Information theory explains how communication works at a structural level, independent of content. Developed by Claude Shannon, it introduced entropy as a way to measure uncertainty and information density. The field addresses compression, error correction, and secure transmission. While authors like Yuval Noah Harari use the term more broadly as a cultural metaphor, its technical core remains about transmission, not meaning, a crucial distinction in clear reasoning.