THE ROLE OF ARTIFICIAL INTELLIGENCE IN STORYTELLING AND CONTENT CREATION: A FOCUS ON COPYWRITING

This research paper examines artificial intelligence’s (AI) transformative impact on storytelling, content creation, and copywriting, addressing critical gaps in understanding AI’s creative limitations, audience perception, and evolutionary trajectory. It employs a mixed-method approach, the research combines a systematic literature review, blind testing with 100 participants, and comparative textual analysis to evaluate three objectives: (1) AI’s historical development in copywriting, (2) reader ability to distinguish AI-generated content, and (3) originality and creativity comparisons between human and AI outputs. The findings reveal that AI has evolved from rule-based automation to advanced generative models- ChatGPT, Copy.ai, Copilot, and DeepSeek. It achieves structural coherence but struggles with emotional depth. Blind tests demonstrated that readers correctly identified only 50% of AI-generated taglines and 60% of human-written ones, with generic or overly simplistic phrases causing frequent misattribution. The comparative analysis showed AI-generated content scored marginally higher in perceived originality (mean=3.2 vs. 3.0) but matched human creativity (mean=2.9 vs. 2.8), indicating minimal qualitative gaps in moderated creativity. The study highlights AI’s efficacy in scalable, data-driven tasks but underscores persistent challenges in authenticity, cultural nuance, and emotional resonance. The practical implications include strategies for content teams to integrate AI as a collaborative tool, recommendations for educators to balance technical and creative pedagogy, and policy frameworks to address ethical concerns. The limitations include sample bias toward marketing professionals and rapid technological advancements potentially altering AI’s creative benchmarks. By filling research gaps in how people spot AI content and judge its creativity, this study offers new ideas about AI working as a helper, not rival, in storytelling. It pushes for teamwork between humans and AI, using AI’s speed but keeping human creativity.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-05-18
DOI
https://doi.org/10.36948/ijfmr.2025.v07i03.45070
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
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article

THE ROLE OF ARTIFICIAL INTELLIGENCE IN STORYTELLING AND CONTENT CREATION: A FOCUS ON COPYWRITING

Malay Sarkar, Prakriti Roy, Shagufa Ara, Rida Yunus et al.
International Journal For Multidisciplinary Research
Artificial Intelligence Applications
article

THE ROLE OF ARTIFICIAL INTELLIGENCE IN STORYTELLING AND CONTENT CREATION: A FOCUS ON COPYWRITING

Malay Sarkar, Prakriti Roy, Shagufa Ara, Rida Yunus, Bhargavi Hemmige
article en

Abstract

This research paper examines artificial intelligence’s (AI) transformative impact on storytelling, content creation, and copywriting, addressing critical gaps in understanding AI’s creative limitations, audience perception, and evolutionary trajectory. It employs a mixed-method approach, the research combines a systematic literature review, blind testing with 100 participants, and comparative textual analysis to evaluate three objectives: (1) AI’s historical development in copywriting, (2) reader ability to distinguish AI-generated content, and (3) originality and creativity comparisons between human and AI outputs. The findings reveal that AI has evolved from rule-based automation to advanced generative models- ChatGPT, Copy.ai, Copilot, and DeepSeek. It achieves structural coherence but struggles with emotional depth. Blind tests demonstrated that readers correctly identified only 50% of AI-generated taglines and 60% of human-written ones, with generic or overly simplistic phrases causing frequent misattribution. The comparative analysis showed AI-generated content scored marginally higher in perceived originality (mean=3.2 vs. 3.0) but matched human creativity (mean=2.9 vs. 2.8), indicating minimal qualitative gaps in moderated creativity. The study highlights AI’s efficacy in scalable, data-driven tasks but underscores persistent challenges in authenticity, cultural nuance, and emotional resonance. The practical implications include strategies for content teams to integrate AI as a collaborative tool, recommendations for educators to balance technical and creative pedagogy, and policy frameworks to address ethical concerns. The limitations include sample bias toward marketing professionals and rapid technological advancements potentially altering AI’s creative benchmarks. By filling research gaps in how people spot AI content and judge its creativity, this study offers new ideas about AI working as a helper, not rival, in storytelling. It pushes for teamwork between humans and AI, using AI’s speed but keeping human creativity.

International Journal For Multidisciplinary ResearchVol. 7(3)
Openalex Percentile: Top 95%
Artificial Intelligence Applications
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