<![CDATA[The rapid advancement of artificial intelligence in media production has introduced algorithmic scriptwriting as a transformative approach in narrative broadcasting, raising concerns about whether automated content generation can maintain the depth of human emotional resonance traditionally embedded in storytelling. This study aims to examine how algorithmic scriptwriting systems influence the preservation of emotional authenticity and narrative engagement within broadcasting content while exploring the balance between computational efficiency and human-centered storytelling values. To achieve this, the research employs a mixed-method approach that combines qualitative narrative analysis and quantitative audience perception evaluation, involving comparative assessment between algorithm-generated scripts and human-written scripts within selected broadcasting scenarios. The findings indicate that algorithmic scriptwriting can effectively structure narrative flow and optimize production efficiency, however, scripts developed through purely algorithmic processes tend to exhibit limitations in conveying nuanced emotional layers, empathy, and contextual cultural expression. Nevertheless, the integration of human editorial intervention and emotional modeling techniques significantly enhances the perceived authenticity and emotional engagement of algorithm-assisted narratives. Therefore, this study concludes that algorithmic scriptwriting should not be positioned as a replacement for human creativity but rather as a collaborative tool that augments the creative process, where human oversight remains essential to preserve emotional resonance and narrative depth in broadcasting practices.]]>
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