How Health Insurers Score Your Social Media Comments

Episode 110 of Services Economy with Fexingo. Lucas and Luna uncover a new frontier in health insurance data mining: the language you use in public social media comments. They explain how insurers are using natural language processing to score individuals based on sentiment, vocabulary, and even emoji usage, and what this means for premiums and privacy. The hosts discuss the specific findings from a 2025 study by researchers at Carnegie Mellon that showed comment sentiment on Reddit and Twitter can predict chronic condition risk with surprising accuracy. They explore the ethical implications, the lack of regulation, and how consumers can protect themselves. A must-listen for anyone concerned about the future of health insurance and data privacy. #HealthInsurance #DataMining #SocialMedia #NLP #SentimentAnalysis #Privacy #CarnegieMellon #Reddit #Twitter #InsuranceScoring #ChronicDisease #PremiumHikes #Economics #ServicesEconomy #FexingoBusiness #BusinessPodcast #ConsumerProtection #Ethics Keep every episode free: buymeacoffee.com/fexingo