Social media platforms are increasingly shaped by the integration of generative AI alongside long-standing analytical and predictive models. Today’s algorithmic systems are moving from the background infrastructure to the forefront of digital social life – intervening in the content feeds as conversational agents like xAI’s Grok, reshaping identity through synthetic likenesses of OpenAI’s Sora-2, and expanding the social ecosystem itself through projects like Butterflies AI and Moltbook, where autonomous AI agents operate in coexistence with (or independently of) human users. As these developments rapidly outpace existing research frameworks, the need for mixed critical methodologies grows more urgent.
Synthetic social media research takes as its starting point the recognition that platforms shaped by generative AI are not simply data-processing systems but cultural environments organized through algorithms, interfaces, and shared ways of feeling and knowing. Analytically, the attribute “synthetic” implies more than artificial arrangements of collective agency. Rather than treating AI as a radical rupture, it situates generative systems within broader arrangements of human-machine co-creation that amplify specific imaginaries, values, and concerns. Methodologically, it foregrounds ambiguities in how AI platforms recalibrate meaning and how users develop a practical “feel” for algorithmic systems while negotiating their constraints.
Critical digital methods have responded to these developments by treating chatbots and generative systems as part of the research design as well as objects of inquiry in their own right. Synthetic text, images, and sounds are no longer exceptional artifacts but common platform vernaculars, sustained by entangled practices of prompting, remixing, and circulation. Within platform studies, interface methods, visual digital methods, and emerging forms of synthetic ethnography, AI systems have been repurposed for formatting, summarization, annotation, labeling, and the generation of synthetic data, while being interrogated for how they shape knowledge production. This work has foregrounded questions of method: Are we merely studying AI slop, distracted by the automated excess of content stripped of context and meaning, or are we witnessing the redefinition of social media itself along with its affordances and cultures of use?
The 2026 Autumn School edition of the CRC “Media of Cooperation” tackles this question by focusing on generative AI as an infrastructural, cultural, and regulated component of social media platforms across three intersecting dimensions: At the cultural level of everyday use, it refers to the routinized practices of prompting or interacting with platform-embedded generative systems through multimodal inputs. Infrastructurally, it signals a shift in agency, as platforms keep multiplying affordances that nudge us into co-producing synthetic outputs. Finally, it foregrounds research techniques for probing AI models in their entanglements with the platform governance and moderation regimes.
Against this background, we invite participants to submit short contributions inspired by, though not limited to, one of the following “how to” prompts:
- How to repurpose AI personas as research personas
- How to rethink walkthrough methods in light of platforms’ generative affordances
- How to approach cultural biases conditioned by AI systems and prompt cultures
- How to study AI moderation as platform policy in action
- How to explore platform agency and its steering ideologies
- How to integrate screenshots as a method for capturing synthetic situations
- How to account for the ambiguities emerging from human-machine co-creation
- How to develop non-extractive approaches to researching AI platforms
Participants are invited to submit a short abstract (maximum 500 words excluding references) outlining how their work relates to the event’s theme. Presentations should raise questions or provocations rather than present finished research. Accepted abstracts will be grouped into thematic sessions and discussed in a collaborative, dialogue-focused format.
Submit your proposal by 30. April 2026
Notification of acceptance by 15 May 2026
Registration by 15 June 2026The event opens with a one-day conference and moves into hands-on workshops and project work. Accepted abstracts will be grouped into thematic sessions curated by the organising team. Presenters will be connected via email ahead of time to coordinate their contributions. The first day is about presentations and discussions. The next three days are dedicated to exploring and developing methods – hands-on! We invite you to join a team of interdisciplinary scholars and data designers in probing new methodological combinations. Each of our project teams will present a research question alongside a specific method to be collaboratively explored. Please bring your laptops. The project titles will be announced soon. The event is free of charge, though attendees are responsible for arranging and covering their travel and accommodation in Siegen.