Instead of ordering content by popularity or recency, social networks are beginning to filter and surface posts based on emotional tone—as detected by sentiment analysis. Users may toggle a “positivity” filter to see uplifting content only, or a “serious tone” mode for thought-provoking topics.
This post explains how sentiment analysis models train on textual, visual, and audio cues to categorize emotion. It also discusses ethical implications, filter bubbles, and user experience design. Emotion-shaped feeds can let users tune social tone personally—and brands need to adapt messaging accordingly.
