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 …

Social engineering (SE) attacks remain a significant threat to both individuals and
organizations. The advancement of Artificial Intelligence (AI), including diffusion models and …

While social bots can be used for various good causes, they can also be utilized to
manipulate people and spread malware. Therefore, it is crucial to detect bots running on …

We present and analyze a database of 1.13 million public Instagram posts during the Black
Lives Matter protests of 2020, which erupted in response to George Floyd's public murder by …

Using more than 4 billion tweets and labels on more than 5 million users, this paper
compares the behavior of humans and bots politically and semantically during the …

Message passing neural networks such as graph convolutional networks (GCN) can jointly
consider various types of features for social bot detection. However, the expressive power of …

The COVID-19 pandemic of 2021 led to a worldwide health crisis that was accompanied by
an infodemic. A group of 12 social media personalities, dubbed the “Disinformation Dozen” …

Coordinated groups of user accounts working together in online social media can be used to
manipulate the online discourse and thus is an important area of study. In this study, we …

The Special Issue on Trust and Safety on Social Media delves into two pressing and
interlinked concerns: the growing prevalence of anti-social behavior and the widespread …

Following the invasion of Ukraine, the USA, UK, and EU governments–among others–
sanctioned oligarchs close to Putin. This approach has come under scrutiny, as evidence …