基于人工智能生成内容的档案微短剧数字叙事研究

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Abstract：Theresearch follows the logicof “Phenomenon description--Problem discoveryandanalysis--Practice improvement”，exploring the 2024，the narrative problem and artificial inteligence generated content of the Archivesmicro-dramas launched and updated by the comprehensive Archives above the deputy provincial level in our country enableits optimal path.In the first stage，Al deconstructsarchival miniseries，extracts8typesof structured data suchas landscape，and cariesout frequency statistics and cross-analysis with SPSsAU to refine the characteristics of narrative elements of archival miniseries，combined with grounded coding logic，micro-drama narrative and other theories，this paperreveals the problems and causes of archival micro-drama narative in time and space narrative，emotional narrative，scene narrative and interactive narrative，the introduction of AlGC technology for practicalimprovement providesa methodologicalreferenceforthe narrative optimizationof AlGC Archivesminiseriesunderdigital narrative.

Keywords： Digital Narrative;Spatio-temporal Narrative;Archives; Micro-drama;ArtificialInteligence;Al-generated Content; Immersive; Role Experience

1引言

1.1研究背景。（剩余16859字）