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Cryptocurrencies represent one of the most attractive markets for financial. As a consequence, they have attracted unprecedented attention on media. Besides genuine discussions and legitimate investment, several deceptive activities have flourished. In this work, we the online cryptocurrency landscape across multiple platforms. To reach goal, we collected a large dataset, composed of more than 50M messages by almost 7M users on Twitter, Telegram and Discord, over three. We performed bot detection on Twitter accounts sharing invite links to and Discord channels, and we discovered that more than 56% of them bots or suspended accounts. Then, we applied topic modeling techniques to and Discord messages, unveiling two different deception schemes -"pump-and-dump" and "Ponzi" - and identifying the channels involved in these. Whereas on Discord we found a negligible level of deception, on we retrieved 296 channels involved in pump-and-dump and 432 involved Ponzi schemes, accounting for a striking 20% of the total. Moreover, we that 93% of the invite links shared by Twitter bots point to Telegram-and-dump channels, shedding light on a little-known social bot activity. the landscape of online cryptocurrency manipulation can inform policies to fight such abuse.
Nizzoli et al. (Wed,) studied this question.
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