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.
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.
I’ve not yet had the chance to write much about one of the major new projects I’m involved with: the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S), a large-scale, multi-institutional, seven-year research centre that investigates the impact of automated decision-making technologies (including algorithms, artificial intelligence, and other such technologies) on all aspects of our personal and professional lives. In particular, for the first year of the Centre I’ve led the News & Media Focus Area, which recently held its inaugural symposium to take stock of current research projects and plan for the future. (This was also the time for me to hand that leadership over to my colleagues Jean Burgess (QUT) and James Meese (RMIT), as I step back from that role to concentrate on another major project – more on this in a future update.)
Within News & Media, I’ve also led a major research project which we launched publicly in late July, and which is now producing first research outcomes: the Australian Search Experience. Inspired by an earlier project by our ADM+S partner organisation AlgorithmWatch in Germany, this project investigates the extent to which the search results Australian users encounter as they query search engines like Google are personalised and therefore differ from user to user; if they are, this would leave open the possibility of user being placed in so-called ‘filter bubbles’ – a concept which I’ve questioned in my recent book Are Filter Bubbles Real? We even have a promo video:
Investigating such personalisation is difficult: since every user is assumed to see a personalised set of search results, we need to compare these results across a large number of users in order to determine whether there is any significant personalisation, and what aspects of these users’ identities might drive such personalisation. While some studies approach this challenge by setting up a large number of ‘fake’ user accounts that are given a particular user persona by making them search repeatedly for specific topics that are expected to contribute to the search engine’s profile for the account, AlgorithmWatch’s earlier, German study took a different approach and invited a large number of real users to contribute as citizen scientists to the study. To do so, they were asked to install a browser plugin that regularly searched for a predefined set of keywords and reported the results back to AlgorithmWatch’s server.
Our ADM+S project uses this same data donation approach, but extends it further: we query four major search engines (Google Search, Google News, Google Video, and YouTube), and we are able to vary our search terms over the duration of the project. Like the earlier project, we also ask users to provide some basic demographic information (in order to link any systemic personalisation patterns we may encounter with those demographics), but never access any of our participants’ own search histories. Our browser plugin is available for the desktop versions of Google Chrome, Mozilla Firefox, and Microsoft Edge, and I’m pleased to say that more than 1,000 citizen scientists have now installed the plugin.
In the Digital Media Research Centre at Queensland University of Technology, I lead the Digital Publics programme – a growing collective of researchers who study the role of mainstream and social media as spaces for public communication. Over the past few years, this has necessarily required a particular focus on the dark sides of online communication, from the role of social, fringe, and mainstream media in the dissemination of mis- and disinformation and conspiracy theories through the continuing transformation of the journalism industry to the problematic role of platform operators in shaping the environments for public communication. And these are just the major themes of my own work – my excellent colleagues in the Digital Publics programme are exploring an even broader and more diverse range of research agendas.
To present a detailed overview of our current work, we are presenting a one-day Digital Publics Symposium on 17 November 2021, under the general heading of Information Disorders. Opening with a keynote by renowned disinformation researcher Kate Starbird from the University of Washington, the Symposium features research by DMRC researchers covering a wide range of current concerns, from large-scale studies of the dissemination of ‘fake news’ content on major social media platforms to detailed forensic analysis of specific issues and events, and from innovative computational methods for the analysis of problematic communicative patterns to in-depth conceptual considerations of possible responses to such information disorders.
If you’re able to join us in Brisbane for the Symposium, we would love to welcome you at QUT; for everyone else, we invite you to follow the proceedings and engage with the discussion through out livestream of the event. Click on the image below to find out more about the Symposium, to see the event programme, and to register as an online or in-person attendee:
I’ve been working from home since mid-March now, but the research continues even if remotely. Here are some more updates on the latest outputs.
First, in addition to our ‘Australia at Home’ online seminar, my QUT colleague Tim Graham and I (with support from our research assistant Guangnan Zhu and Rod Campbell from the Australia Institute) have now also published a report for the Australia Institute’s Centre for Responsible Technology that investigates the presence of coordinated activity on Twitter in the early days of the COVID-19 outbreak. We find evidence of coordinated networks of accounts promoting the false claim that the coronavirus was engineered as a bioweapon, as well as pushing a range of other conspiracy theories. The full report is out now – and here’s the press release from the Centre for Responsible Technology.
Further, I also spoke about this and related research as part of an online panel discussion organised by the University of Queensland Art Museum. In a wide-ranging discussion, we touched on the spread of COVID-related ‘fake news’, the question of how platforms, regulators, and the general public should respond to such mis- and disinformation, and the need for much more (and much more interdisciplinary) research in this area. Here’s the full video:
Homebrew Comm-Research is gaining momentum while we work from home. What are the basic approaches of computational communication research that may help combat the pandemic?
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