One of today's most controversial and consequential issues is whether the global uptake of
digital media is causally related to a decline in democracy. We conducted a systematic …

Large language models (LLMs) undergo 'alignment'so that they better reflect human values
or preferences, and are safer or more useful. However, alignment is intrinsically difficult …

Language models (LMs) are becoming the foundation for almost all major language
technologies, but their capabilities, limitations, and risks are not well understood. We present …

Responsible innovation on large-scale Language Models (LMs) requires foresight into and
in-depth understanding of the risks these models may pose. This paper develops a …

There has been growing concern about the role social media plays in political polarization.
We investigated whether out-group animosity was particularly successful at generating …

This is an open access book. This book offers the first overview of the 'wicked problems'
literature, often seen as complex, open-ended, and intractable, with both the nature of the …

Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …

The spread of misinformation, including “fake news,” propaganda, and conspiracy theories,
represents a serious threat to society, as it has the potential to alter beliefs, behavior, and …

We offer comprehensive evidence of preferences for ideological congruity when people
engage with politicians, pundits, and news organizations on social media. Using 4 years of …

Human social learning is increasingly occurring on online social platforms, such as Twitter,
Facebook, and TikTok. On these platforms, algorithms exploit existing social-learning biases …