Generative artificial intelligence and machine learning methods to screen social media content

• Published in: PeerJ. Computer science Vol. 11; p. e2710
• Main Authors: Sharp, Kellen, Ouellette, Rachel R., Singh, Rujula Singh Rajendra, DeVito, Elise E., Kamdar, Neil, de la Noval, Amanda, Murthy, Dhiraj, Kong, Grace
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 14.03.2025; PeerJ Inc
• Subjects: Analysis; Artificial Intelligence; ChatGPT; Computational linguistics; Computer Vision; Data Mining and Machine Learning; e-cigarette; Electronic cigarettes; ENDS; Generative AI; Language processing; Machine learning; Methods; Multimedia; Natural language interfaces; Network Science and Online Social Networks; Social media; Social networks; United States; Pregnancy; Computer vision; Vaping; Generative AI; ChatGPT; Social media; Machine learning; ENDS; e-cigarette; TikTok

Social media research is confronted by the expansive and constantly evolving nature of social media data. Hashtags and keywords are frequently used to identify content related to a specific topic, but these search strategies often result in large numbers of irrelevant results. Therefore, methods are...