Twitter

The next speaker at AoIR 2015 is Mathieu O'Neil, whose focus is on the use of social network analysis in exploring online publics. Social network analysis treats the diffusion of information online as a form of contagion. It draws distinctions between leaders and followers in the social network, and the network properties of these accounts affect how information is disseminated across the network; there are certain threshold levels for information diffusion and the emergence of information cascades.

What different categories of actors exist in social networks, then? What is the impact of social status or structural positions, and what cultural dynamics may apply? One way to approach such questions is through the concept of fields, which have their own structural features and dynamics; indeed, the recent concept of the strategic action field suggests that collective actors are attuned to and interact with each other based on their shared understandings of the field itself.

The final speaker in this AoIR 2015 session is Veronika Karnowski, whose focus is on news diffusion across social media platforms. The Internet has become a main source of news, of course, and social media platforms play an increasingly important role in this. Social media are now not just a source of news content, but also act as a multiplier promoting the sharing of news; and of course they also enable follow-up communication about the news.

The various social media platforms available also enable a kind of cross-pollination between different platforms, and this needs to be researched in greater detail. How do sharing patterns on Facebook and Twitter interact with one another, for example?

The next speaker in this morning session at AoIR 2015 is Jakob Linaa Jensen, whose focus is on the social sharing of news. The landscape of news is changing, of course, and the question is whether the nature of news itself is changing. To some extent, our practices remain, and only our devices have changed – but at the same time, recent changes have also afforded us greater access to the production of news, as well as to new modes and a greater diversity in consuming news.

Perhaps the most important change is to how the news is being shared, as the borderline between production and consumption. Several studies have explored the processes of sharing the news through social media, in particular; Jakob is calling Facebook a meta-medium which incorporates multiple other media within its content, for example.

The first presenters on this second day at AoIR 2015 are Bernhard Rieder and Carolin Gerlitz, whose interest is in using data from Twitter's 'spritzer' firehose! which delivers a random 1% or all current tweets. How can this be used to identify individual types of activity in relation of the wider platform ecology? In particular, for the purposes of this paper, what light does it shed on the use of different devices for tweeting?

The project collected some 32 million tweets from the spritzer firehose over the course of one week, and key tools for tweeting were especially iPhone and Android devices. This may also be combined with the tweet contents themselves, to see which devices contribute especially strongly to specific hashtags, for example.

The next AoIR 2015 speaker is Fabio Giglietto, whose interest is in social television practices in Italy, around political talkshow Servizio Pubblico and reality TV contest X-Factor. What moments of these broadcasts trigger audience engagement? What similarities or differences are there in communication styles?

Fabio's project gathered relevant tweets from the shows' hashtags, and generated a number of key volumetric statistics on user activity; X-Factor audiences were considerably more active. They then algorithmically identified the major peaks in each of the shows' episodes, and explored the key dynamics for each peak.

I'm in Daegu, Korea, for this year's AoIR conference. The first paper session I'm in starts with Amy Johnson, who notes that existence on Twitter is manifested by voice – and voice is understood as the linguistic construction of social personae. Popularly, social media platforms are also described as giving people a voice, though this view is heavily disputed.

On Twitter, anyone with an email address and the technological literacy can have a voice, so from that perspective it is a surprisingly permissive environment – people, groups, bots, group of bots can all have a voice, and this makes Twitter a post-human and post-individual space.

There is a long history of research into the imagined and imaginary nature of participation, participants, and communities, of course – from Anderson to Appadurai and beyond. Amy's focus is on Twitter bot accounts as technical objects, especially also because Twitter explicitly allows and embraces such bot accounts.

The annual end-of-year conference season is upon us again, and I’ll be heading off tomorrow to the annual Association of Internet Researchers conference – the most important conference in my field. In spite of the considerable troubles AoIR has faced this year – its first conference location, Bangkok, was no longer feasible following the military coup in Thailand, and there still seem to be some teething problems with the replacement location in Daegu, Korea – it will be great to catch up with leading colleagues in the field again.

This year, we’re presenting the first outcomes of our latest big data studies of the Australian and global Twitterspheres. One major paper will present what we’ve been able to glean so far of the overall patterns within the global Twitter userbase – we now have data on some 870 million Twitter profiles, which provides us with a unique perspective on how Twitter has grown and diversified as a platform. Further, we’ve also got a brand-new map of follower/followee  networks in the Australian Twittersphere, based on our dataset of some 2.8 million Australian users, and we’re using this to explore the footprint of recent television programming to shed new light on second-screen viewing practices, as part of our Telemetrics project (more on this at Darryl Woodford’s site). I’ll be live-blogging the conference again if I can get online, so expect to see much more over the next few days. As a preview, my slides for the two presentations are below.

My own paper was next at CMPM2014, presenting our work on the Twitter activities by and directed at candidates in the 2013 Australian federal election. Here are the slides, with audio to come:

Twitter in the 2013 Australian Election from Axel Bruns

Up next at CMPM2014 is Stephen Dann, whose focus is on the use of Twitter by Australian political parties. He followed the 31 of the 77 candidates in the Western Australian Senate re-election who were present on Twitter (27 of whom actually posted any content), and found, in short, that what they were posting was not authentic communication.

Stephen's approach was to examine what candidates were doing in Twitter before, during, and after the election campaign. This may include original content, reactions to other people's tweets, or sharing material from outside of Twitter. Overall, then, tweets fit five broad categories: conversation (through @replies), news updates (sharing newsworthy content), passing along other people's content, maintaining a social presence, and broadcast of experiences and opinion. And spam is another possibility, sadly, often hijacking hashtags or conversations or replaying the same message from multiple accounts.

The final speaker in the ASMC14 session is Axel Maireder, whose focus is on the structure of the Twittersphere surrounding the recent European Union election. His approach is to examine the follower networks of participants in relevant discussions, and to explore which factors explain their structural patterns – such as shared national and language identity, political ideology, or other factors.

The study captured all tweets containing keywords such as European Parliament, European Election, and relevant hashtags (in the various European languages), and gathered tweets from some 440,000 users in total. Filtering these to users with at least two tweets and at least 250 followers resulted in some 11,000 core users who were retained for the network analysis.