Recap: The 1st Workshop on Semantic Generative Agents on the Web (SemGenAge 2025)
June 2nd, 2025 – Portorož, Slovenia | Part of ESWC 2025



The 1st Workshop on Semantic Generative Agents on the Web, held on June 2nd in Portorož, Slovenia, as part of the Extended Semantic Web Conference (ESWC 2025), marked a key milestone in disseminating the goals and findings of the TWON project to the academic community. The event brought together researchers from diverse disciplines to explore how Semantic Web technologies and Large Language Models (LLMs) can be combined to develop intelligent, interpretable, and communicative agents for the web.
Opening Keynote
The workshop opened with a keynote by Matthias Nickles (National University of Ireland, Galway), who presented a comprehensive overview of the history and recent advancements in generative agents within computer science, setting the stage for the diverse presentations to follow.
Paper Presentations
Jan Lorenz (Constructor University) kicked off the presentations with a talk on “Filter Bubbles in an Agent-Based Model Where Agents Update Their Worldviews with LLMs“. His work replaced abstract numerical opinion spaces with LLM-generated human-like statements to simulate opinion dynamics. The goal was to assess whether filter bubbles would still emerge in this more realistic setting and to examine the practical integration of LLMs into agent-based simulations.
Next, Martin Žust (Jožef Stefan Institute) presented a web-based negotiation agent designed to assist unskilled negotiators in real time. The agent transcribes dialogue, builds dynamic world models, and combines analytical reasoning with human-like intuition to offer context-aware negotiation support. This hybrid approach aims to enhance interpersonal outcomes through collaborative human-AI interaction.
Abdul Sittar (Jožef Stefan Institute) followed with an agent-based simulation of social media engagement during German elections. By incorporating past conversational history, motivational factors, and resource constraints, the model used fine-tuned AI to generate posts and replies, applying sentiment analysis, irony detection, and offensiveness classification. The findings highlighted how historical context shapes AI responses and how behavior shifts under different temporal constraints.
Afternoon Keynote and Talks
In the afternoon keynote, Denisa Reshef Kera (Bar-Ilan University) addressed philosophical perspectives on generative agents, focusing on bias, representation, and agency. She emphasized the role of generative agents in public policy and civic participation, highlighting their potential for enhancing digital society.
Ljubisa Bojic (University of Belgrade) presented an innovative AI-based recommender system designed to reduce echo chambers and polarization. His model incorporates emotional tone, content diversity, and political balance into the recommendation process, improving content exposure without sacrificing accuracy. The approach aligns with ethical AI principles, offering user autonomy through customizable preferences.
Denisa Reshef Kera returned with Avital Dotan to present “AI Beyond Rules, Heuristics, and Dreams“, introducing the concept of ergative-absolutive AI agents. Drawing on linguistic structures from languages like Basque, they proposed a new way of modeling agency in LLMs—treating them not just as predictors but as performative systems that enact grammar and interaction. Their two-step framework involves analyzing grammatical alignments and creating participatory simulations with diverse agent alignment patterns to encourage adaptive and accountable behavior.
Simon Münker (University of Trier) concluded the paper presentations with “twony“, a micro-simulation platform that models emotional contagion and discourse dynamics in online social networks. Using fine-tuned BERT models and LLMs to simulate politically engaged personas, twony visualizes emotional cascades in various feed algorithm scenarios—offering a powerful, open-source tool for explaining polarization and online behavior.
Closing Discussion
The workshop concluded with a fishbowl discussion featuring Achim Rettinger, Damian Trilling, Marko Grobelnik, Matthias Nickles, and Denisa Reshef Kera. The panel reflected on the interdisciplinary insights presented throughout the day and discussed future directions for generative agents in real-world applications.
Takeaways
SemGenAge 2025 fostered rich dialogue across fields including semantic web technologies, AI, computational social science, and digital media studies. Discussions emphasized the potential of generative agents in areas such as online discourse moderation, content recommendation, opinion shaping, and consumer behavior analysis.
The workshop’s insights will directly support TWON’s mission: combining empirical observations, simulation, and participatory methods to create evidence-based recommendations for improving social network regulation and enhancing digital citizenship.
For full program details, visit the official workshop page.
