New Publication: Simulating Algorithmic Personalization and Polarization
We are pleased to announce a new peer-reviewed publication by Ljubiša Bojić, co-authored with Velibor Ilić, Veljko Prodanović, and Vuk Vuković, published in Chinese Political Science Review. The paper introduces the Recommender Systems LLMs Playground (RecSysLLMsP),
Rethinking AI for Democratic Societies – Joint Event in Ljubljana, October 14
On October 14, partners from the projects AI4Gov, SOLARIS, and TWON gathered in Ljubljana to explore how artificial intelligence can support democracy, transparency, and citizen participation. The event titled AI, Democracy and the Public Interest:
Out now: Our new demonstrator tool TWONderland
In the past weeks, our TWON researcher Fabio Sartori (KIT) and his colleagues worked on a new demonstrator tool to make the dynamics of Online Social Networks tangible for the broad public. The result is:
New paper by TWON researcher Simon Münker: Fingerprinting LLMs through Survey Item Factor Correlation: A Case Study on Humor Style Questionnaire
We are proud to announce that our researcher Simon Münker published a new paper with the title: Fingerprinting LLMs through Survey Item Factor Correlation: A Case Study on Humor Style Questionnaire. It is published in the
It’s a wrap: CitizenLab 2025 in Chemnitz
On 8 October, we hosted another CitizenLab in the Stadthallenpark in Chemnitz, where we got to speak with citizens about our research on Online Social Networks. We presented our demonstrators MicroTWONY, MacroTWONY, and TWONderland to
New publication: Can we use automated approaches to measure the quality of online political discussion?
We’re proud to announce that our consortium members Sjoerd Stolwijk, Damian Trilling (both University of Amsterdam) and Simon Münker (Trier University) contributed to a freshly published paper on measuring the debate quality of online political