Scientists at the University of Vermont have identified a fundamental pattern in human language that contradicts conventional understanding dating back to the 1950s. The traditional framework for analyzing word meaning, known as the VAD model, has long emphasized three emotional dimensions: valence, arousal, and dominance. However, researchers conducting an analysis of billions of word uses across diverse texts have proposed an alternative structure based on three different dimensions: power, danger, and structure.
The new mathematical approach, termed “ousiometrics,” demonstrated substantially improved performance compared to the established model. The revised framework accounted for more than 90% of variation in word meaning, surpassing the traditional VAD model’s 72% accuracy. The research, supported by the National Science Foundation and other funding organizations, was published in Science Advances.
A particularly notable finding concerns a widespread preference for safety-related language across all forms of human communication, including books, news, social media, and spoken conversation. Researchers propose that this pattern, previously attributed to a general preference for positive emotional expressions known as the Pollyanna principle, may actually reflect a deeper safety bias. The team suggests that fundamental human linguistic structures may be oriented toward distinguishing between threats and security rather than simply conveying emotional states.
The implications extend to artificial intelligence development and content analysis. Current systems often rely on sentiment analysis and emotional frameworks to interpret language. If these systems operate from an incomplete theoretical foundation, they may miss important dimensions of human communication. Incorporating the newly identified dimensions could enhance how AI models analyze language related to trust, risk assessment, and decision-making processes.
The findings also raise broader questions about the origins of linguistic patterns. Researchers hypothesize that the prominence of safety-related distinctions in language may reflect evolutionary pressures tied to human survival, though the study does not definitively establish this causal relationship. The discovery could influence how researchers in psychology, neuroscience, and linguistics interpret existing data and conduct future studies on human communication and behavior.
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