Earticle

초록

영어

The affective-interactive functions of AI companionship have become an increasingly central component of platform-based content provision. This study examines how such continuous and stable forms of content output are produced, organized, and sustained at the industrial level. Drawing on emotional labor theory, it analyzes two Chinese AI models: Doubao and Tongyi Qianwen to explore how emotions are structured as labor through linguistic construction, functional design, and disclaimer mechanisms. The findings show that both models create relatively stable emotional spaces via narrative strategies and continuous interaction, enabling users’ emotions to be persistently engaged and managed. Simultaneously, disclaimer rules institutionally decouple emotional responses from their potential psychological or social consequences, externalizing responsibility and risk. As a result, AI-mediated emotional interaction is organized as a form of labor space embedded within platform governance and the logic of the content industry.

목차

Abstract
I. Introduction
II. Methods and Materials
1. Research Materials and Textual Sources
2. Scope and Delimitation
III. Linguistic Construction of AI Companionship
1. Doubao’s Weak-Context Strategy
2. Strong Affective Identity in Tongyi Qianwen
IV. AI Companionship as an Emotional Labor Mechanism within the Content Industry
V. Conclusion
Reference

키워드

저자

• Wang, Enze [ Ph. D. Student, Interdisciplinary Program of East Asian Studies, The Institute of East Asian Affairs, Chonnam National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  콘텐츠와산업 [Journal of Contents and Industry]

• 간기

  격월간

• pISSN

  2765-317X

• 수록기간

  2019~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 600 DDC 700