Analyzing Network Data – Twitter Workshop with Axel Bruns, Jean Burgess, Darryl Woodford, and Robert Jäschke
Axel Bruns, Jean Burgess, Darryl Woodford:
Mapping Online Publics: New Methods for Twitter Research
The study of Twitter at large scale and in cloose to real time requires the development of new methodological approaches which are able to process, analyse, and visualise the 'big social data' which can be accessed through the Twitter API. The Mapping Online Publics project in the ARC Centre of Excellence for Creative Industries and Innovation (CCI) at Queensland University of Technology has developed a number of approaches to the study of short- and long-term Twitter publics, from analyses of the dynamics of ad hoc issue publics around natural disasters and political crises through the tracking of information flows and audience interests across mainstream and social media to the comprehensive mapping of the Australian Twittersphere. This presentation will outline the methodological approaches developed for this work, and reflect on the opportunities and challenges facing social media researchers.
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Identifying and Analyzing Researchers on Twitter
For millions of users Twitter is an important communication platform, a social network, and a system for resource sharing. Likewise, scientists use Twitter to connect with other researchers, announce calls for papers, or share their thoughts. Filtering tweets, discovering other researchers, or finding relevant information on a topic of interest, however, is difficult since no directory of Twitter users with a scientific background exists. In this paper we present an approach to identify Twitter accounts of researchers and demonstrate its utility for the discipline of computer science. Based on a seed set of computer science conferences we collect relevant Twitter users which we can partially map to ground-truth data. The mapping is leveraged to learn a model for classifying the remaining users with high accuracy. To gain further insights into how Twitter is used by researchers, we perform an empirical analysis of the identified users and compare their age, popularity, influence, and social network.
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Axel Bruns is an Australia Research Council Future Fellow and Associate Professor in the Creative Industries Faculty at Queensland University of Technology in Brisbane, Australia. He leads the QUT Social Media Research Group and is the author of Blogs, Wikipedia, Second Life and Beyond: From Production to Produsage (2008) and Gatewatching: Collaborative Online News Production (2005), and a co-editor of Twitter and Society (2014), A Companion to New Media Dynamics (2012) and Uses of Blogs (2006). His current work focusses on the study of user participation in social media spaces such as Twitter, especially in the context of acute events. His research blog is at snurb.info, and he tweets at @snurb_dot_info. See mappingonlinepublics.net for more details on his research into social media.
Jean Burgess is Deputy Director of the ARC Centre of Excellence for Creative Industries & Innovation (CCI) and Associate Professor, Digital Media in the Creative Industries Faculty at Queensland University of Technology. She is involved in several research projects that apply computer-assisted methods to the analysis of large-scale social media data. Her books include YouTube: Online Video and Participatory Culture (Polity Press, 2009), Studying Mobile Media: Cultural Technologies, Mobile Communication, and the iPhone (Routledge, 2012) and A Companion to New Media Dynamics (Wiley-Blackwell, 2013). Over the past decade she has worked with a large number of government, industry and community-based organisations, focusing on the uses of social and co-creative media to increase participation, advocacy and engagement.
Darryl Woodford is a Research Fellow in the ARC Centre of Excellence for Creative Industries & Innovation (CCI) at Queensland University of Technology. He has a background in Engineering and Game Studies, including research on the agency of avatars in virtual environments. His current research includes work on social norms and regulation in the video game and gambling industries, and he is leading the development of new digital methods for measuring and evaluating television audience engagement using social media analytics.
Robert Jäschke is Professor of Web Information Retrieval and Social Search at the Leibniz University Hannover. His research is focused on the development and integration of algorithms for community detection, ranking, and recommendations into collaborative tagging systems. Further topics of interest include citation and link analysis, entity matching and resolution, and social network analysis. Prof. Jäschke is leading the development of the L3S developed system, BibSonomy, which is used as test-bed for methods and results. As associate member of the L3S Research Center he is also managing the activities of L3S within the Leibniz-Forschungsverbund Science 2.0.
(Please note: This is a public workshop, but we'd like you to send a short e-mail to Gabriele Kraft <gkraft at gcdh.de> if you are planning to attend. Thanks!)
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