Social media sentiment is typically measured using various tools and techniques that analyze text data from social media platforms. These tools use natural language processing (NLP) and machine learning algorithms to identify and categorize sentiments expressed in posts, comments, and reviews. Platforms like Twitter, Facebook, and Instagram are commonly used for sentiment analysis as they offer a rich source of real-time user-generated content.