Large language models (LLMs) powered conversational search systems have already been
used by hundreds of millions of people, and are believed to bring many benefits over …

The recent serious cases of spreading false information have posed a significant threat to
the social stability and even national security, urgently requiring all circles to respond …

Society is often polarized by controversial issues that split the population into groups with
opposing views. When such issues emerge on social media, we often observe the creation …

Misinformation and fact-checking are opposite forces in the news environment: the former
creates inaccuracies to mislead people, while the latter provides evidence to rebut the …

Algorithms influence most of our daily activities, decisions, and they guide our behaviors. It
has been argued that algorithms even have a direct impact on democratic societies. Human …

The rise of social media and online social networks has been a disruptive force in society.
Opinions are increasingly shaped by interactions on online social media, and social …

Growing concern about the democratic impact of automatically curated news platforms urges
us to reconsider how such platforms should be designed. We propose a theoretical …

During online information search, users tend to select search results that confirm previous
beliefs and ignore competing possibilities. This systematic pattern in human behavior is …

Signed networks contain edge annotations to indicate whether each interaction is friendly
(positive edge) or antagonistic (negative edge). The model is simple but powerful and it can …

While social media has the potential to disseminate extensive travel-related information, it
may also inadvertently restrict exposure to diverse perspectives, leading to the prevalence of …