse with Sentence-BERT and BERTopic","authors":[{"name":"Margarida Mendonca"},{"name":"Alvaro Figueira"}],"abstract":"Social media has reshaped political discourse, offering politicians a platform for direct engagement while reinforcing polarization and ideological divides. This study introduces a novel topic evolution framework that integrates BERTopic-based topic modeling with Moral Foundations Theory (MFT) to analyze the longevity and moral dimensions of political topics in Twitter activity during the 117th U.S. Congress. We propose a methodology for tracking dynamic topic shifts over time and measuring their association with moral values and quantifying topic persistence. Our findings reveal that while overarching themes remain stable, granular topics tend to dissolve rapidly, limiting their long-term influence. Moreover, moral foundations play a critical role in topic longevity, with Care and Loyalty dominating durable topics, while partisan differences manifest in distinct moral framing strategies. This work contributes to the field of social network analysis and computational political discourse by offering a scalable, interpretable approach to understanding moral-driven topic evolution on social media.","source":"arXiv","year":2025,"language":"en","subjects":["cs.SI","cs.CL","cs.CY"],"url":"https://arxiv.org/abs/2510.22904","pdf_url":"https://arxiv.org/pdf/2510.22904","is_open_access":true,"published_at":"2025-10-27T01:19:42Z","score":69},{"id":"ss_a4e0d0cbc40500f1520f1e506a66c99a91a6ce8a","title":"The nature and origins of political polarization over science","authors":[{"name":"Roderik Rekker"}],"abstract":"People have a tendency to disregard information that contradicts their partisan or ideological identity. This inclination can become especially striking when citizens reject notions that scientists would consider “facts” in the light of overwhelming scientific evidence and consensus. The resulting polarization over science has reached alarming levels in recent years. This theoretical review conceptualizes political polarization over science and argues that it is driven by two interrelated processes. Through psychological science rejection, people can implicitly disregard scientific facts that are inconsistent with their political identity. Alternatively, citizens can engage in ideological science rejection by adhering to a political ideology that explicitly contests science. This contestation can in turn be subdivided into four levels of generalization: An ideology can dispute either specific scientific claims, distinct research fields, science in general, or the entire political system and elite. By proposing this interdisciplinary framework, this article aims to integrate insights from various disciplines.","source":"Semantic Scholar","year":2021,"language":"en","subjects":["Medicine"],"doi":"10.1177/0963662521989193","url":"https://www.semanticscholar.org/paper/a4e0d0cbc40500f1520f1e506a66c99a91a6ce8a","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/0963662521989193","is_open_access":true,"citations":131,"published_at":"","score":68.93},{"id":"doaj_https://doi.org/10.60842/rass-pgpa.05.vol.4.n2.2024","title":"Le recyclage des coquillages fossiles dans l’espace sénégambien : histoire et archéologie ","authors":[{"name":"Michel Waly DIOUF "}],"abstract":"Cet article examine la réutilisation des coquillages fossiles et décrit en même temps les anomalies ou les déformations observées sur les individus. La démarche adoptée repose en effet sur une combinaison de plusieurs activités allant de la recherche documentaire à l’examen du mobilier coquillier, en passant par les enquêtes ethnographiques, la prospection et les fouilles archéologiques. Nos fouilles effectuées sur le site de Balloum, près du village de Moundé (basSaloum) ont mis au jour des spécimens coquilliers déformés ou réutilisés le plus souvent en des objets de parures ou d’ustensiles. Mots-clés : ,","source":"DOAJ","year":2024,"language":"","subjects":["Anthropology","Sociology (General)","Education","Political science"],"doi":"https://doi.org/10.60842/rass-pgpa.05.vol.4.n2.2024","url":"https://www.rass-pgpa.org/wp-content/uploads/2024/07/Texte-Complet-Vol4-N2-Bon-75-94.pdf","is_open_access":true,"published_at":"","score":68},{"id":"arxiv_2405.06097","title":"A trustless society? A political look at the blockchain vision","authors":[{"name":"Rainer Rehak"}],"abstract":"A lot of business and research effort currently deals with the so called decentralised ledger technology blockchain. Putting it to use carries the tempting promise to make the intermediaries of social interactions superfluous and furthermore keep secure track of all interactions. Currently intermediaries such as banks and notaries are necessary and must be trusted, which creates great dependencies, as the financial crisis of 2008 painfully demonstrated. Especially banks and notaries are said to become dispensable as a result of using the blockchain. But in real-world applications of the blockchain, the power of central actors does not dissolve, it only shifts to new, democratically illegitimate, uncontrolled or even uncontrollable power centers. As interesting as the blockchain technically is, it doesn't efficiently solve any real-world problem and is no substitute for traditional political processes or democratic regulation of power. Research efforts investigating the blockchain should be halted.","source":"arXiv","year":2024,"language":"en","subjects":["cs.CY","cs.DC","cs.ET"],"url":"https://arxiv.org/abs/2405.06097","pdf_url":"https://arxiv.org/pdf/2405.06097","is_open_access":true,"published_at":"2024-05-09T20:54:08Z","score":68},{"id":"arxiv_2412.06864","title":"Political-LLM: Large Language Models in Political Science","authors":[{"name":"Lincan Li"},{"name":"Jiaqi Li"},{"name":"Catherine Chen"},{"name":"Fred Gui"},{"name":"Hongjia Yang"},{"name":"Chenxiao Yu"},{"name":"Zhengguang Wang"},{"name":"Jianing Cai"},{"name":"Junlong Aaron Zhou"},{"name":"Bolin Shen"},{"name":"Alex Qian"},{"name":"Weixin Chen"},{"name":"Zhongkai Xue"},{"name":"Lichao Sun"},{"name":"Lifang He"},{"name":"Hanjie Chen"},{"name":"Kaize Ding"},{"name":"Zijian Du"},{"name":"Fangzhou Mu"},{"name":"Jiaxin Pei"},{"name":"Jieyu Zhao"},{"name":"Swabha Swayamdipta"},{"name":"Willie Neiswanger"},{"name":"Hua Wei"},{"name":"Xiyang Hu"},{"name":"Shixiang Zhu"},{"name":"Tianlong Chen"},{"name":"Yingzhou Lu"},{"name":"Yang Shi"},{"name":"Lianhui Qin"},{"name":"Tianfan Fu"},{"name":"Zhengzhong Tu"},{"name":"Yuzhe Yang"},{"name":"Jaemin Yoo"},{"name":"Jiaheng Zhang"},{"name":"Ryan Rossi"},{"name":"Liang Zhan"},{"name":"Liang Zhao"},{"name":"Emilio Ferrara"},{"name":"Yan Liu"},{"name":"Furong Huang"},{"name":"Xiangliang Zhang"},{"name":"Lawrence Rothenberg"},{"name":"Shuiwang Ji"},{"name":"Philip S. Yu"},{"name":"Yue Zhao"},{"name":"Yushun Dong"}],"abstract":"In recent years, large language models (LLMs) have been widely adopted in political science tasks such as election prediction, sentiment analysis, policy impact assessment, and misinformation detection. Meanwhile, the need to systematically understand how LLMs can further revolutionize the field also becomes urgent. In this work, we--a multidisciplinary team of researchers spanning computer science and political science--present the first principled framework termed Political-LLM to advance the comprehensive understanding of integrating LLMs into computational political science. Specifically, we first introduce a fundamental taxonomy classifying the existing explorations into two perspectives: political science and computational methodologies. In particular, from the political science perspective, we highlight the role of LLMs in automating predictive and generative tasks, simulating behavior dynamics, and improving causal inference through tools like counterfactual generation; from a computational perspective, we introduce advancements in data preparation, fine-tuning, and evaluation methods for LLMs that are tailored to political contexts. We identify key challenges and future directions, emphasizing the development of domain-specific datasets, addressing issues of bias and fairness, incorporating human expertise, and redefining evaluation criteria to align with the unique requirements of computational political science. Political-LLM seeks to serve as a guidebook for researchers to foster an informed, ethical, and impactful use of Artificial Intelligence in political science. Our online resource is available at: http://political-llm.org/.","source":"arXiv","year":2024,"language":"en","subjects":["cs.CL","cs.AI"],"url":"https://arxiv.org/abs/2412.06864","pdf_url":"https://arxiv.org/pdf/2412.06864","is_open_access":true,"published_at":"2024-12-09T08:47:50Z","score":68},{"id":"doaj_10.1515/soeu-2022-0051","title":"Hungary in the European Union – Cooperation, Peacock Dance and Autocracy","authors":[{"name":"Éltető Andrea"},{"name":"Szemlér Tamás"}],"abstract":"Hungary had been one of the frontrunners in the political and economic transition process in Central and Eastern Europe in the 1990s, and in 2004 it joined the European Union. Since 2010, Hungary has gradually become an autocratic regime, a process that has been facilitated by the political benefits of EU integration and money transfers. While the support of the Hungarian people for EU membership has remained high, tensions have increased between the Hungarian government and EU institutions. This article evaluates how the external shock of Russia’s war against Ukraine has shaken Hungary’s so far developed authoritarian equilibrium within the EU. The authors show how embedded the Hungarian autocracy has become and argue that although there have been some effects to the pillars of the authoritarian equilibrium, it has remained stable, and most probably will continue to do so, as long as the illiberal regime stays in power.","source":"DOAJ","year":2023,"language":"","subjects":["History (General) and history of Europe","Political science"],"doi":"10.1515/soeu-2022-0051","url":"https://doi.org/10.1515/soeu-2022-0051","is_open_access":true,"published_at":"","score":67},{"id":"arxiv_2304.08104","title":"GREX-PLUS Science Book","authors":[{"name":"GREX-PLUS Science Team"},{"name":" :"},{"name":"Akio K. Inoue"},{"name":"Yuichi Harikane"},{"name":"Takashi Moriya"},{"name":"Hideko Nomura"},{"name":"Shunsuke Baba"},{"name":"Yuka Fujii"},{"name":"Naoteru Gouda"},{"name":"Yasuhiro Hirahara"},{"name":"Yui Kawashima"},{"name":"Tadayuki Kodama"},{"name":"Yusei Koyama"},{"name":"Hiroyuki Kurokawa"},{"name":"Taro Matsuo"},{"name":"Yoshiki Matsuoka"},{"name":"Shuji Matsuura"},{"name":"Ken Mawatari"},{"name":"Toru Misawa"},{"name":"Kentaro Nagamine"},{"name":"Kimihiko Nakajima"},{"name":"Shota Notsu"},{"name":"Takafumi Ootsubo"},{"name":"Kazumasa Ohno"},{"name":"Hideo Sagawa"},{"name":"Takashi Shimonishi"},{"name":"Ken-ichi Tadaki"},{"name":"Michihiro Takami"},{"name":"Tsuyoshi Terai"},{"name":"Yoshiki Toba"},{"name":"Takuji Yamashita"},{"name":"Chikako Yasui"}],"abstract":"GREX-PLUS (Galaxy Reionization EXplorer and PLanetary Universe Spectrometer) is a mission candidate for a JAXA's strategic L-class mission to be launched in the 2030s. Its primary sciences are two-fold: galaxy formation and evolution and planetary system formation and evolution. The GREX-PLUS spacecraft will carry a 1.2 m primary mirror aperture telescope cooled down to 50 K. The two science instruments will be onboard: a wide-field camera in the 2-8 $μ$m wavelength band and a high resolution spectrometer with a wavelength resolution of 30,000 in the 10-18 $μ$m band. The GREX-PLUS wide-field camera aims to detect the first generation of galaxies at redshift $z\u003e15$. The GREX-PLUS high resolution spectrometer aims to identify the location of the water ``snow line'' in proto-planetary disks. Both instruments will provide unique data sets for a broad range of scientific topics including galaxy mass assembly, origin of supermassive blackholes, infrared background radiation, molecular spectroscopy in the interstellar medium, transit spectroscopy for exoplanet atmosphere, planetary atmosphere in the Solar system, and so on.","source":"arXiv","year":2023,"language":"en","subjects":["astro-ph.CO","astro-ph.EP","astro-ph.GA","astro-ph.IM","astro-ph.SR"],"url":"https://arxiv.org/abs/2304.08104","pdf_url":"https://arxiv.org/pdf/2304.08104","is_open_access":true,"published_at":"2023-04-17T09:29:57Z","score":67},{"id":"arxiv_2303.11399","title":"How Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice Based on Over 60 Replicated Studies","authors":[{"name":"Apoorva Lal"},{"name":"Mac Lockhart"},{"name":"Yiqing Xu"},{"name":"Ziwen Zu"}],"abstract":"Instrumental variable (IV) strategies are widely used in political science to establish causal relationships. However, the identifying assumptions required by an IV design are demanding, and it remains challenging for researchers to assess their validity. In this paper, we replicate 67 papers published in three top journals in political science during 2010-2022 and identify several troubling patterns. First, researchers often overestimate the strength of their IVs due to non-i.i.d. errors, such as a clustering structure. Second, the most commonly used t-test for the two-stage-least-squares (2SLS) estimates often severely underestimates uncertainty. Using more robust inferential methods, we find that around 19-30% of the 2SLS estimates in our sample are underpowered. Third, in the majority of the replicated studies, the 2SLS estimates are much larger than the ordinary-least-squares estimates, and their ratio is negatively correlated with the strength of the IVs in studies where the IVs are not experimentally generated, suggesting potential violations of unconfoundedness or the exclusion restriction. To help researchers avoid these pitfalls, we provide a checklist for better practice.","source":"arXiv","year":2023,"language":"en","subjects":["econ.EM","stat.ME"],"url":"https://arxiv.org/abs/2303.11399","pdf_url":"https://arxiv.org/pdf/2303.11399","is_open_access":true,"published_at":"2023-03-20T19:11:56Z","score":67},{"id":"ss_8a4d39692318634075d1d7bce3eab2683a60a160","title":"Reducing the Carbon Footprint of Academic Conferences by Online Participation: The Case of the 2020 Virtual European Consortium for Political Research General Conference","authors":[{"name":"S. Jäckle"}],"abstract":"ABSTRACT This article investigates the impact that the decision to switch an academic conference to an online event had on its carbon footprint. Using the example of the biggest European Political Science conference, the European Consortium for Political Research General Conference, it comprehensively estimates the amount of greenhouse gases produced by the virtual event and by the hypothetical case, if the event had taken place physically, including emissions from electricity usage, travel, heating, and catering. The carbon footprint of the virtual conference turned out to be between at least 97 and 200 times smaller than it would have been if the meeting had taken place in person. Hybrid conferences, particularly if those participants from far away join the event online, combined with the promotion of land-bound travel for those attending in person—even if this means longer travel times than flying—could be a feasible compromise to reduce emissions by almost 90%.","source":"Semantic Scholar","year":2021,"language":"en","subjects":["Political Science"],"doi":"10.1017/S1049096521000020","url":"https://www.semanticscholar.org/paper/8a4d39692318634075d1d7bce3eab2683a60a160","is_open_access":true,"citations":35,"published_at":"","score":66.05},{"id":"doaj_10.1590/0102-037052/116","title":"O FASCISMO LATENTE","authors":[{"name":"Gabriel Cohn"}],"abstract":"Resumo O artigo destaca a dificuldade de se definir “fascismo”. Mesmo assim, nota como foram elaboradas concepções genéricas de fascismo, a partir das quais, variados casos podem ser confrontados. Chama igualmente a atenção para a existência de uma dimensão institucional e uma dimensão ideológica no fascismo; a primeira tendo sido enfrentada, a segunda negligenciada. Ao se confrontar o Brasil com “fascismo clássico”, indica que aqui não teríamos a criação de algo novo, mas a explicitação de traços profundamente arraigados de nossa sociedade. Nesse sentido, é sugerido que entre nós, mais do que falar propriamente em fascismo, se poderia apontar para a existência de algo como um “fascismo latente”, sempre capaz de vir à tona e, portanto, especialmente preocupante.","source":"DOAJ","year":2022,"language":"","subjects":["Political science (General)","Sociology (General)"],"doi":"10.1590/0102-037052/116","url":"http://www.scielo.br/pdf/ln/n116/1807-0175-ln-116-37.pdf","pdf_url":"http://www.scielo.br/pdf/ln/n116/1807-0175-ln-116-37.pdf","is_open_access":true,"published_at":"","score":66},{"id":"arxiv_2209.11605","title":"The ESO Science Archive","authors":[{"name":"Martino Romaniello"},{"name":"the ESO Science Archive operations"},{"name":"development team"}],"abstract":"The ESO Science Archive is the collection and access point of the data generated at ESO's La Silla Paranal Observatory, both raw and processed. It is a major contributor to ESO's science output, being used in about 4 out of 10 refereed articles with ESO data. In this paper, which is presented on behalf of the operations and development teams, we review its contents, policies, us interfaces and impact.","source":"arXiv","year":2022,"language":"en","subjects":["astro-ph.IM"],"doi":"10.1117/12.2628253","url":"https://arxiv.org/abs/2209.11605","pdf_url":"https://arxiv.org/pdf/2209.11605","is_open_access":true,"published_at":"2022-09-23T14:18:48Z","score":66},{"id":"doaj_10.17573/cepar.2021.1.05","title":"The Psychosocial Impact of the Romanian Government Measures on the Population During the COVID-19 Pandemic","authors":[{"name":"Armenia Androniceanu"},{"name":"Doina-Mihaela Marton"}],"abstract":"\nThe Covid-19 pandemic generated a global crisis involving most countries in the world. State governments worldwide were forced to take appropriate measures impacting different fields. The Romanian government and other local public authorities developed special measures to curb the spread of the SARS-COV-2 virus in Romania in general and in Bucharest, the country’s capital. The purpose of our research was to identify the social and psychological impact of the governmental measures on the citizens of Bucharest. The research was conducted between 28 November and 25 December 2020, but refers to the measures taken by the government and local authorities from the onset of the Covid-19 pandemic\nto date. The sample, representative for Bucharest, included 421 citizens living in Bucharest, aged between 19 and 40 years. The data were collected using an online questionnaire. Other methods used to analyse the results and verify the hypothesis included the multiple regression model and some applications in Excel. The results confirmed that governmental measures had a strong social and psychological impact on citizens, changing their social behaviour and causing psychological disorders, such as depression and anxiety. Our research results can help the Romanian authorities avoid problems among the population and adapt their measures to better meet the population’s psychosocial needs in time of the Covid-19 pandemic crisis, which is far from over.\n","source":"DOAJ","year":2021,"language":"","subjects":["Political institutions and public administration (General)"],"doi":"10.17573/cepar.2021.1.05","url":"https://journals.uni-lj.si/CEPAR/article/view/20585","is_open_access":true,"published_at":"","score":65},{"id":"doaj_10.31338/1641-2478pe.1.21.4","title":"Modelling the trends of the healthcare funding in the EU countries","authors":[{"name":"Nadiya Dubrovina"},{"name":"Russell Gerrard"},{"name":"Stanislav Filip"},{"name":"Vira Dubrovina"}],"abstract":"Healthcare is one of the most important sectors of the public economy in the EU countries. An important task in the analysis and prediction of the values for healthcare funding is the development and application of quantitative models based on different mathematical methods. Three of the most popular indicators used for the macroeconomic description of the funding of healthcare are: (1) total government expenditure on health as a percentage of GDP; (2) total government expenditure on health as a percentage of total general government expenditure; and (3) total government expenditure on health per capita. The aim of this research is to study the trends for the main indicators of healthcare funding on the macroeconomic level and to develop models based on time series methods for analysis of the features of the trends and the prediction of the values for the next time period.\n\n","source":"DOAJ","year":2021,"language":"","subjects":["Political science","Social Sciences"],"doi":"10.31338/1641-2478pe.1.21.4","url":"http://przegladeuropejski.com.pl/gicid/pdf/01.3001.0014.8362","pdf_url":"http://przegladeuropejski.com.pl/gicid/pdf/01.3001.0014.8362","is_open_access":true,"published_at":"","score":65},{"id":"doaj_10.15688/jvolsu4.2021.4.9","title":"Crafts by Nomads of the Ural and Turgai Regions at the Beginning of the 20th Century","authors":[{"name":"Marat Kappasov"}],"abstract":"         Introduction. The article, based on the “Materials on the Kyrgyz (Kazakh) Land Use Collected and Developed by the Statistical Parties of the Turgai-Ural Resettlement Region”, examines the crafts of the nomads of the Lbischensky, Uralsky, Turgai, Irgiz, Temir uyezds in the early 20th century. Temir, Lbishchensky and Ural uyezds belonged to the Ural region, Turgai and Irgiz uyezds to the Turgai region.  Methods and materials. Using the mathematical method, the method of comparative analysis and content analysis, the author shows how much income per person came from crafts in the studied uyezds and proves that crafts were only additional industries and could not compete with nomadic cattle breeding. The article examines the crafts that brought the greatest income. Farmhands, transportation, groundhog hunting, fishing, etc., were well-known crafts; the Muslim spiritual cult and its servants was an unusual craft.  Analysis. Our article shows that the studied uyezds had their own craft specializations. For example, a significant number of nomads in Lbischensky uyezd were engaged in transportation, in Turgai uyezd in hunting groundhogs, in Irgiz uyezd in hunting and fishing.  Results. At the end of the article, the author concludes that the majority of nomads were primarily engaged in crafts as farmhands due to their poverty.","source":"DOAJ","year":2021,"language":"","subjects":["History of Russia. Soviet Union. Former Soviet Republics","International relations"],"doi":"10.15688/jvolsu4.2021.4.9","url":"https://hfrir.jvolsu.com/index.php/en/component/attachments/download/2592","is_open_access":true,"published_at":"","score":65},{"id":"ss_acff518b945f15b1a687ac313b25048c50fed044","title":"Deep Learning for Political Science","authors":[{"name":"Kakia Chatsiou"},{"name":"Slava Jankin"}],"abstract":"Political science, and social science in general, have traditionally been using computational methods to study areas such as voting behavior, policy making, international conflict, and international development. More recently, increasingly available quantities of data are being combined with improved algorithms and affordable computational resources to predict, learn, and discover new insights from data that is large in volume and variety. New developments in the areas of machine learning, deep learning, natural language processing (NLP), and, more generally, artificial intelligence (AI) are opening up new opportunities for testing theories and evaluating the impact of interventions and programs in a more dynamic and effective way. Applications using large volumes of structured and unstructured data are becoming common in government and industry, and increasingly also in social science research. This chapter offers an introduction to such methods drawing examples from political science. Focusing on the areas where the strengths of the methods coincide with challenges in these fields, the chapter first presents an introduction to AI and its core technology - machine learning, with its rapidly developing subfield of deep learning. The discussion of deep neural networks is illustrated with the NLP tasks that are relevant to political science. The latest advances in deep learning methods for NLP are also reviewed, together with their potential for improving information extraction and pattern recognition from political science texts.","source":"Semantic Scholar","year":2020,"language":"en","subjects":["Computer Science"],"doi":"10.4135/9781526486387.n58","url":"https://www.semanticscholar.org/paper/acff518b945f15b1a687ac313b25048c50fed044","pdf_url":"http://repository.essex.ac.uk/27783/1/2005.06540v1.pdf","is_open_access":true,"citations":17,"published_at":"","score":64.50999999999999}],"total":17046614,"page":1,"page_size":20,"sources":["DOAJ","CrossRef","arXiv","Semantic Scholar"],"query":"Political science (General)"}