📢 Gate Square Exclusive: #WXTM Creative Contest# Is Now Live!
Celebrate CandyDrop Round 59 featuring MinoTari (WXTM) — compete for a 70,000 WXTM prize pool!
🎯 About MinoTari (WXTM)
Tari is a Rust-based blockchain protocol centered around digital assets.
It empowers creators to build new types of digital experiences and narratives.
With Tari, digitally scarce assets—like collectibles or in-game items—unlock new business opportunities for creators.
🎨 Event Period:
Aug 7, 2025, 09:00 – Aug 12, 2025, 16:00 (UTC)
📌 How to Participate:
Post original content on Gate Square related to WXTM or its
Developed artificial intelligence to detect crypto fraudsters
A team at San Diego State University in the USA has developed an artificial intelligence system to discover and expose crypto scams in X.
The interest in cryptocurrencies and the money entering the sector bring negativities through the back door. Many scams are stuck to the back of the crypto industry. Especially social media platforms have become the center of grievances in this regard.
An artificial intelligence system developed at San Diego State University in the USA exposes crypto scams. Targeting X (Twitter), the most widely used in the crypto industry, artificial intelligence discovered 95,111 scam lists composed of 87,617 accounts.
Artificial intelligence system developed in the USA against crypto fraud
Researchers from San Diego State University in California have developed an artificial intelligence system for X, formerly Twitter. This system discovers, monitors and exposes crypto scams on the platform.
The artificial intelligence system called GiveawayScamHunter drew attention to 87,617 accounts that appeared on the X platform between June 2022 and June 2023. 95,111 scam lists were discovered from these accounts.
The research team looked at previously identified giveaway scams to determine which listing was involved in sweepstakes scams. Working in the light of this data, the system found approximately 100,000 gift scam lists. Based on the data, the research team learned about fraudulent websites and crypto wallets.
The following statement was included in the report;
“Following the transactions of fraudulent cryptocurrency addresses, this study concludes that more than 365 victims were hacked by the fraudsters, resulting in an estimated $872,000 loss.”
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