ICA 2024

The next speaker in this ICA 2024 conference session is Francesco Bailo, whose focus is on the Italian Five Star Movement, or M5S. This was a disruptive political movement launched by comedian Beppe Grillo, and this study examined its activities across five platforms: Grillo’s blog, Meetup.com, the M5S Forum, Facebook, and the movement’s e-voting platform which was used to select electoral candidates. The focus here is on 2012 primary elections in the party.

The Sunday at the ICA 2024 conference starts with a session on digital affordances of social media platforms, and begins with a paper by Christian Baden. Social media are many and diverse, and their affordances keep changing; this still needs to be better understood. Social movements are also many and diverse, which also means that the intersections between social media and social movements can be various, and the particular political intentions and communicative purposes of those movements need to be considered in this.

The final speaker in this ICA 2024 conference session is the great Damiano Spina, who begins by highlighting the current challenges to the global information environment. In the IPIE survey of disinformation experts, politicians, social media platforms, and governments were seen as the most problematic sources of mis- and disinformation.

The next speaker in this ICA 2024 conference session is the excellent Giada Marino, presenting some of the work of the Vera.ai research project. Responding to the challenge of mis- and disinformation, the project focusses especially on the coordinated communication networks that share such content in order to influence and manipulate social media audiences, and has developed a content-agnostic tool that monitors the activities of identified problematic accounts.

The next speaker in this session at the ICA 2024 conference is the wonderful Jessica Gabriele Walter, who shifts our attention to the dissemination of verified false content on Facebook in the EU (and UK). This seeks to examine also the patterns of engagement with such content (rather than mere posting), and to do so draws on the Facebook URL Shares dataset.

The next session at the ICA 2024 conference starts with a paper that my QUT Digital Media Research Centre colleague Dan Angus and I are presenting, so I’ll blog Dan’s part and then leave it to our slides to explain my contribution. Our work is part of a large project that investigates the dissemination of problematic, ‘fake news’ content on social media platforms.

We approached this by constructing a masterlist of some 2,300 problematic information domains which have been identified in past research, with a focus mostly on the United States, and building a research stack around that seed list. That stack drew on that list to gather public posts from Facebook’s CrowdTangle data service between 2016 and 2022 (some 42 million of them, from around 918,000 public pages and groups); identify the 1,000 most prominent pages and groups sharing problematic information; gather all of their posts during these years, independent of whether they contained problematic information or not (some 70 million from the 953 still available public pages and groups); and examine – through topic modelling and practice mapping – what else they talked about.

Slides are here, and more live-blogging below:

The next session at the ICA 2024 conference is the annual Steve Jones lecture, which this year is presented by my QUT colleague Jean Burgess and is on the impact of the newly emerging generative artificial intelligence technologies. This should not be confused with the substantial hype around artificial general intelligence, a technology which always seems to be just around the corner and has yet to actually eventuate.

Rather, this talk is about the more limited generative AI systems that appear to have invaded all sorts of projects, and seem to be universally indicated now by sparkle (✨) icons and emoji and rainbow gradients in user interface designs in both expert and consumer products. Only Meta has resisted this trend, and uses a ring icon.

Very serious money is now being poured into generative AI, and well beyond conventional venture capital: all of the major tech firms as well as a range of specialist AI Labs and AI ‘community’ developer platforms like Hugging Face have highly capitalised AI divisions now. This has also led to a vast increase in the amount of computing power and energy resources required got drive such AI activities.

How will we pay for all this sparkle, then? Google has already signalled the potential that AI-powered search may be offered under a for-pay model, and Google AI has also introduced a premium subscription plan. This is a significant shift away from advertising-funded free (or at least freemium) Internet services like online search and online document creation. Another development is the insertion of AI technologies into physical devices, from AI laptops to AI iPhones that incorporate specialised AI chips and on-device Large Language Models.

And the final speaker in this ICA 2024 conference session is by Pengfei Zhao, who is interested in the balance between retributive and restorative reactions to toxic online comments. This is likely also to be influenced by participants awareness of the existence of a broader group of community onlookers who follow exchanges between offenders and those who object to their offences.

The next speaker in this ICA 2024 conference session is Chas Monge, who is interested how third parties make sense of online incivility, and is using the path model of blame: is there a norm violation; did an agent cause it; was this intentional; are there justified reasons for this or could it have been prevented; and on the basis of all this, what level of blame should be attributed to them?

The next speaker in this ICA 2024 conference session is Yifei Wang, whose interest is in political polarisation on TikTok. In the US, polarisation is especially also expressed through affective polarisation and results in political incivility. However, such incivility has been studied more commonly on text-based than video-based platforms; video-based platforms like TikTok remain severely understudied.