Content Creation by Generative AI and Operator Perception A Focus on Operator's Profit-driven Motivation

In recent years, the widespread adoption of generative AI, exemplified by platforms like ChatGPT and Google Bard, has made AI more approachable. This technology allows users to create content seamlessly through prompt inputs, eliminating the need for specialized skills. However, prevailing research indicates a general tendency among individuals to express negative sentiments toward AI-generated content, often attributed to the perceived absence of intentionality in AI. Despite this, contemporary generative AI, an integral part of our daily lives, inherently involves human operators. By explicitly recognizing the human inputting prompts, there exists a potential for perceiving the operator's intentionality. This raises the question of whether the evaluation of AI-generated content might undergo a shift if such intentionality is discerned. This study delves into the investigation of operator intentionality perception. In Study 1, we explore how content evaluation varies when indicating whether it was generated by AI. Study 2 investigates the perception of the profit-driven motives of content creators when AI is utilized in the creation process compared to when it is not.