23 citations · 30 across the 7 of their papers we have counts for
7 papers
Addressing Climate Action Misperceptions with Generative AI
Miriam Remshard, Yara Kyrychenko, Sander van der Linden +4
Mitigating climate change requires behaviour change. However, even climate-concerned individuals often hold misperceptions about which actions most reduce carbon emissions. We recr…
Puppets or partners? Governing cyborg propaganda in the digital public square
Jonas R. Kunst, Kinga Bierwiaczonek, Meeyoung Cha +12
The distinction between genuine grassroots activism and automated influence operations is collapsing. While contemporary policy debates prioritize fully autonomous generative agent…
How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare
Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli +19
Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach un…
Towards global equity in political polarization research
Max Falkenberg, Matteo Cinelli, Alessandro Galeazzi +18
With a folk understanding that political polarization refers to socio-political divisions within a society, many have proclaimed that we are more divided than ever. In this account…
Human Preferences for Constructive Interactions in Language Model Alignment
Yara Kyrychenko, Jon Roozenbeek, Brandon Davidson +2
As large language models (LLMs) enter the mainstream, aligning them to foster constructive dialogue rather than exacerbate societal divisions is critical. Using an individualized a…
Towards Generalizable AI-Assisted Misinformation Inoculation: Protecting Confidence Against False Election Narratives
Mitchell Linegar, Betsy Sinclair, Sander van der Linden +1
We present a generalizable AI-assisted framework for rapidly generating effective "prebunking" interventions against misinformation. Like mRNA vaccine platforms, our approach uses…
Generative Language Models Exhibit Social Identity Biases
Tiancheng Hu, Yara Kyrychenko, Steve Rathje +3
The surge in popularity of large language models has given rise to concerns about biases that these models could learn from humans. We investigate whether ingroup solidarity and ou…