Audience in the Loop: Viewer Feedback-Driven Content Creation in Micro-drama Production on Social Media

2026-02-15

AI Summary

This study addresses the limited systematic understanding among micro-drama creators regarding real-time audience feedback-driven production in fast-paced social media environments. Through semi-structured interviews with 28 screenwriters and content analysis, it reveals how creators rapidly iterate narratives by integrating multiple roles and dynamically adapting storylines based on audience interactions such as comments, shares, and meme generation. The research proposes an “audience-in-the-loop” creation paradigm, conceptualizing audience interaction as a novel co-creative mechanism. It further identifies emerging narrative styles, including AI-generated and responsive micro-dramas. These findings offer both empirical evidence and a theoretical framework for understanding human-AI collaboration and participatory content production in digital storytelling contexts.

Technology Category

• Humans and AI: Game Design — Procedural Content Generation & Storytelling
• Application Domains: Humanities & Computational Social Science
• Cognitive Modeling & Cognitive Systems: Social Cognition And Interaction

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Web Mining and Content Analysis: Content-based information diffusion
• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI

Abstract

The popularization of social media has led to increasing consumption of narrative content in byte-sized formats. Such micro-dramas contain fast-pace action and emotional cliffs, particularly attractive to emerging Chinese markets in platforms like Douyin and Kuaishou. Content writers for micro-dramas must adapt to fast-pace, audience-directed workflows, but previous research has focused instead on examining writers'experiences of platform affordances or their perceptions of platform bias, rather than the step-by-step processes through which they actually write and iterative content. In 28 semi-structured interviews with scriptwriters and writers specialized in micro-dramas, we found that the short-turn-around workflow leads to writers taking on multiple roles simultaneously, iteratively adapting to storylines in response to real-time audience feedback in the form of comments, reposts, and memes. We identified unique narrative styles such as AI-generated micro-dramas and audience-responsive micro-dramas. This work reveals audience interaction as a new paradigm for collaborative creative processes on social media.

Problem

• micro-drama
• audience feedback
• content creation
• social media
• narrative style

Innovation

• audience-in-the-loop
• micro-drama
• real-time feedback
• collaborative creativity
• AI-generated narrative