走出困境:网络淫秽色情之规制

互联网的快速发展加速了信息社会的实现,同时也导致网络淫秽色情信息的泛滥,不利于青少年健康成长.我们对网络淫秽色情的监管很被动,删除淫秽色情信息是没有用的,只有在服务器上进行封堵,才能真正有效及时控制.网络的原始结构并不适合管制的实施,但随着网络结构的精致化,将有利于网络规制.网络淫秽色情内容规制分为两种类型:分区管制和内容分级过滤.分区管制要求网络经营者采取措施阻隔青少年进入特定区域,内容分级过滤则赋予接收者阻断特定信息的权限.当前我国宜将淫秽色情信息进行界定,区分“淫秽”“色情”“低俗”的内涵,推动网络内容分级过滤制度的建设;同时,在法律上课予网站经营者在发布信息时采取隔绝措施的义务,在判断行为人所采取的某种隔绝措施是否足以构成法律上的免责事由时,必须考虑到当时的科技水平.     

Do Mission Statements Matter for Nonprofit Performance?

In this exploratory study, we examine whether organizational mission statement attributes make a difference to the performance of nonprofit performing arts organizations. We use text analysis to measure two semantic attributes—activity and commonality—of mission statements. We examine whether these attributes are associated with improved performance for the instrumental and expressive functions of nonprofit performing arts organizations. Our findings indicate that the mission statement attribute activity is associated with improved performance for both instrumental and expressive functions. Our analysis of nonfindings for the mission statement attribute commonality suggests that there is a need to develop and use content analysis tools tailored to nonprofit contexts.     

What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement: Twitter use during Gezi Park

As social movements relying on the weak ties found in social networks have spread around the world, researchers have taken several approaches to understanding how networks function in such instances as the Arab Spring. While social scientists have primarily relied on survey or content analysis methodology, network scientists have used social network analysis. This research combines content analysis with the automated techniques of network analysis to determine the roles played by those using Twitter to communicate during the Turkish Gezi Park uprising. Based on a network analysis of nearly 2.4 million tweets and a content analysis of a subset of 5126 of those tweets, we found that information sharing was by far the most common use of the tweets and retweets, while tweets that indicated leadership of the movement constituted a small percentage of the overall number of tweets. Using automated techniques, we experimented with coded variables from content analysis to compute the most discriminative tokens and to predict values for each variable using only textual information. We achieved 0.61 precision on identifying types of shared information. Our results on detecting the position of user in the protest and purpose of the tweets achieved 0.42 and 0.33 precision, respectively, illustrating the necessity of user cooperation and the shortcomings of automated techniques. Based on annotated values of user tweets, we computed similarities between users considering their information production and consumption. User similarities are used to compute clusters of individuals with similar behaviors, and we interpreted average activities for those groups.     

Birds of a feather petition together? Characterizing e-petitioning through the lens of platform data

E-petitioning platforms are increasingly popular in Western democracies and considered by some lawmakers and scholars to enhance citizen participation in political decision-making. In addition to social media and other channels for informal political communication, online petitioning is regarded as both a useful instrument to afford citizens a more important role in the political process and allow them to express support for issues which they find relevant. Building on existing pre-internet systems, e-petitioning websites are increasingly implemented to make it easier and faster to set up and sign petitions. However, little attention has so far been given to the relationship between different styles of usage and the causes supported by different groups of users. The functional difference between signing paper-based petitions vs. doing so online is especially notable with regard to users who sign large numbers of petitions. To characterize this relationship, we examine the intensity of user participation in the German Bundestag’s online petitioning platform through the lens of platform data collected over a period of five years, and conduct an analysis of highly active users and their political preferences. We find that users who sign just a single petition favor different policy areas than those who sign many petitions on a variety of issues. We conclude our analysis with observations on the potential of behavioral data for assessing the dynamics of online participation, and suggest that quantity (the number of signed petitions) and quality (favored policy areas) need more systematic joint assessment.     

Managing Serials in an Institutional Repository: An Interview With Kay Teel

ABSTRACT

In this interview from March 2017, Kay Teel, metadata librarian for serials and arts resources at the Stanford University Libraries, discusses the issues involved in providing access to serials through an institutional repository.     

西夏文《大乘无量寿经》考释

本文对俄罗斯科学院东方文献研究所收藏的西夏文《大乘无量寿经》残卷进行了翻译和校注,指出西夏本与现存两种汉译本均有差异,其所据藏文底本可能略有不同。     

关于精神生活史研究的若干问题

以满足人的精神需求为特征的培育、影响人的心理、意志、情绪和心境的各种活动的历史,即是人类的精神生活史。精神生活史的研究内容,应该包括信仰生活、文化生活、礼仪活动、娱乐生活、社会交往活动等五个方面。开展精神生活史研究,有着重要的现实意义和学术价值。     

大学生危机教育刍议

大学生危机教育,是一个由对"非典"的反思提出的崭新课题,目的在于引导学生直面自然和社会的危机,提高应对能力。作者阐述了大学生危机教育的内容,即危机意识教育、应对危机的知识与技能教育、心理健康教育、法律与纪律教育、社会责任感教育和民族精神教育,并提出了实施的基本途径。     

生命的困境与心灵的自由——庄子的人生哲学

庄子人生哲学的根本宗旨是实现对构成生命困境的必然性因素 (“命”)的超越 ,达到个体生命心灵的绝对自由 (“逍遥”)。庄子将人生所面临的生死、时势、情欲等困境概括为一种必然性范畴———“命”。而作为“逍遥哲学”的开创者 ,庄子找到了三种超越生命困境、实现心灵自由的途径 :安命、齐物、体道