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cs.CR2024
Give and Take: An End-To-End Investigation of Giveaway Scam Conversion Rates
Enze Liu, George Kappos, Eric Mugnier +6
Scams -- fraudulent schemes designed to swindle money from victims -- have existed for as long as recorded history. However, the Internet's combination of low communication cost, g…
cs.CR2024
Supporting Human Raters with the Detection of Harmful Content using Large Language Models
Kurt Thomas, Patrick Gage Kelley, David Tao +7
In this paper, we explore the feasibility of leveraging large language models (LLMs) to automate or otherwise assist human raters with identifying harmful content including hate sp…