{"id":21077,"date":"2023-08-11T21:18:44","date_gmt":"2023-08-11T21:18:44","guid":{"rendered":"https:\/\/nftandcrypto-news.com\/crypto\/scientists-used-ai-to-find-and-track-95k-cryptocurrency-free-giveaway-scams-on-twitter\/"},"modified":"2023-08-11T21:18:46","modified_gmt":"2023-08-11T21:18:46","slug":"scientists-used-ai-to-find-and-track-95k-cryptocurrency-free-giveaway-scams-on-twitter","status":"publish","type":"post","link":"https:\/\/nftandcrypto-news.com\/crypto\/scientists-used-ai-to-find-and-track-95k-cryptocurrency-free-giveaway-scams-on-twitter\/","title":{"rendered":"Scientists used AI to find and track 95K \u2018cryptocurrency free giveaway\u2019 scams on Twitter"},"content":{"rendered":"
Researchers from San Diego State University in California developed an artificial intelligence (AI) system to identify, track and expose free cryptocurrency giveaway scams on X (formerly Twitter).\u00a0<\/p>\n
Called GiveawayScamHunter, the automated system discovered 95,111 scam lists between June 2022 and June 2023 that were created from 87,617 accounts on the X social network. <\/p>\n
The researchers used the tool to autonomously extract website and wallet addresses associated with the scams. In doing so, they were able to collect 327 scam giveaway internet domains and 121 new scam-related cryptocurrency wallet addresses. <\/p>\n
Related: <\/em><\/strong>Blockchain Capital\u2019s X account hacked to promote token claim scam<\/em><\/strong><\/p>\n The first step to approaching the problem involved identifying a new vector of attack for cryptocurrency giveaway scams: Twitter Lists. Due to the permissionless nature of the Lists feature on the social network, it presents a simple networking tool for scammers to exploit.<\/p>\n To determine which lists dealt with giveaway scams, the team trained a natural language processing tool on data from previously identified giveaway scams. <\/p>\n