Core Concepts
Overcoming biases and misconceptions in social bots research is crucial for ensuring reliable solutions and advancing the field responsibly.
Stats
"Research on social bots aims at advancing knowledge and providing solutions to one of the most debated forms of online manipulation."
"Social bot research is plagued by widespread biases, hyped results, and misconceptions."
"Social bot detection is a critical and increasingly challenging task in the realm of online safety and cybersecurity."
"Information leakage in machine learning refers to situations where a model is exposed to confidential information from the training data."
"Cherry-picking competitors and evaluation scenarios allows proponents of a novel detector to demonstrate its superiority."
"The lack of access to fresh social media data severely hampers researchers’ ability to monitor bot activities and assess their influence in real time."
Quotes
"Overcoming such issues is instrumental towards ensuring reliable solutions and reaffirming the validity of the scientific method."
"The present study concerns one of the many forms of online disinformation: malicious social bots."
"The science of misinformation seeks solutions to these problems."