Topic
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.
Papers published on a yearly basis
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TL;DR: In this paper, the authors examined teacher use of game-based approaches (GBAs) for research in physical education and found that GBAs are proposed as student-centred, but the teacher remains the pedagogical gate-keeper as the choice to use a GBA was largely based on the feeling of the teacher about the use of the approach.
Abstract: This paper examines the use of the microblogging platform Twitter as a tool for research in physical education. The research examined teacher use of game-based approaches (GBAs). A rolling Twitter conversation hosted over the course of 12 hours provided the data for the study. Participants were from 18 countries and they contributed on average 11.80 Tweets per person, and the Twitter conversation had a reach of 110,000 people. Two types of data analysis occurred. The first involved quantitative analysis using Twitter metrics. The second involved qualitative analysis using Leximancer software. The analysis showed ‘teacher’ and ‘questions’ as prominent themes. Although GBAs are proposed as student-centred the teacher remains the pedagogical gate-keeper as the choice to use a GBA was largely based on the feeling of the teacher about the use of the approach. The present study showcases a unique contribution to the literature by sharing a process of mixed method research using a contemporary communicat...
27 citations
13 Jun 2010
TL;DR: In this paper, the authors examined which factors influenced Twitter quitters in their decision to discontinue Twitter's use through the use of perceived motivations and innovation related constructs and examined the influence of mobile device use on the continuance or discontinuance of Twitter.
Abstract: Twitter, the most popular microblogging service by the end of 2009, has gained much interest among Computer-Mediated Communication scholars and practitioners. As a new social medium, Twitter shows distinguished characteristics such as text-based posts of up to 140 characters delivered in real-time, and via multiple access modes including the Web, SMS, and mobile device applications. Interestingly, and in spite of an explosive growth in 2009, Twitter is also experiencing higher dropout rates compared to other social networking sites giving rise to the term Twitter Quitter. This study will examine which factors influence Twitter Quitters in their decision to discontinue Twitter’s use through the use of perceived motivations and innovation related constructs. Uses and Gratifications (UG) and Diffusion of Innovation theory (IDT) are employed to frame the theoretical background. Also, this study will offer support for the effects of mobile device usage to access Twitter on self-reported motivations and perceived outcomes of using Twitter. An online survey will be used to collect data from 300 undergraduate students at a large U.S. mid-western university. A Partial Least Squares (PLS)-based data analysis will be used to provide support for which constructs explain differences between Twitter users and Twitter quitters. Also, the influence of mobile device use on the continuance or discontinuance of Twitter will be examined. Implications for both theory and practice, as well as suggestions for further research will also be presented.
27 citations
18 May 2015
TL;DR: This paper performs a case study on the floods that occurred in the United Kingdom during January 2014, and how these were reflected on Twitter, according to tweets submitted by the users, and presents a systematic algorithmic analysis of tweets collected with respect to the use case scenario.
Abstract: Twitter is one of the most prominent social media platforms nowadays. A primary reason that has brought the medium at the spotlight of academic attention is its real-time nature, with people constantly uploading information regarding their surroundings. This trait, coupled with the service's data access policy for researchers and developers, has allowed the community to explore Twitter's potential as a news reporting tool. Finding out promptly about newsworthy events can prove extremely useful in crisis management situations. In this paper, we explore the use of Twitter as a mechanism used in disaster relief, and consequently in public safety. In particular, we perform a case study on the floods that occurred in the United Kingdom during January 2014, and how these were reflected on Twitter, according to tweets (i.e., posts) submitted by the users. We present a systematic algorithmic analysis of tweets collected with respect to our use case scenario, supplemented by visual analytic tools. Our objective is to identify meaningful and effective ways to take advantage of the wealth of Twitter data in crisis management, and we report on the findings of our analysis.
27 citations
23 Jul 2012
TL;DR: A filtering pipeline is introduced that exploits textual features and n-grams to classify messages into event related and non-event related tweets, and a strategy to automate labeling of training data is presented.
Abstract: Various applications are developed today on top of microblogging services like Twitter. In order to engineer Web applications which operate on microblogging data, there is a need for appropriate filtering techniques to identify messages. In this paper, we focus on detecting Twitter messages (tweets) that report on social events. We introduce a filtering pipeline that exploits textual features and n-grams to classify messages into event related and non-event related tweets. We analyze the impact of preprocessing techniques, achieving accuracies higher than 80%. Further, we present a strategy to automate labeling of training data, since our proposed filtering pipeline requires training data. When testing on our dataset, this semi-automated method achieves an accuracy of 79% and results comparable to the manual labeling approach.
27 citations
TL;DR: The results showed that CEO image strategy influences follower loyalty in the microblogging context and that Chinese microblog users are fondest of CEOs who present themselves as experts rather than as friends.
27 citations