The ecosystem of cryptocurrencies has grown and changed significantly since Bitcoin's inception in 2008. This expansion, however, has opened opportunities for cybercriminals, leading to an increase in cryptocurrency-related scams. Although extensive research has been carried out in relation to this type of scam, there is limited research that analyses the textual content from online forums and social media to identify cryptocurrency investment scams at scale in an automated manner. This talk presents applications of machine learning models to detect cryptocurrency investment scams through the analysis of textual conversations, offering insights into the evolution of scam luring tactics and the monetary impact these fraudulent schemes have in society.
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