Identifying and Analyzing Cryptocurrency Manipulations in Social Media

Interest surrounding cryptocurrencies, digital or virtual currencies that are used as a medium for financial transactions, has grown tremendously in the recent years. The anonymity these makes investors particularly susceptible to fraudity-such “pump and dump” scams-where goal is artificially inflate perceived worth of currency, luring victims into investing before fraudsters can sell their holdings. Because speed relative offered by social platforms such Twitter Telegram, media become preferred platform scammers who wish spread false hype about cryptocurrency they trying pump. In this work, we propose evaluate computational approach automatically identify pump dump scams unfold combining information across platforms. We also develop multi-modal predicting whether particular attempt will succeed not. Finally, analyze prevalence bots related tweets, observe significant increase bot activity during attempts.