The rumor tactics in the crypto market are continually upgrading.
For example, forged exchange screenshots and impersonating senior executives of project parties, @rumour.app 's AI algorithm continuously enhances its response capabilities through 'real-time learning + scenario adaptation.'
The algorithm analyzes over 100,000 historical rumor data each month, summarizing new pattern features such as recent trends, forged on-chain transaction records suggesting cooperation, and updating the identification model; meanwhile, addressing different types of rumors.
Just like the rumors mentioned above, rumors about technical vulnerabilities, and rumors about team changes, set up a dedicated identification dimension - for example, when identifying 'rumors mentioned above,' focus on comparing the pending listing list of the exchange's official API; when identifying 'technical vulnerability rumors,' connect to the vulnerability database of blockchain security companies.
Recently, a rumor fabricated "Coinbase official website screenshot shows a certain token is about to go online", @trade_rumour's AI determined it to be false within 5 minutes by comparing the real HTML structure of the official website and checking for PS traces in the screenshot. Currently, the algorithm's response time for identifying new types of rumors has been reduced from the initial 30 minutes to 5 minutes, with an accuracy rate maintained at over 90%#Traderumou $ALT
