Social media platforms such as Instagram and Twitter have emerged as critical channels for drug marketing and illegal sale. Detecting and labeling online illicit drug trafficking activities becomes important in addressing this issue. However, the effectiveness of conventional supervised learning methods in detecting drug trafficking heavily relies on having access to substantial amounts of labeled data, while data annotation is time-consuming and resource-intensive. Furthermore, these models often face challenges in accurately identifying trafficking activities when drug dealers use deceptive language and euphemisms to avoid detection. To overcome this limitation, we conduct the first systematic study on leveraging large language models (LLMs), such as ChatGPT, to detect illicit drug trafficking activities on social media. We propose an analytical framework to compose \emph{knowledge-informed prompts}, which serve as the interface that humans can interact with and use LLMs to perform the detection task. Additionally, we design a Monte Carlo dropout based prompt optimization method to further to improve performance and interpretability. Our experimental findings demonstrate that the proposed framework outperforms other baseline language models in terms of drug trafficking detection accuracy, showing a remarkable improvement of nearly 12\%. By integrating prior knowledge and the proposed prompts, ChatGPT can effectively identify and label drug trafficking activities on social networks, even in the presence of deceptive language and euphemisms used by drug dealers to evade detection. The implications of our research extend to social networks, emphasizing the importance of incorporating prior knowledge and scenario-based prompts into analytical tools to improve online security and public safety.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The Polk County Sheriff's Office in Florida on Thursday announced charges against 68 suspected drug dealers as part of an undercover operation using social media and dating apps. The six-month operation dubbed "Swipe Left for Meth" -- a play on Grindr and other dating apps that require users to "swipe" through scores of potential dates in their area -- concluded in the arrests of 60 individuals and securement of eight arrest warrants for individuals still at-large related to drug sales or possession. "We've known for some time that suspects will use the internet and social media to prey upon children online, or to engage in prostitution, but this is something we are seeing more and more of in Polk County -- suspects who are using dating apps to sell illegal narcotics," Polk County Sheriff Grady Judd said in a statement." Suspects are getting more creative, but so are our detectives."

David Eagleman, 50, is an American neuroscientist, bestselling author and presenter of the BBC series The Brain, as well as co-founder and chief executive officer of Neosensory, which develops devices for sensory substitution. His area of speciality is brain plasticity, and that is the subject of his new book, Livewired, which examines how experience refashions the brain, and shows that it is a much more adaptable organ than previously thought. For the past half-century or more the brain has been spoken of in terms of a computer. What are the biggest flaws with that particular model? But in fact, what we're looking at is three pounds of material in our skulls that is essentially a very alien kind of material to us.

Have you ever looked in your rear-view mirror and watched anxiously as a police car came up behind you? I'd dare say that most of us dread such a moment. It does not necessarily mean that you are a criminal or have done anything wrong. It's the notion that the police officer can potentially pull you over, referred to as a traffic stop, which gets us nervous and on-edge. Am I doing anything wrong in my driving, you right away begin to ponder. Is there anything about my car that might spark a traffic stop, you contemplate as your mind races trying to ascertain whether you are going to get pulled over or not. If the police car opts to go around you, it usually brings you a sense of momentary relief. Thank goodness, avoided getting stopped. For some drivers, once they realize that a police car is directly behind them, they will opt to switch lanes in hopes that the police car will merely go alongside and no longer sit behind their car. I know a few drivers that the minute they spot a police car even many cars behind them, they will right away try to maneuver into a lane that will keep them from perchance having the cops directly on their tail. Why do police perform these ad hoc traffic stops? In theory, the traffic stop is intended to ensure the safety of the roadways. If you are driving in a dangerous fashion, it seems sensible that having you pulled to the side of the road might prevent you from ramming into another car or running over a pedestrian. If your car is exhibiting some adverse condition and not fully safely drivable, suppose your exhaust pipe is hanging onto the ground and dragging along, this can create a traffic hazard for you and for other cars nearby. Probably handy to have a traffic stop to inform you about the matter and make sure that you are aware of it and take care of it.

New York state's top cops want to use machine-learning algorithms to detect drug dealers on social media networks like Instagram, a trend that "has become a severe problem in recent years," according to researchers from the University of Rochester and the New York Attorney General's office. Using social media to sell drugs began years ago and continues to this day. Newer networks like Tinder have become especially popular with drug dealers because they offer both sellers and customers a deal in close proximity. All of the networks rely on manual user reports to remove the illegal content in what has largely been a losing battle. The New York Attorney General's office co-authored new research on algorithms meant to examine millions of Instagram posts, spotlight drug dealers, and only then pass the suspects on to human officers for further investigation.