论文标题
绘制在线加密货币操纵的景观
Charting the Landscape of Online Cryptocurrency Manipulation
论文作者
论文摘要
加密货币代表了财务投机最有吸引力的市场之一。结果,他们在社交媒体上吸引了前所未有的关注。除了真正的讨论和合法的投资计划外,一些欺骗性的活动蓬勃发展。在这项工作中,我们跨多个平台绘制了在线加密货币景观。为了实现我们的目标,我们收集了一个大型数据集,该数据集由近700m用户在Twitter,Telegram和Discord上发布的超过5000万消息组成,在三个月内。我们在Twitter帐户上执行了机器人检测,共享了邀请链接到电报和不和谐频道,我们发现其中超过56%的是机器人或吊销帐户。然后,我们将主题建模技术应用于电报和不和谐消息,揭示了两个不同的欺骗方案 - “泵送”和“庞氏骗局”,并识别这些欺诈行为所涉及的渠道。尽管在不和谐中,我们发现欺骗的水平可以忽略不计,但在电报上,我们检索了296个涉及泵和降点的频道,而参与庞氏骗局方案的432个渠道占了总数的20%。此外,我们观察到,Twitter机器人共享的邀请链接中有93%指向电报泵送通道,从而阐明了鲜为人知的社交机器人活动。绘制在线加密货币操纵的景观可以为可行的政策提供抗击以与这种虐待作斗争。
Cryptocurrencies represent one of the most attractive markets for financial speculation. As a consequence, they have attracted unprecedented attention on social media. Besides genuine discussions and legitimate investment initiatives, several deceptive activities have flourished. In this work, we chart the online cryptocurrency landscape across multiple platforms. To reach our goal, we collected a large dataset, composed of more than 50M messages published by almost 7M users on Twitter, Telegram and Discord, over three months. We performed bot detection on Twitter accounts sharing invite links to Telegram and Discord channels, and we discovered that more than 56% of them were bots or suspended accounts. Then, we applied topic modeling techniques to Telegram and Discord messages, unveiling two different deception schemes - "pump-and-dump" and "Ponzi" - and identifying the channels involved in these frauds. Whereas on Discord we found a negligible level of deception, on Telegram we retrieved 296 channels involved in pump-and-dump and 432 involved in Ponzi schemes, accounting for a striking 20% of the total. Moreover, we observed that 93% of the invite links shared by Twitter bots point to Telegram pump-and-dump channels, shedding light on a little-known social bot activity. Charting the landscape of online cryptocurrency manipulation can inform actionable policies to fight such abuse.