Sorry: it’s been a while since I’ve updated this blog. Largely, that’s because I’ve been so busy with our work on the Mapping Online Publics project – see the project blog for all the latest information. Following the various natural disasters we’ve endured – in Australia, New Zealand, and Japan, to begin with –, that work has focussed for the moment especially on the use of social media for crisis communication, with plenty of outcomes already. In particular, this includes our two most recent presentations:

• “Social Media Use in the Queensland Floods”, at the Eidos symposium in Brisbane on 4 April 2011
• “Tracking Crises on Twitter: Analysing #qldfloods and #eqnz”, at the Emergency Media and Public Affairs conference in Canberra on 12 April 2011

Slides and audio from both presentations are now online here – just follow the links above.

As 2010 draws to a close, its perhaps appropriate that my last couple of conference presentations for the year take a somewhat retrospective nature, summarising and reflecting on the 2010 Australian federal election, with a particular view on what we’ve learned about the state of Australian journalism in general and the role of Twitter in election coverage and debate in particular. I’ll present both those papers at different conferences in Sydney this Friday (26 November):

• At the Journalism Education Association conference at the University of Technology Sydney, I’m presenting a somewhat polemical plenary, “The Blogification of Australian Journalism? Notes from the Election”, in the morning (and there’s a full paper to go with the presentation, too);
• at the International Australian Studies Association ‘Double Vision’ conference at the University of Sydney, in the afternoon, I’m presenting “Election 2010: The View from Twitter”, a ‘best of’ from our detailed examination of the #ausvotes Twitter hashtag as part of the Mapping Online Publics ARC Discovery project.

Slides for both those presentations are below, and I’ll try and add audio later both with audio.

Gothenburg.
The next speaker at AoIR 2010 is Luca Rossi, whose interest is in how information propagates through social network sites. This works with data from Friendfeed, which is somewhat similar to Twitter, but also allows people to add their own comments and likes directly to other’s posts (more similar to Facebook in this regard).

How can we define information propagation on this site, then? If a user posts some content on Friendfeed, then this message is visible to all of their followers – and if one of the followers comments or likes that message, it also becomes visible to the people following that follower, and so on. Luca’s team collected Friendfeed data for two weeks in September 2009 – some 10 million posts including 500,000 likes from 450,000 users.

Gothenburg.
The final speaker in our social media mapping session at AoIR 2010 is my excellent PhD student Tim Highfield, whose focus is on comparing the French and Australian political blogospheres. Here, he’s examining blog network mapping, which enables an investigation of links, affiliations, friendships, clusters, references, and oppositions between blogs; this can also easily lead to simply pretty visualisations which ultimately don’t tell us much, however.

Strengths are that larger and longer-term datasets can be created, and dominant groups can be identified over time – however, many studies still focus on all links on a page, rather than only on the discursive links in blog posts and/or the static affiliations in blogrolls. for example. Additionally, it would also be used to distinguish supportive and oppositional links, and to weight repeated links more strongly than less frequent interlinkage.

Gothenburg.
The next speaker in our social media mapping panel at AoIR 2010 is Christian Nuernbergk, whose interest is in tracking and mapping political interaction in online social networks. This is driven by the ‘concentration of attention’ debate: people like Yochai Benkler suggest that new online platforms provide a greater space for people to engage in discussion and conversation, while someone like Matthew Hindman claims that the Web exhibits a ‘rich get richer’ phenomenon where audiences end up concentrated around a handful of sites.

So, in Germany, which Websites benefit the most from the emerging network; how centralised is the link structure? This study worked with a dataset from Linkfluence Germany, which had already mapped the German political Web for the last election and now repeated its Web crawl to determine the overall link network. Various attributes of network actors were automatically generated, and reviewed by researchers at the University of Münster.

Gothenburg.
The next speaker in our social media mapping panel at AoIR 2010 is Hallvard Moe, whose focus is on Twitter as an arena for public debate in Norway, around the data retention policy debate in that country. Norway is traditionally a social-democratic state with relatively advanced use of ICTs, apparently including some 160,000 Twitter users; this also meant that there was substantial debate about the adoption of the EU data retention directive (for regularly archiving phone and network data).

Hallvard archived tweets on the #dld hashtag using Twapperkeeper, between April and early August 2010, resulting in some 12,000 tweets (though not all relevant tweets in Norway may have used the #dld hashtag, of course). Activity on the topic was spread across the entire time period, at relatively low but persistent levels. There are a number of key peaks, especially around 9 May (the conservative party’s congress); tweets around that day anticipated party decisions as well as commenting on the day’s events.

Gothenburg.
My own paper (with Jean Burgess, Thomas Nicolai, and Lars Kirchhoff) starts the final session of this second day at AoIR 2010. Below is the Powerpoint, and I’ll try to add the audio some time soon the audio is online now, too.

Hamburg.
My own paper was next at ECREA 2010. Here’s the presentation – and I also recorded the audio for it, and will add it as soon as I can which is now attached to the slides. As it turned out, one of the other presenters in the session also broadcast the whole event to Justin.tv – so go there to see it all in action (my presentation starts around 52 minutes in, and you can also see the other papers on our panel)…