Deep learning has emerged as a powerful tool in various domains, revolutionising machine
learning research. However, one persistent challenge is the scarcity of labelled training …

Twitter bot detection has become an increasingly important task to combat misinformation,
facilitate social media moderation, and preserve the integrity of the online discourse. State-of …

Online social networks (OSNs) are vital to people's daily lives. They offer free services that
allow people to connect and interact with family and friends, post comments and images …

Twitter bot detection is an important and challenging task. Existing bot detection measures
fail to address the challenge of community and disguise, falling short of detecting bots that …

Twitter bot detection has become an important and challenging task to combat
misinformation and protect the integrity of the online discourse. State-of-the-art approaches …

Social bot detection is of paramount importance to the resilience and security of online
social platforms. The state-of-the-art detection models are siloed and have largely …

Twitter bot detection has become a crucial task in efforts to combat online misinformation,
mitigate election interference, and curb malicious propaganda. However, advanced Twitter …

Accurate bot detection is necessary for the safety and integrity of online platforms. It is also
crucial for research on the influence of bots in elections, the spread of misinformation, and …

Research on social bot detection plays a crucial role in maintaining the order and reliability
of information dissemination while increasing trust in social interactions. The current …

The development of social media user stance detection and bot detection methods rely
heavily on large-scale and high-quality benchmarks. However, in addition to low annotation …