排序方式： 共有158条查询结果，搜索用时 107 毫秒
91.
Leon Derczynski Diana Maynard Giuseppe Rizzo Marieke van Erp Genevieve Gorrell Raphaël Troncy Johann Petrak Kalina Bontcheva 《Information processing & management》2015
Applying natural language processing for mining and intelligent information access to tweets (a form of microblog) is a challenging, emerging research area. Unlike carefully authored news text and other longer content, tweets pose a number of new challenges, due to their short, noisy, context-dependent, and dynamic nature. Information extraction from tweets is typically performed in a pipeline, comprising consecutive stages of language identification, tokenisation, part-of-speech tagging, named entity recognition and entity disambiguation (e.g. with respect to DBpedia). In this work, we describe a new Twitter entity disambiguation dataset, and conduct an empirical analysis of named entity recognition and disambiguation, investigating how robust a number of state-of-the-art systems are on such noisy texts, what the main sources of error are, and which problems should be further investigated to improve the state of the art. 相似文献
92.
Brian L. Ott 《Critical Studies in Media Communication》2017,34(1):59-68
This essay explores the changing character of public discourse in the Age of Twitter. Adopting the perspective of media ecology, the essay highlights how Twitter privileges discourse that is simple, impulsive, and uncivil. This effect is demonstrated through a case study of Donald J. Trump's Twitter feed. The essay concludes with a brief reflection on the end times: a post-truth, post-news, President Trump, Twitter-world. 相似文献
93.
Ahmed Al-Rawi 《Journalism Practice》2017,11(6):705-720
This study aims at understanding international news differences by studying the headlines of over 360,000 news stories posted on the Twitter pages of 12 Arabic and English news organizations. The most referenced countries as well as figures and political actors are examined in these headlines, and the results show that a number of news values elements provide insight into the nature of the news selection. While Arabic channels are mostly focused on the events taking place in the Middle East (proximity), some English-language channels show clear preference for the countries from which they are located, especially CNN and Sky News, as well as Arabic and English state-owned media outlets like France 24 and RT (agenda and ideology). The findings suggest that news content largely follows a number of news values criteria that can explain the news selection process. 相似文献
94.
Language distribution in scientific communication reflects the influence of different languages on science in global perspective. The study, based on over 450 thousand scientific tweets of all publications indexed by Scopus in June 2015, reveals the language distribution in informal scientific communication. Moreover, this result is compared with the language distribution in formal scientific communication reflected in scientific publications. Results show: (1) The language of scientific tweets is concentrated in English (91%), Japanese (2.4%) and Spanish (1.7%), while the language of scientific publications is concentrated in English (90.6%), Chinese (5%) and German (1.1%). (2) Both scientific tweets and scientific publications present disciplinary differences in language distribution, reflecting the different amount of attention that authors of different languages have on certain disciplines. (3) Except Saudi Arabia, investigated countries all over the world, regardless of whether their native language is English or not, all have English scientific tweets in the dominant position. For the vast majority of these countries, the native language scientific tweets only rank the second position. (4) Overall, 26% of tweeters use more than one language to tweet scientific products, while 49% of scientific tweeters tweet everything in English only. The results indicate that English has undoubtedly become the lingua franca in informal scientific communication. 相似文献
95.
The media are normatively expected to play significant roles in conflictual discussions within national and international communities. As previous research shows, digital platforms make scholars rethink these roles based on media behavior in online communicative environments as well as on the structural limitations of the platforms. At the same time, traditional dichotomies between information dissemination and opinion formation roles, although seemingly universal, also vary across cultures. We look at four recent conflicts of comparable nature in the United States, Germany, France, and Russia to assess the roles that legacy media have performed in the respective ad hoc discussions on Twitter. Our approach differs from previous studies, as we combine content analysis of tweets by the media and journalists with the resulting positions of the media in the discussion graphs. Our findings show that, despite the overall trend of the “elite” and regional media sticking to information dissemination, online-only media and individual journalists vary greatly in their normative strategies, and this is true across countries. We also show that combining performance in content and social network analysis may allow for reconceptualization of media roles in a more flexible way. 相似文献
96.
Brittani Crook Elizabeth M. Glowacki Melissa Suran Jenine K. Harris Jay M. Bernhardt 《Communication Research Reports》2016,33(4):349-355
A public response to a looming health threat may be marked with misinformation and panic. However, providing the public with accurate information and updates may be an effective way to prevent widespread fear. In response to the 2014 Ebola panic in the United States, the U.S. Centers for Disease Control and Prevention (CDC) initiated a Twitter conversation with the public to alleviate concerns and provide accurate information about the disease. This study conducted a content analysis of 512 randomly selected tweets by the general public directed to the CDC. The major themes identified included the etiology of Ebola, policy, the environment, spread and scope of the disease, fear and anxiety from the public, and misinformation. Practical implications of these findings include encouraging government and emergency health response organizations to prepare educational messages and materials in advance that detail responses to common questions, such as transmission and symptoms. 相似文献
97.
基于Twitter的移动学习策略研究 总被引：6，自引：2，他引：6
文章从Twitter便捷的即时通信、人性化的人群分组及信息选择发送等功能出发,对其应用于移动学习的可行性进行分析。构建了基于Twitter的移动学习模式,并提出基于此模式的移动学习策略。 相似文献
98.
Helen Donelan 《Journal of Further & Higher Education》2016,40(5):706-729
The research reported on in this article explores the use of social media for work-related or professional purposes. In particular, it focuses on the perceptions and use of social media by academics in the UK. The purpose of the research was to explore the potential social media has to facilitate the changing landscape of higher education and support the individual academic in their role. Of particular interest is how specific social media tools are being used to enhance networking opportunities and contribute to career progression. The use of social media was explored in detail through interviews and a survey. Typical activities that are currently being undertaken were identified and user group profiles developed that articulate different levels of engagement with these tools and the motivations that each group of users have for using social media. The study found that, with increasing levels of activity, the number of motivations for using social media increase, as does the perceived number of successful outcomes, including contributions towards career progression. The main barriers to using social media were identified as a lack of time and skills to undertake these activities, as well as a negative perception of social media. Recommendations for increasing participation are to provide practical training, including the sharing of good practice, and to initiate dialogues within institutions regarding the potential career progression opportunities that social media may afford. 相似文献
99.
《Information processing & management》2022,59(6):103095
Modeling discussions on social networks is a challenging task, especially if we consider sensitive topics, such as politics or healthcare. However, the knowledge hidden in these debates helps to investigate trends and opinions and to identify the cohesion of users when they deal with a specific topic. To this end, we propose a general multilayer network approach to investigate discussions on a social network. In order to prove the validity of our model, we apply it on a Twitter dataset containing tweets concerning opinions on COVID-19 vaccines. We extract a set of relevant hashtags (i.e., gold-standard hashtags) for each line of thought (i.e., pro-vaxxer, neutral, and anti-vaxxer). Then, thanks to our multilayer network model, we figure out that the anti-vaxxers tend to have ego networks denser (+14.39%) and more cohesive (+64.2%) than the ones of pro-vaxxer, which leads to a higher number of interactions among anti-vaxxers than pro-vaxxers (+393.89%). Finally, we report a comparison between our approach and one based on single networks analysis. We prove the effectiveness of our model to extract influencers having ego networks with more nodes (+40.46%), edges (+39.36%), and interactions with their neighbors (+28.56%) with respect to the other approach. As a result, these influential users are much more important to analyze and can provide more valuable information. 相似文献
100.
《Journal of Informetrics》2014,8(4):935-950
Can altmetric data be validly used for the measurement of societal impact? The current study seeks to answer this question with a comprehensive dataset (about 100,000 records) from very disparate sources (F1000, Altmetric, and an in-house database based on Web of Science). In the F1000 peer review system, experts attach particular tags to scientific papers which indicate whether a paper could be of interest for science or rather for other segments of society. The results show that papers with the tag “good for teaching” do achieve higher altmetric counts than papers without this tag – if the quality of the papers is controlled. At the same time, a higher citation count is shown especially by papers with a tag that is specifically scientifically oriented (“new finding”). The findings indicate that papers tailored for a readership outside the area of research should lead to societal impact.If altmetric data is to be used for the measurement of societal impact, the question arises of its normalization. In bibliometrics, citations are normalized for the papers’ subject area and publication year. This study has taken a second analytic step involving a possible normalization of altmetric data. As the results show there are particular scientific topics which are of especial interest for a wide audience. Since these more or less interesting topics are not completely reflected in Thomson Reuters’ journal sets, a normalization of altmetric data should not be based on the level of subject categories, but on the level of topics. 相似文献