The baseline model was applied directly to the labeled data (Table 3) and evaluated using 10-fold cross-validation. We also applied the MALLET topic modeling toolkit (package cc.mallet.topics MALLET’s class in JavaDoc API) on the same data set to predict the type of topic. The review detection model yielded a mean precision of 81.5% and an average recall of 80.1%, whereas for the promotion detection model, it yielded a mean precision of 88.1% and an average recall of 85.1% (Table 4). We manually investigated the results by randomly sampling 10% of data records during each iteration and adding false positive samples into the unlabeled set.
FTC Payments Enforcement Trends: Key Takeaways For Payment Service Providers
Among those arrested were the operators behind the dark web username “MH4Life,” which the Department of Justice called the most prolific dark web fentanyl vendor in the US and the fourth most prolific in the world. “Australia’s resistance to opening more drug checking facilities stems from an assumption that drug checking ‘green lights’ drug use,” Barratt said. While drug checking services have been operating around the world for over 50 years, Barratt said Australia remained resistant to expanding the harm reduction service. Either way, the Test4Pay dark web cryptomarket is not a problem anymore as it is now defunct, although others do typically arise when one shuts down. By paying close attention to where adulterated substances were purchased, local drug checking services can help participants make more informed decisions to protect their health.
