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Demystifying misconceptions in social bots research
Research on social bots aims at advancing knowledge and providing solutions to one of the
most debated forms of online manipulation. Yet, social bot research is plagued by …
most debated forms of online manipulation. Yet, social bot research is plagued by …
Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers
AI Safety Moderation (ASM) classifiers are designed to moderate content on social media
platforms and to serve as guardrails that prevent Large Language Models (LLMs) from being …
platforms and to serve as guardrails that prevent Large Language Models (LLMs) from being …
Fp-inconsistent: Detecting evasive bots using browser fingerprint inconsistencies
As browser fingerprinting is increasingly being used for bot detection, bots have started
altering their fingerprints for evasion. We conduct the first large-scale evaluation of evasive …
altering their fingerprints for evasion. We conduct the first large-scale evaluation of evasive …