I’m sharing the next session at the ICA 2024 conference, and it starts with Anis Rahman, whose focus is on the use of AI in public media journalism. AI tools are largely emerging from major corporations in Global North countries; public media organisations are not doing a great deal of work in studying, exploring, or developing AI applications as yet, however. Here it is also important to distinguish between full generative AI tools and mere algorithms.

And the final speaker in this ICA 2024 conference session is Ahmed Al-Rawi, who is interested in assessing the automated visual analysis of news and social media images. His study draws on the GDELT dataset of news content metadata from around the world, which (using the Google Vision API) also OCRs, labels, and detects logos in broadcast TV content. He extracted some 813,000 news items from the GDELT CloudVision dataset, and from this drew some 10,000 items addressing 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 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.

The post-lunch session at the ICA 2024 conference that I’m attending has been organised by the Global Journalism Innovation Lab (GJIL) project, and focusses on AI-generated content in the news. Elizabeth Dubois starts us off by defining generative AI as a type of artificial intelligence system which is capable of generating text, images, and other media in response to prompts. Such generative AI models learn the patterns and structure of their input training data, and then generate new data that have similar characteristics.

The final panel at this excellent Indicators of Social Cohesion symposium in Hamburg starts with the excellent Jakob Ohme, whose focus is on digital intermediaries in knowledge processes on digital platforms. Such platforms lead to context collapse, a levelling of epistemically hierarchies, and a disintegration of formerly fixed sequences in the knowledge process; through this, for instance, journalism has lost its gatekeeping function and information monopoly, actors have switched roles in the information process, and the amount of unverified information that is circulating has increased substantially.

Day two at the Indicators of Social Cohesion symposium begins with the great Petter Törnberg, who begins with a brief review of the changing understanding of the public sphere. With the arrival of the Web and (later) social media, there was early optimism about a new democratic renaissance – an opportunity for more inclusive and diverse public debate after the mass mediatisation of public debate through commercial print and broadcast media.

The next speaker at the Indicators of Social Cohesion symposium is Ethan Busby, zooming in from Utah. His focus is especially on the use of Large Language Models in research, and current research focusses especially on the analysis of conversations in social media spaces, and the potential for automated tools to interact with such conversations.

The next speaker in this I-POLHYS 2024 session is Patrícia Rossini, who is also focussing on incivility. She begins by noting that this is a feature, and not a bug, of social media, and that conventional empirical research into incivility on social media tends to examine blatant forms (name-calling, profanity) rather than implementing more sophisticated perspectives.