Without in-person conferences to liveblog, this site has been a little quiet recently. But that doesn’t mean that there isn’t any news to report – so here is the first of a number of posts with updates on recent activities. First of all, I’m very pleased that a number of articles I’ve contributed to have finally been published over the past few months – and in particular, that they represent the results of a range of collaborations with new and old colleagues.

The first of these is a new book chapter led by my QUT Digital Media Research Centre colleague and former PhD student Ehsan Dehghan, which provides a useful update on his and our current approach to discourse analysis. Building on Ehsan’s work for his excellent PhD thesis, the book chapter connects a detailed methodological overview with the conceptual approaches of Laclau and Mouffe, exploring the presence of agonistic and antagonistic tendencies across a number of case studies. The chapter was published in the third volume in Rebecca Lind’s Produsing Theory book series, which in its title also draws on my concept of produsage, of course.

Dehghan, Ehsan, Axel Bruns, Peta Mitchell, and Brenda Moon. “Discourse-Analytical Studies on Social Media Platforms: A Data-Driven Mixed-Methods Approach.” Produsing Theory in a Digital World 3.0, ed. Rebecca Ann Lind. New York: Peter Lang, 2020. 159–77. DOI:10.3726/b13192/20.

A second new article results from another collaboration with a former PhD student, Felix Münch, now a postdoctoral researcher at the Hans-Bredow-Institut in Hamburg. Building on the work Felix presented at the 2019 AoIR Flashpoint Symposium in Urbino, this article in Social Media + Society outlines a new approach to mapping the network structure of a national Twittersphere, offering a pathway towards generating some critically important baseline data against which observations from hashtag- and keyword-based studies may be compared.

Münch, Felix Victor, Ben Thies, Cornelius Puschmann, and Axel Bruns. “Walking through Twitter: Sampling a Language-Based Follow Network of Influential Twitter Accounts.” Social Media + Society 7.1, (2021) DOI:10.1177/2056305120984475.

Third, I’m also very pleased to have made a contribution to a new article in Digital Journalism by Magdalena Wischnewski, a visiting PhD scholar supported by the RISE-SMA research network coordinated by Stefan Stieglitz at the University of Duisburg-Essen. Caught up in the travel disruptions caused by the COVID-19 pandemic, Magdalena spent rather more time with us at the QUT DMRC than we had planned, but happily we were able to put this extra time to good use and investigate the motivations for sharing hyper-partisan content (in this case study, from InfoWars) on Twitter.

We finish the sessions at the 2019 AoIR Flashpoint Symposium with our second keynote, by Rebekah Tromble. She begins provocatively by suggesting that we as digital media researchers need to get over ourselves, so this should be interesting.

Many of the current problems for digital media research stem from the Cambridge Analytica scandal, which resulted in the shutdown of many of the primary sources of social media research data – especially the Application Programming Interfaces (APIs) of leading platforms. Most applications for API access to Facebook are now denied, for instance; the Instagram platform API was scheduled for shutdown even before the Cambridge Analytica scandal broke; and even what is left of the Instagram graph API is now severely restricted. The Twitter search and streaming APIs remain comparatively open, but there are significant and increasing limitations to their functionality, too.

The final speaker in this 2019 AoIR Flashpoint Symposium session is Tetyana Lokot, who points out the value of ephemerality for citizens living in autocratic regimes. Russia is one example of this: there are significant differences in how the state and its citizens define what networked citizenship means, and ephemerality plays an important role in this context.

The next speakers at the 2019 AoIR Flashpoint Symposium are Lucia Bainotti and Alessandro Gandini, who at presenting a tentative research protocol for studying Instagram stories. Stories are a means for sharing ephemeral content rather than permanent posts on the platform, and such ephemeral content has also become more popular across a wide range of other social media platforms. This represents an overall shift from an archival to a more ephemeral culture.

The next speaker in this 2019 AoIR Flashpoint Symposium session is Esther Hammelburg, who uses ethnographic as well as digital methods to study mediatised events. For such events, this work might include online and on-the-ground observations; screenshots of Instagram stories; Instagram posts themselves, as gathered via the API when it was still available; media diaries; and interviews with participants.

The next speakers at the 2019 AoIR Flashpoint Symposium are Marco Toledo Bastos and Shawn Walker, whose interest is in the ephemerality of hyperpartisan news content. Posts, images, and videos often disappear within hours and days of posting, before they can be fact-checked and before standard archiving platforms such as national archives or the Internet Archive would capture them. Alternatively, the content of these posts may change after posting, meaning that the captured content does not reflect what users first saw.

Up next at the 2019 AoIR Flashpoint Symposium are Tiziano Bonini and Alessandro Gandini, who are interested in ethnographic research in the age of platforms, even in spite of the black boxing strategies now employed by many platforms to protect themselves from scrutiny.

The next paper in this 2019 AoIR Flashpoint Symposium session is presented by Felix Münch and Ben Thies, and Cornelius Puschmann and I have also made a small contribution to it. Our project adapted an experimental algorithm to sample a language-based Twitter follower network, and this was necessary because gathering Twitter follower networks at scale has become increasingly difficult.

The next presenter at the 2019 AoIR Flashpoint Symposium is Ylva Hård af Segerstad, who begins by pointing out how much harder the study of social media phenomena has become as platform APIs have been curtailed and closed down. Additionally, and relatedly, new policy settings such as the European GDPR, have also imposed new limits on data collection, processing, and sharing. This creates critical new ethical challenges for research.