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语言是科学交流的载体,科学交流的语言分布反映了全球科技话语权的格局,本文基于科学推文视角揭示了非正式科学交流中的语言分布,并与基于科技文献的正式科学交流语言分布做了对比分析。研究发现:①科学推文语言集中分布在英语(91%)、日语(24%)和西班牙语(17%),而科技文献语言集中分布在英语(942%)、中文(43%)和土耳其语(04%);②科学推文和科技文献的语言分布均存在学科差异,体现出不同语言作者对特定学科关注度的不同;③除了沙特阿拉伯之外,世界各国即使母语不是英语,均以英语科学推文占主导地位,母语科学推文屈居第二;④英语、德语、日语、法语等语种的科技文献获得科学推文最多,而科技文献量和质量名列前茅的中文和土耳其语文献获得的科学推文很少。结果表明,英语俨然已经成为非正式科学交流中的通用语,提高中文在科学交流中的国际影响力任重道远。图3。表3。参考文献15。  相似文献   
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This study is a social media analysis on the use of Twitter at Historically Black Colleges and University (HBCU) libraries. While information science researchers have begun examining how libraries use social media, the vast majority of these studies are situated at large flagship research-intensive universities. Additionally, there currently exist deficiencies in research on social media deployment at HBCU libraries. We leverage, the IBM Watson's analytic engine, to systemically examine over 23,000, tweets over an eighteen-month period, around a set of objective measures including propagation of retweets and sentiment to assess follower engagement. The analysis found little evidence of follower engagement with library generated content. However, we observed a substantial volume of library tweets coalesced around institutional boosterism, rather than library related phenomena. This non-library related content represented the vast majority of retweets, but paradoxically was propagated by non-followers. Additionally, tweets relating to institutional boosterism produced the most positive sentiment within the data.  相似文献   
4.
This study utilizes public data mining to explore participation divides of all available K-12 institutional Twitter accounts in the U.S. (n?=?8275 accounts, n?=?9,216,853 tweets). Results indicated that U.S. schools used Twitter to broadcast information on a variety of topics in a unidirectional manner and that hashtags included a variety of intended purposes, including affinity spaces, education topics, emotive language, and events. Those schools in wealthier, more populated areas were more likely to use Twitter, with wealthy, suburban schools being the most likely to use it and poor, rural schools being the least likely. Furthermore, factors such as charter school status and urbanity influenced the content of school tweets on key issues, with schools in more populated areas tweeting more about coding and college than schools in less populated areas and charter schools tweeting more about college and the politicized educational issue of common core than non-charters. These results reveal participation differences between schools based upon demographics and provides a basis for conducting future large-scale work on publicly available artifacts, such as school tweets, that may be meaningfully used as education research data.  相似文献   
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This study employs digital methods in conjunction with traditional content and discourse analyses to explore how the US President Donald Trump conducts diplomacy on Twitter and how, if at all, diplomatic entities around the world engage in diplomatic exchanges with him. The results confirm speculations that Trump’s diplomatic communication on Twitter disrupts traditional codes of diplomatic language but show little evidence that new codes of diplomatic interactions on social media are being constructed, given that other diplomatic entities around the world mostly remain within the confines of traditional notions of diplomacy in (not) communicating with Trump on Twitter.  相似文献   
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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.  相似文献   
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介绍了Twitter(推特)免费竞争情报可视化工具,包括社会网络探索工具、微博信息聚合工具、文本分析工具和综合分析工具,结合实例阐述了如何利用这些工具获取竞争对手相关信息并进行可视化分析。旨在证明免费竞争情报可视化工具的应用潜力,并为中文微博开发类似产品提供借鉴。  相似文献   
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This study explores science communication on Twitter by investigating a sample of tweets referring to academic papers in five different scientific fields. The specifications of science communicators on Twitter, the characteristics of those who initiate actions (by tweeting), the extent and quality of reactions (retweeting), individual and group interactions, and the distribution of tweets across types of engagement in the process of science communication (i.e., dissemination, consultation, and evaluation) were explored. A broad array of actors is involved in the communication of science on Twitter, with individual citizens and individual researchers playing an important role. In principle, this is promising for creating direct interaction, which can be difficult through more traditional mass media. The vast majority of communication activities regarding academic papers is undigested dissemination with almost no sign of debate, contestation, or collective reflection. Another general finding of this study is that bot accounts play a major role in the science communication landscape on Twitter.  相似文献   
9.
ABSTRACT

This study examines the patterns of news engagement among news consumers with different political affiliation and cultural background. We use computational methods and data from Twitter in a cross-country comparison of engagement with six online news sources in Australia and South Korea. For our analysis, we used a subset of Twitter users who retweeted at least one political story during the period of collection, and for whom we were able to predict political affiliation using correspondence analysis and data on Twitter follower ties to politicians. We find that right-wing Australian retweeters are more intense in their news engagement, compared with their left-wing counterparts, whereas in South Korea it was the opposite. Australian right-wing political retweeters have more diverse information sources, while there was no difference in information diversity between the right and left in South Korea. We discuss how the political situation in South Korea at the time of data collection may have affected our analysis. We emphasise the methodological contributions of our research and its connection to on-going research into the behavioural foundations of ‘filter bubbles’.  相似文献   
10.
探析微博客在大学英语第二课堂教学中的交互应用   总被引:3,自引:0,他引:3  
信息技术的迅猛发展为教育提供了全新的教学应用模式和平台,其中Twitter是互联网Web2.0技术下最具代表性的平台。微博客与Twitter关系甚密,本文阐述了Twitter的特点和使用,列举出国内部分类Twitter平台。针对目前开展的大学英语第二课堂教学的不足,举例探讨在国内微博客平台下拓展大学英语第二课堂教学的交互活动,为大学英语第二课堂学习提供了全新的视角。  相似文献   
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