Why inventing new emotions feels so good

· Source: MIT Technology Review · Field: Science & Research — Social Sciences & Behavioral Studies, Health & Medical Research · Depth: Intermediate, short

Summary

The concept of "neo-emotions" is gaining traction online, describing new dimensions of human feeling, as exemplified by terms like "velvetmist," a ChatGPT-generated emotion, or human-coined terms such as "Black joy," "trans euphoria," and "eco-anxiety." This phenomenon reflects a significant shift in emotion science, moving away from the long-held belief in a universal set of basic emotions. Researchers like Lisa Feldman Barrett argue that emotional experiences and their linguistic descriptions are culturally determined and continuously evolving. Sociologist Marci Cottingham highlights that these new emotion terms, often proliferated online, serve as practical resources for individuals to navigate and make sense of their experiences, fostering connection and reflection. Developing a richer emotional vocabulary, or "emodiversity," is linked to improved health outcomes and better stress management.

Key takeaway

For AI Scientists exploring human-AI interaction or natural language processing, understanding the emergence of neo-emotions is crucial. This shift underscores the dynamic, culturally-dependent nature of emotional expression, challenging static emotion models. Your work should consider incorporating evolving emotional lexicons and the potential for AI to both generate and help categorize these new feelings, moving beyond a fixed set of "basic" emotions to better reflect human experience.

Key insights

New emotion terms, or neo-emotions, are emerging online, reflecting evolving cultural experiences and challenging fixed views of basic human feelings.

Principles

Method

Developing "emodiversity" involves using more detailed and specific words to describe emotions, a skill that can be cultivated through training at any age.

In practice

Topics

Best for: AI Scientist, General Interest, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by MIT Technology Review.