22 citations · 22 across the 3 of their papers we have counts for
4 papers
Thinking Less to Simulate Better: Intuitive Prompting Improves LLM Agents Simulating Individual Social Media Reactions, Including Unfamiliar Content
Ljubisa Bojic, Tijana Stanic, Joerg Matthes +3
Platform policies are increasingly tested on artificial users, making agent fidelity important. Yet convincing fake profiles could also manipulate perceived public opinion before e…
Knowing You Is Everything: LLM Agents Achieve Near-Perfect Profile-Consistent Reaction Prediction in Social Media Simulation
Ljubisa Bojic, Ljiljana Matic, Joerg Matthes +3
Autonomous AI agents in social media present concrete risks to democratic discourse and platform governance, while also offering tools for pre-deployment recommender system testing…
LLM Agents Predict Social Media Reactions but Do Not Outperform Text Classifiers: Benchmarking Simulation Accuracy Using 120K+ Personas of 1511 Humans
Ljubisa Bojic, Alexander Felfernig, Bojana Dinic +4
Social media platforms mediate how billions form opinions and engage with public discourse. As autonomous AI agents increasingly participate in these spaces, understanding their be…
Personality testing of Large Language Models: Limited temporal stability, but highlighted prosociality
Bojana Bodroza, Bojana M. Dinic, Ljubisa Bojic
As Large Language Models (LLMs) continue to gain popularity due to their human-like traits and the intimacy they offer to users, their societal impact inevitably expands. This lead…