The relative weight of character traits in political candidate evaluations: Warmth is more important than competence,leadership and integrity

Decades of research has found that voters’ electoral decisions to a significant degree are affected by character evaluations of candidates. Yet it remains unresolved which specific candidate traits voters find most important. In political science it is often argued that competence-related traits are most influential, whereas work in social psychology suggests that warmth-related traits are more influential. Here we test which character trait is the more influential in global candidate evaluations and vote choice using observational data from the ANES 1984–2008 and an original experiment conducted on a representative sample of English partisan respondents. Across the two studies we find that warmth is more influential than competence, leadership and integrity. Importantly, results hold across a wide range of alternative specifications and robustness analyses. We conclude by discussing theoretical and practical implications of the results.     

EU Simulations and Engagement: Motivating Greater Interest in European Union Politics

While the effects of simulation-based courses on the knowledge of participating students may be marginal in relation to standard lecture and discussion-based courses, this article argues that the greatest leverage is gained by increasing participating students’ level of interest in the subject of study and in politics more broadly. Participants tend to become increasingly absorbed in their roles and in the politics of the institutions at the center of the simulation. To better consider this possibility, we conducted a survey of students participating in the 2015 Mid-Atlantic European Union Simulation and of appropriate control populations. The survey results indeed suggest that, much more than simply acquiring knowledge about the EU, the simulation experience serves to generate more robust interest in the subject of study.     

论闭路电视监控系统信息资料在侦查中的运用

近年来,随着我国经济的飞速发展以及人民群众防范意识的不断提高,闭路电视监控系统越来越普及,并得到了广泛运用。为了使闭路电视监控系统信息资料能够更好地运用到侦查破案中去,文章从闭路电视监控系统信息资料概述、信息资料在侦查破案中的运用、如何提高信息资料的使用效率以及使用中应注意的问题四个方面进行了论述,并提出了运用闭路电视监控系统信息资料的新理念、新方法。     

数字图书馆版权问题解读：资源·传播·服务

随着互联网延伸广度和深度的不断发展,数字图书馆版权纠纷案件日益增多。文献数字化、数据库建设、网络传播、网络信息链接、下载、检索等各方面都涉及到版权问题。这些问题可以归结到三个方面：资源建设中的版权问题、信息传播中的版权问题和信息服务中的版权问题。我们应加强版权适度保护,推行公益性图书馆网络传播豁免权,健全著作权集体管理制度,完善相关法律规范。     

Development and Consequences of Referendum Campaigns in Switzerland, 1981-1999

Since the early 1990s, new forms of referendum campaigns have emerged in the Swiss political arena. In this paper, we examine how referendum campaigns have transformed in Switzerland, focusing on a number of features: their intensity, duration and inclusiveness (i.e., the variety of actors involved). These features are assumed to change in the long run in response to societal changes and in the short run as a function of variations in elite support. We further argue that public knowledge of ballot issues depends on the characteristics of campaigns. To formally test our hypotheses, we draw on advertisement campaigns in six major Swiss newspapers in the four weeks preceding each ballot from 1981 to 1999 and develop a structural equation model. We indeed find that the duration of referendum campaigns has increased over time, while their inclusiveness has decreased. Most importantly, we find that pub­lic knowledge is strongly related to the characteristics of campaigns.     

社会中的马来西亚国家:意象与实践

本文旨在以第13届国会选举之后马来西亚政治、经济、社会诸领域的状况为主要依据,对作为意象的马来西亚国家和作为实践的马来西亚国家进行考察,进而展开以下两方面的论证:(1)马来西亚国家各组成部分的实践过程如何形塑着马来西亚国家的主导原则与主导功能;(2)马来西亚国家建构与政治制度化的不足及其出路。     

从泰国军人干政看发展中国家政治制度危机

军事政变不仅是一种军事行动,更是一种政治行动.本文试图通过对泰国军事政变的分析,探讨在发展中国家军人干政的原理.本文认为,政变的发生取决于一个国家的社会结构因素和政治制度因素,其中政治参与的无序化与领导人退出机制的不完善是引发军事政变的最重要原因.虽然军人干政在历史上曾经起过积极作用,但在现代社会,军人干政已经不适应甚至危害民主政治的发展.为解决这个问题,发展中国家应该从调整社会结构、扩大政治参与和提升政治制度化水平等三个方面持续地付出努力.     

Political attitude estimation through Facebook like: a South Korean case study

Recently numerous studies are conducted to estimate the human personality from the online social activities. This paper develops a comprehensive model for political attitude estimation leveraging the Facebook Like information of the users. We designed a Facebook Crawler that efficiently collects data overcoming the difficulties in crawling Ajax enabled Facebook pages. We show that the category level selection can reduce the data analysis complexity utilizing the sparsity of the huge like-attitude matrix. In the Korean Facebook users’ context, only 28 criteria (3% of the total) can estimate the political polarity of the user with high accuracy (AUC of 0.82).