Martin to Brown

The rise of the modern Black Lives Matter movement can be traced back to two key events, the 2012 death of Trayvon Martin and the 2014 death of Michael Brown. Research routinely showed that mainstream media’s narrative choices marginalize and delegitimize protesters and their causes, a pattern known as the protest paradigm. This study provides a longitudinal examination of how the same mainstream media system varied in their coverage of similar events and the degree to which journalists challenged the predicted paradigms conceptualized in other academic work. A content analysis of national newspaper coverage revealed that news before the judicial rulings focused on protesters’ tactics (violence versus peaceful) and changed to the realm of ideas (grievances and demands) after the assailants were considered not guilty of wrongdoing. No progression was found in legitimizing coverage of protests between the two cases.     

心理距离视角下网络舆情传播意愿影响因素研究

[目的/意义]网络舆情传播意愿的形成是网民的一种心理活动，与心理距离密不可分。了解影响网络舆情传播意愿的主要因素，有助于监督管控部门更加卓有成效地对网络舆情进行预警和治理。[方法/过程]通过对心理距离理论的深层次剖析，对其构成进行阐述，并从时间距离、空间距离、社会距离、概率4个维度出发，做出系列理论假设，利用调查问卷法和最优尺度回归分析法，识别出主要影响因素及其重要程度。[结果/结论]最终归纳出7个影响网民改变其自身传播意愿的主要因素，即报道时间、家乡相关、向往地相关、生活相关、亲戚朋友发布、媒体官方发布、企业官方发布，从这7个影响因素出发监控舆情，可以帮助舆情管控部门更有针对性地掌控舆情的传播方向。     

No public value without a valued public

This study aims to enlighten the controversial discussion about the term public value in an innovative way. Instead of normative pronouncements and paternalistic posits, this study combines a theoretical, literature-based conception with an empirical quantitative approach. For this, the key term, public value, is split into its constituent parts of customer value and citizen value and is transformed into measurable attributes. By means of a choice-based conjoint analysis on panel data for Germany and the United Kingdom, we explore which performance attributes of public service broadcasters are the most important. Based on the results, we create a conception of public value from the perspective of the license fee payers as the main stakeholder of public service broadcasters. Our findings may unlock existing potential to increase our understanding of what is meant by the term public value.     

Assessing library topics using sentiment analysis in R: a discussion and code sample

Abstract

This article discusses the use of R programing language for executing a sentiment analysis of tweets pertaining to library topics. This discussion is situated within the literature of marketing and management sciences, which is employing methods of machine learning and business intelligence to make informed decision-making, and library administration, which has expressed great interest in social media engagement within its literature but has yet to adopt these types of analysis. Presented in this article is a sample code with instructions on how users may execute it within R to retrieve and analyze tweets relevant to library services. Two examples created using the code (analysis of top librarians’ tweets and analysis of posts about major book publishers) are used to demonstrate the functionality of the code. The code presented in this article may be used by libraries to analyze tweets about their library and library-related topics, which, in turn, may inform management and marketing design.     

基于用户兴趣度量的知识发现服务精准推荐

[目的/意义]针对当前知识发现服务中存在的个性化程度不高和推荐效果不佳等问题，提出一种基于用户兴趣度量和内容分析的推荐算法。[方法/过程]文章通过特征词分布、LDA主题分布、引文结构网络三个维度构建学术资源模型，并通过对用户行为的度量，计算用户对其浏览学术资源的兴趣度，结合学术资源模型构建用户兴趣模型。将用户兴趣模型与学术资源模型匹配，计算其相似度，得到用户对每条学术资源的兴趣值，最后将兴趣值最高的TOP-N学术资源推荐给用户。[结果/结论]通过实验检验算法的有效性和推荐准确率，结果显示，本文从实时动态度量兴趣的角度，提出的推荐算法能较好地预测用户兴趣，推荐效果显著，为实现发现服务精准推荐提供思路。     

提高科技期刊影响因子的途径探讨

分析科技期刊影响因子的主要影响因素,探讨提高科技期刊影响因子的途径.     

预印本平台数据开放共享政策的内容构成与特点剖析

[目的 /意义]开放科学环境下,探究预印本平台的数据开放共享政策有助于保障科研利益相关者的数据质量,推动研究数据更加开放、共享、安全与透明。[方法 /过程]基于研究团队跟踪的125个预印本平台中共63份数据开放共享政策文本,利用网络调查与文本分析的方法进行内容挖掘与特点剖析。[结果 /结论 ]通过分析得出预印本平台的数据开放共享政策在数据创建、数据存储、数据发布、数据访问、数据重用5个阶段的主要特征,为更多预印本平台在未来制定完备的数据开放共享政策提供切入点与参考思路。     

大数据时代信息分析的关键问题、挑战与对策

[目的/意义] 信息分析是情报研究的核心环节,大数据时代为信息分析提供了更多的信息资源保障和技术支持,促使信息分析产生重大的革新。[方法/过程] 通过网络调查与文献资料收集,对国内外信息分析研究现状进行分析,总结当前大数据信息分析领域存在的5个关键问题,提出大数据时代信息分析的4个主要挑战。[结果/结论] 针对大数据环境下信息分析存在的问题和挑战,提出5方面的对策建议,宏观上对大数据时代的信息分析进行系统地梳理,从顶层设计的角度统领大数据时代的信息分析。     

Planning for the Budget-ocalypse: The Evolution of a Serials/ER Cancellation Methodology

The University of North Texas (UNT) Libraries are funded almost entirely by undergraduate student use fees. As the undergraduate enrollment has plateaued in recent years, the libraries have not been able to keep up with rising costs, resulting in a series of cuts to the materials budget totaling around $3.25 million. While some of these cuts took the form of reductions in firm orders and dissolution of approval plans, for the past three years the bulk has come from cancellations of serials and electronic resources. With each year’s cuts, the UNT Collection Development department has been forced to modify and refine their deselection process. This article will show the development of UNT’s strategy for determining cancellations using a variety of methods (overlap analysis, usage statistics, faculty input) and tools (EBSCO Usage Consolidation, Serials Solutions 360).     

基于弱共现和突发监测的情报学学科研究主题及交叉性分析

[目的/意义]运用弱共现和突发监测两种研究方法,在微观层面对情报学学科的研究主题及其交叉性进行分析,以期揭示与科交叉规律,促进学科交叉研究。[方法/过程]获取情报学学科科研论文的高频主题词,在此基础上生成高频词共现矩阵,并进一步生成弱共现网络,对弱共现网络呈现出的主题及交叉性进行分析。同时,对高频主题词进行突发监测。[结果/结论]研究结果显示,在高频词强共现网络中不突出的研究主题会在高频词弱共现网络凸显出来,这些研究主题可能是当期的研究重点,也可能是将来的研究重点和热点;主题之间弱关系被定义为4类,体现了情报学学科微观层面的交叉性;突发探测结果在研究时间段内显示的研究热点趋势和强共现网络的聚类结果具有一致性,在揭示具有学科交叉性的新研究主题时体现出敏感性、突出性和动态性优势。