Abstract Machines powered by artificial intelligence increasingly mediate our social, cultural,
economic and political interactions. Understanding the behaviour of artificial intelligence …

We present a comprehensive overview of the challenges and opportunities in social bot
detection in the context of the rise of sophisticated AI-based chatbots. By examining the state …

Complex networks have been successfully used to describe the spread of diseases in
populations of interacting individuals. Conversely, pairwise interactions are often not …

Recent accounts from researchers, journalists, as well as federal investigators, reached a
unanimous conclusion: social media are systematically exploited to manipulate and alter …

The problem of detecting bots, automated social media accounts governed by software but
disguising as human users, has strong implications. For example, bots have been used to …

The increased relevance of social media in our daily life has been accompanied by efforts to
manipulate online conversations and opinions. Deceptive social bots—automated or semi …

Until recently, social media was seen to promote democratic discourse on social and
political issues. However, this powerful communication platform has come under scrutiny for …

Simplicial complexes describe the simple fact that in social networks a link can connect
more than two individuals. As we show here, this has far-reaching consequences for …

Can targeting information to network-central farmers induce more adoption of a new
agricultural technology? By combining social network data and a field experiment in 200 …

Vaccine hesitancy is currently recognized by the WHO as a major threat to global health.
Recently, especially during the COVID-19 pandemic, there has been a growing interest in …