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101.
《The Journal of Academic Librarianship》2022,48(3):102517
In the spring of 2021, Thomas Tredway Library at Augustana College undertook an audit of the library's print book collection to determine if there were gaps in representation of the voices of authors of differing races/ethnicities; genders; or sexual orientations. With the results of this audit, Augustana College librarians now have a better understanding of which voices and perspectives are missing and/or underrepresented in the print collection. This article documents the audit methodology; shares the results; and provides suggestions and a toolkit for other libraries to use in audits of their own. 相似文献
102.
[目的/意义]新冠肺炎疫情期间虚假健康信息泛滥,参与虚假健康信息治理是高校图书馆保障公众信息需求、提供健康信息服务的重要手段。[方法/过程]运用网络调研与文献调研的方法,选取国外15所高校图书馆开展调研,从虚假健康信息辨别方法提供、多元信息素养教育开展、可靠健康信息资源建设、疫情相关研究支撑提供、疫情记忆档案库构建实施5个方面归纳国外高校图书馆的治理举措。[结果/结论]国内高校图书馆可以从重视和参与虚假健康信息治理、构建协同治理虚假健康信息体系、创新虚假健康信息治理服务3个方面参与虚假健康信息治理。 相似文献
103.
当前,数字图书馆的信息环境已由信息不足转变为信息过载,其对应的服务模式也应由"人找信息"转变为"信息找人"。智能信息推荐服务的应用有助于应对新信息环境转变给数字图书馆带来的新挑战,但目前国内外对数字图书馆智能信息推荐服务满意度的影响机理尚缺乏深入研究。本文利用扎根理论方法,通过对访谈获取的原始资料进行编码分析,提炼出78个初始概念、24个基本范畴和6个主范畴。在此基础上,梳理范畴间的关系路径与作用机制,并构建了数字图书馆智能信息推荐服务满意度影响机理的理论模型。研究结果发现,在用户偏好的调节作用下,推荐系统质量、推荐信息质量、推荐服务质量和推荐形式共同对数字图书馆智能信息推荐服务满意度产生影响。本研究结果可为数字图书馆服务优化与良性发展提供有益参考,具有理论和实践意义。 相似文献
104.
《Journal of Informetrics》2022,16(2):101290
What science does, what science could do, and how to make science work? If we want to know the answers to these questions, we need to be able to uncover the mechanisms of science, going beyond metrics that are easily collectible and quantifiable. In this perspective piece, we link metrics to mechanisms by demonstrating how emerging metrics of science not only offer complementaries to existing ones, but also shed light on the hidden structure and mechanisms of science. Based on fundamental properties of science, we classify existing theories and findings into: hot and cold science referring to attention shift between scientific fields, fast and slow science reflecting productivity of scientists and teams, soft and hard science revealing reproducibility of scientific research. We suggest that interest about mechanisms of science since Derek J. de Solla Price, Robert K. Merton, Eugene Garfield, and many others complement the zeitgeist in pursuing new, complex metrics without understanding the underlying processes. We propose that understanding and modeling the mechanisms of science condition effective development and application of metrics. 相似文献
105.
《Journal of Informetrics》2022,16(3):101306
Research on the evaluation of the quality of academic papers is attracting more attention from scholars in scientometrics. However, most previous researches have assessed paper quality based on external indicators, such as citations, which failed to account for the content of the research. To that end, this paper proposed a new method for measuring a paper's originality. The method was based on knowledge units in semantic networks, focusing on the relationship and semantic similarity of different knowledge units. Connectivity and path similarity between different content elements were used in particular networks as indicators of originality. This study used papers published between 2014 and 2018 in three categories (i.e. Library & Information Science, Educational Psychology, and Carbon Nanotubes) and divided their content into three parts (i.e. research topics, research methods and research results). It was found that the originality in all categories increase each year. Furthermore, a comparison of our new method with previous models of citation network analysis and knowledge combination analysis showed that our new method is better than those previous methods when used in measuring originality. 相似文献
106.
[目的/意义] 对不同学术社交网络中不同学科用户的文献阅读差异进行分析,以了解在不同学术社交网络中的学科分布情况,掌握在不同学术社交网络中的学科研究热点。[方法/过程] 通过Altmetric. com获取24个学科的4 800篇热点文献,利用爬虫采集这些文献在Mendeley和ResearchGate的被阅读次数,再对文献进行内容分析,得到关键词,最后对比分析不同学术社交网络中文献阅读差异以及学科关注热点的一致性。[结果/结论] 不同学科的读者身份、读者所属领域具有显著差异,ResearchGate中的文献阅读次数普遍高于Mendeley,且社会科学等软学科的文献阅读相对优势更为明显,而物理学等硬学科的文献阅读相对优势较低。Mendeley和ResearchGate在地球与地理科学、化学和环境科学等学科中的关注热点具有较高的一致性,而物理学等部分学科中的关注热点表现出较低的一致性。 相似文献
107.
[目的/意义]从任务情境视角阐明青年人网络健康信息资源选择的群体差异,为政府、图书馆以及医疗机构等健康信息服务部门提升健康信息服务提供参考。[方法/过程]采用问卷调查与访谈法,以青年人为研究对象,从任务情境、健康信息平台、群体差异的角度出发,对群体差异对网络健康信息资源选择的影响进行相关性分析。[结果/结论]任务情境会对网络健康信息资源的选择产生影响,在不同健康信息平台下的影响具有差异;任务情境下网络健康信息资源选择的群体差异显著,在不同健康信息平台下的差异性不同。 相似文献
108.
[目的/意义]科研社交网络与大众社交网络一样存在信息过载问题,利用推荐系统向科研人员推送个性化信息是解决该问题的重要手段。通过与国外主流科研社交网络相比较,找出我国科研社交网络的推荐系统存在的问题,进而寻求解决之道。[方法/过程]从推荐项目、推荐策略、冷启动方案、用户偏好学习4个方面,对科研之友、学者网、ResearchGate、Academia这4个科研社交网络的推荐系统进行对比。[结果/结论]我国科研社交网络的推荐系统在上述4个方面都与国外同行存在明显的差距,存在推荐项目较少、推荐策略单一、冷启动效果差、用户偏好学习能力弱等问题。针对这些问题,提出改进建议。 相似文献
109.
When public events occur, users often generate a huge number of microblog entries and their online interactions with one another. Forwarding and commenting on posts contribute to the huge networks of topic and sentiment communication. This study constructs the topic and sentiment propagation maps of microblogging in the context of public events to visually explore the patterns of topic and sentiment propagation among stakeholders across different phases. To quantify the influence of topic and sentiment propagation, four indicators of “topic out-degree,” “topic variation degree,” “sentiment out-degree,” and “sentiment deviation degree” are proposed. We chose the child abuse case in the Beijing Red-Yellow-Blue (RYB) Kindergarten for our study. The positions of various stakeholders in the propagation paths and the relationship among stakeholders were revealed. Results indicate that the government and mainstream media have the greatest influence in terms of topic and sentiment propagation. Moreover, topic propagation was the most influential in the recession phase and the same can be said with sentiment propagation in the spreading phase. The findings can help the emergency management departments gain a better understanding of the propagation patterns of topics and emotions and the role of stakeholders in such phenomena to improve their emergency response ability. 相似文献
110.
《Journal of Informetrics》2023,17(3):101422
Several studies have reported on metrics for measuring the influence of scientific topics from different perspectives; however, current ranking methods ignore the reinforcing effect of other academic entities on topic influence. In this paper, we developed an effective topic ranking model, 4EFRRank, by modeling the influence transfer mechanism among all academic entities in a complex academic network using a four-layer network design that incorporates the strengthening effect of multiple entities on topic influence. The PageRank algorithm is utilized to calculate the initial influence of topics, papers, authors, and journals in a homogeneous network, whereas the HITS algorithm is utilized to express the mutual reinforcement between topics, papers, authors, and journals in a heterogeneous network, iteratively calculating the final topic influence value. Based on a specific interdisciplinary domain, social media data, we applied the 4ERRank model to the 19,527 topics included in the criteria. The experimental results demonstrate that the 4ERRank model can successfully synthesize the performance of classic co-word metrics and effectively reflect high citation topics. This study enriches the methodology for assessing topic impact and contributes to the development of future topic-based retrieval and prediction tasks. 相似文献