Microblogging

About: Microblogging is a research topic. Over the lifetime, 4186 publications have been published within this topic receiving 137030 citations. The topic is also known as: microblog.

Twitter Time A Temporal Analysis of Tweet Streams During Televised Political Debate

Abstract: This article examines the role that the microblogging service Twitter plays in engaging audiences with televised political debate. Analysis focuses on Q&A, a political discussion show hosted by the Australian Broadcasting Corporation, and the #QandA hashtag used to discuss the broadcast. Analysis suggests that rather than enabling user-to-user communication, the #QandA stream is characterized by the struggle to signify and complex nonlinear temporalities. These contributions to ongoing language wars imply an emergent type of audience engagement, which may not be compatible with a normative framing of deliberative discourse.

Towards semantic search and inference in electronic medical records : an approach using concept-based information retrieval

Abstract: For more than a decade research in the field of context aware computing has aimed to find ways to exploit situational information that can be detected by mobile computing and sensor technologies. The goal is to provide people with new and improved applications, enhanced functionality and better use experience (Dey, 2001). Early applications focused on representing or computing on physical parameters, such as showing your location and the location of people or things around you. Such applications might show where the next bus is, which of your friends is in the vicinity and so on. With the advent of social networking software and microblogging sites such as Facebook and Twitter, recommender systems and so on context-aware computing is moving towards mining the social web in order to provide better representations and understanding of context, including social context. In this paper we begin by recapping different theoretical framings of context. We then discuss the problem of context- aware computing from a design perspective.

What are we doing? Microblogging, the ordinary private, and the primacy of the present

Abstract: Purpose - This paper aims to better understand the cultural-philosophical significance of microblogging. In this way it seeks to inform evaluations of this new medium and of the culture and society it co-shapes and in which it is rooted. Design/methodology/approach - Engaging in philosophical reflection inspired by philosophy of technology, political philosophy, and cultural history, this paper identifies and discusses some structural features of microblogging such as Twitter. Findings - This paper discusses the following structural features of microblogging as a medium: an emphasis on activity, the rule of opinion, emphasis on the ordinary and on the self, blurring of the private/public distinction, the primacy of the present, and the paradox of distance and proximity. The discussion also suggests that microblogging remediates ‘older’ media such as letters, e-mails, texting, diaries, and newspaper writings. Finally, the paper explores some strategies to cope with the new medium, including ‘hacking’ it in order to widen the spectrum of possibilities it offers. Research limitations/implications - Practical implications - The paper assists users and policy makers to reflect on how new media such as microblogging might change the way we live and think. It helps them to better understand the medium and to evaluate its use. Originality/value - Although there are data available now on the use of Twitter and other microblogging technologies, there has been very little philosophical reflection on the phenomenon. This paper begins to bridge this gap and makes novel connections between ideas from different academic fields

Lexicon-Based Sentiment Analysis on Topical Chinese Microblog Messages

Abstract: Microblogging is a popular social media where people express their opinions and sentiment on social topics. The Chinese microblogging service, called Weibo, has become a remarkable media in the Chinese society. People are eager to know others’ attitudes towards social events; thus sentiment analysis on those topical microblog messages is important. In this paper we introduce a lexicon-based sentiment analysis method. We construct a Weibo Lexicon with representative topical words and out-of-vocabulary (OOV) words, which are usually informal and are not existing in formal dictionaries. In addition, we use a propagation algorithm to automatically assign sentiment polarity scores to the discovered words. These scores are more closely reflecting the Weibo context since words may have new or opposite polarities instead of their formal meanings. Evaluations on the classification tasks show that our method is effective on recognizing the subjectivity and sentiment of Weibo sentences. The Weibo lexicon increases the performance of the classifications.

Online Discussion on #KidneyStones: A Longitudinal Assessment of Activity, Users and Content

Abstract: Introduction Twitter is a popular microblogging platform for the rapid dissemination of information and reciprocal exchange in the urological field. We aimed to assess the activity, users and content of the online discussion, #KidneyStones, on Twitter. Methods We investigated the Symplur Signals analytics tool for Twitter data distributed via the #KidneyStones hashtag over a one year period. Activity analysis reflected overall activity and tweet enhancements. We assessed users’ geolocations and performed an influencer analysis. Content analysis included the most frequently used words, tweet sentiment and shares for top tweets. Results 3,426 users generated over 10,333 tweets, which were frequently accompanied by links (49%), mentions (30%) and photos (13%). Users came from 106 countries across the globe and were most frequently from North America (63%) and Europe (16%). Individual and organisational healthcare professionals made up 56% of the influencers of the Twitter discussion on #KidneyStones. Besides the words ‘kidney’ (used 4,045 times) and ‘stones’ (3,335), ‘pain’ (1,233), ‘urine’ (1,158), and ‘risk’ (1,023) were the most frequently used words. 56% of tweets had a positive sentiment. The median (range) number of shares was 85 (62–587) for the top 10 links, 45.5 (17–94) for the top 10 photos, and 44 (22–95) for the top 10 retweets. Conclusion The rapidly growing Twitter discussion on #KidneyStones engaged multiple stakeholders in the healthcare sector on a global scale and reached both professionals and laypeople. When used effectively and responsibly, the Twitter platform could improve prevention and medical care of kidney stone patients.