Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media

Understand

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.