Now that the ICA 2023 and IAMCR 2023 conferences are over and I’m back in Brisbane with a little time before the next round of conferences (ECREA PolCom in Berlin in August, Future of Journalism in Cardiff in September, and AoIR in Philadelphia in October), I’m finally finding some time to update this blog with some new publications as well – in addition to the various conference presentations and papers I already shared in previous posts.

First, I’m really pleased to have published a conceptual article in a special issue of the Communication Theory journal that was edited by Mike Schäfer and Mark Eisenegger. Here, I’m returning to my long-standing interest in dragging public sphere theory kicking and screaming into the digital age, by outlining a number of the fundamental building blocks of the network of publics that has become our everyday reality, and identifying some of the empirical approaches we may use to study those building blocks and their interrelationships in situ. Written in late 2022, many of the examples I use to illustrate these approaches are still drawn from waning social media platforms like Twitter and Facebook, so one of the next challenges for our field will need to be to translate these approaches to new and emerging online platforms – and that will certainly also be an important aspect of my work over the coming years.

Axel Bruns. “From ‘the’ Public Sphere to a Network of Publics: Towards an Empirically Founded Model of Contemporary Public Communication Spaces.” Communication Theory, June 2023. DOI: 10.1093/ct/qtad007.

The final speaker in this AoIR 2022 session is Sebastián Lehuedé, whose focus is on data governance in astronomical data, with particular focus on the astronomical installations in the Atacama desert in Chile. The Atacama now hosts a large number of such observatories (often run by US and EU organisations), due to its remoteness; they produce some 16.5 petabytes of data per year, and the Atacama has been described as the Silicon Valley of data science.

The next speaker in this AoIR 2022 session is Paula Helm, presenting on data colonialism. She begins by contextualising this work as emerging from a computer science project designed to build a new social media platform called WeNet that sought to encourage the diversity of user networks in order to combat the (myth of) ‘filter bubbles’. But in order to encourage diversity, such a platform actually needs substantial amounts of data about its users.

The next session at AoIR 2022 is on data infrastructures, and begins with Jonas Breuer, whose interest is in data protection in smart cities. Smart cities collect a substantial volume of often personal data all of the time, and the implementation of these data technologies needs to be thought through carefully; this project explored these issues through data walks in Belgian cities.

The final paper in this AoIR 2022 session is presented by my colleague Dan Angus, who shifts our focus to patterns of advertising in the 2022 Australian federal election. The slides are below, too. There are a number of tools for the analysis of online political advertising that have started to emerge in recent times, exploring for instance ad spending, audience targetting, and political messaging. But we need more data from the platforms and develop further tools to do this kind of work at scale and discover dodgy activities. This is also critical for journalists, and academic collaborations with journalists.

The sessions at this Norwegian Media Researcher Conference are organised in the form of particularly constructive feedback on work-in-progress papers – which is great as a format, but doesn’t lend itself particularly well to liveblogging. So, I’ll skip forward right to the next keynote by Raul Ferrer-Conill, whose focus is on the datafication of everyday life. This is something of a departure from his previous work on the gamification of the news.

He begins by outlining the datafication of the mundane: the way people’s social action – as well as non-human action, in fact – is being transformed into quantifiable data, especially online, and that such data therefore become a resource that can be utilised, operationalised, and exploited. Indeed, the sense in the industry is now that ‘everything starts with data’, which reveals a particular, peculiar kind of mindset. Over the past years, the Internet of Things has moved from an idea to a reality, and this has fuelled the “smart” delusion: the belief that more datapoints mean smarter decision-making processes (they usually don’t).

Before we launch properly into 2022 and the new Australian Laureate Fellowship that will be the main focus of my year, I need to close the loop on two more talks I presented just before my summer holidays in December, and which are now online as videos.

On 26 November 2021, I had the pleasure to present some thoughts on Facebook’s week-long blanket ban of news content in Australia in an invited presentation at Griffith University’s Centre for Governance and Public Policy. My sincere thanks to Max Grömping and the rest of the CGPP team for hosting me. The talk, available below, also gave me an opportunity to speak more generally about the continued challenges of researching social media platforms and their activities, and to outline some of the work that my colleagues and I in the QUT Digital Media Research Centre and the ARC Centre of Excellence for Automated Decision-Making and Society are doing to address these issues. The audio on the recording is a little soft, but I hope the overall discussion comes through clearly enough; slides and further details are linked below.

Axel Bruns. “Facebook's Australian News Ban and Its Implications for Critical Platform Studies.” Invited presentation at the Griffith Centre for Governance and Public Policy, Brisbane, 26 Nov. 2021.

A few days later I gave a talk to the Social Media Data Science Group at the University of Sydney – many thanks to Monika Bednarek for the invitation. This was a great opportunity for me to step through a number of different, related concepts from groups through communities to publics, and organise some thoughts on how to distinguish these broadly similar but nonetheless distinct formations from one another. This is important especially in the context of network analysis, which all too often jumps to calling collections of similar entities a ‘community’ without paying sufficient attention to the specific meaning of that term: not every cluster is necessarily a community in the proper sense of the word.