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'Big Data'

Mapping the Australian Twittersphere (MIT8 2013)

Media in Transition 8

Mapping the Australian Twittersphere

Jean Burgess and Axel Bruns

This paper maps networks of affiliation and interest in the Australian Twittersphere and explores their structural relationships to a range of issues-based ad hoc publics (Bruns, Burgess 2011). Using custom network crawling technology, we have conducted a snowball crawl of Twitter accounts operated by Australian users to identify more than one million users and their follower / followee relationships, and have mapped their interconnections. In itself, the map provides an overview of the major clusters of densely interlinked users, largely centred on shared topics of interest (from politics through parenting to arts and sport) and/or socio-demographic factors (geographic origins, age groups). Our map of the Twittersphere is the first of its kind for the Australian part of the global Twitter network, and also provides a first independent and scholarly estimation of the size of the total Australian Twitter population. In combination with our investigation of participation patterns in specific thematic hashtags, the map also enables us to examine which areas of the underlying follower / followee network are activated in the discussion of specific current topics – allowing new insights into the extent to which particular topics and issues are of interest to specialized niches or to the Australian public more broadly. Finally, we investigate the circulation of links to the articles published by a number of major Australian news organisations across the network.

A Final 2012 Publications Round-Up

As we’re hurtling down the last few hours towards 2013, it seems like a good idea to take stock of what was an incredibly busy 2012. Here, then, is a round-up of all (I think) of my publications and presentations for the year, organised into loose thematic categories. In all, and with my various collaborators from the ARC Centre of Excellence for Creative Industries and Innovation and beyond, I seem to have generated some 4 book chapters, 12 journal articles, 22 conference presentations and one major report – and that’s not counting various articles in The Guardian, The Conversation, and other media outlets. There’s also a few more articles still in the pipeline – but given today’s date, I suspect they’ll end up counting towards 2013 rather than 2012…

 

Social Media Research Methods

One major component of our Mapping Online Publics work for this year has been the further development of our social media research approaches, especially as far as Twitter research is concerned. A number of my publications have dealt with the practical aspects of this work:

Twitter, Big Data, and the Digital Humanities

From the excitement of AoIR and ECREA 2012, I’ve arrived back in Australia – and have gone on almost directly to another presentation, this time at the University of Queensland Digital Humanities Symposium, where this morning I presented our research on Twitter as an example of the more general push towards ‘digital humanities’ and ‘big data’ research. Here are my slides and audio from the event – many thanks to Kerry Kilner and Peta Mitchell for the invitation to speak.

Making Sense of the Public Sphere with Big Data from Social Media

My own paper starts the ICA-flavoured session at ECREA 2012 this afternoon; my presentation built on our research into the uses of Twitter to explore how we might reconceptualise the public sphere. The slides are below; audio will follow. now online, too.

Social Media, Big Data, and the Public Sphere from Axel Bruns

New Methodologies for Capturing and Working with Publicly Available Twitter Data (AoIR 2012)

AoIR 2012

New Methodologies for Capturing and Working with Publicly Available Twitter Data

Axel Bruns

  • 21 Oct. 2012 – Panel "Digital Data – Lost, Found, and Made" at the Association of Internet Researchers conference, Salford

Research beyond Data

The final speaker (that went fast) at the CCC Symposium is Annette Markham, who begins by posing the question "What counts as data?" An answer to that question might provide an opportunity to bridge 'big data' and qualitative research - because what counts as data also defines what is considered to be viable, credible, or interesting findings.

Determining Big Data Dynamics

We continue at the CCC Symposium with the great Alex Halavais, who is interested in the first place in the hidden patterns in data, and the learning - the evolution of ideas - which might result from them. But how do we detect such learning, such change? One indicator could be the popularity of content or users - success may be measured in the amount of attention received, for example.

From Big to Small Data in Search Engines

The next speaker at the CCC Symposium is Christina Lioma, whose focus is on search engines. These, too, are repositories of data, but contain unstructured, heterogeneous, and noisy data - we're using them to find needles in haystacks (using various search logics, in fact: known needles in known haystacks, unknown needles in unknown haystacks, etc.). The discipline of information retrieval aims to develop theoretical principles for modifying and quantifying information and topical relevance.

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