Earticle

초록

영어

This study analyzes the correlation between the generative architecture of the slop phenomenon and the resulting cognitive aversion. This phenomenon has emerged through the proliferation of generative artificial intelligence and the revenue models of digital platforms. Slop refers to low-quality synthetic media mass-produced by diffusion models for the purpose of algorithmic reward. These materials generally lack meticulous planning or coherent aesthetic intent. This paper investigates the visual artifacts and perceptual inconsistencies arising from the probabilistic computation and black box nature of AI models. It interprets the roots of the cognitive discomfort and disgust responses elicited by such content through the frameworks of cognitive and evolutionary psychology, including the Uncanny Valley, the disease avoidance mechanism, and the effort heuristic. Functioning as residual noise within the digital information ecosystem, slop raises concerns regarding content quality and epistemological reliability. This study suggests the necessity of technical filtering, institutional governance, and the cultivation of critical literacy. This research interprets the slop phenomenon as a byproduct of a technical transition period and a data-driven experimental stage in the evolution of intelligent media. It provides a multifaceted perspective that defines slop as systemic noise that may threaten the long-term sustainability of the information ecosystem.

목차

Abstract
1. Introduction
2. Theoretical Background
3. Research Methodology
4. Analytical Results
4.1 Probabilistic Generative Architecture and Black-Box Limitations
4.2 Lack of Temporal Consistency and Visual Artifacts
4.3 Economic Incentive Systems and Algorithmic Optimization Strategies
4.4 Cognitive Basis of Disgust and Uncanny Valley Mechanisms
5. Discussion
5.1 Devastation of the Information Ecosystem and Model Collapse
5.2 Regression of Cognitive Function and Inattentive Speech
5.3 Platform Responsibility and Ethical Governance
5.4 Inevitability of Technical Transition and Positive Potential
6. Conclusion and Suggestions
References

키워드

저자

• Jong-Guk Kim [ Professor, BaekSeok University, Division of Culture & Arts, Dongnam-gu, Cheonan-si, Chungnam ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005