IJSNM News: New accepted paper-Transformations in Social Media Content Production Lines Following the Adoption of AI-Generated Text and Images: Workflow Reconfiguration, Role Repositioning, and Media Differentiation

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Author: Prof. Dr. Chia-Sung Yen, National Chin-Yi University of Technology, Taiwan, Email: jsn1003@gmail.com

https://www.inderscience.com/ijsnm

This study situates itself in platform-based social media contexts and examines how the adoption of AI-generated texts and images reshapes content production workflows and professional roles, as well as how these changes relate to content credibility. Using a qualitative research design, we conducted in-depth interviews with six media and social media content practitioners and synthesized their experiences and judgments regarding copywriting, design, multimedia processing, and publication gatekeeping. The findings indicate that AI tools can enhance production efficiency and support rapid iteration, shifting the workflow from conventional “production” to a “generate–select–revise” mode. At the same time, AI-generated content amplifies the importance of verification and quality control, making editing and review more critical gatekeeping checkpoints. At the role level, design and copywriting work tends to move away from repetitive output toward more strategic judgment and the maintenance of professional standards.