Intelligent revolution and communication reconstruction: the impact of AI technology on the media production chain—a full-process analysis based on content production, distribution, and consumption
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Intelligent revolution and communication reconstruction: the impact of AI technology on the media production chain—a full-process analysis based on content production, distribution, and consumption

Chengkai Li 1*
1 Wanke Meisha Academic
*Corresponding author: bobli200709@gmail.com
Published on 24 September 2025
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ASBR Vol.16 Issue 8
ISSN (Print): 2753-7110
ISSN (Online): 2753-7102
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Abstract

The rapid advancement of artificial intelligence (AI) technology is fundamentally reshaping the production chain of the media industry. This study focuses on the impact of generative AI (e.g., ChatGPT, DeepSeek, Doubao) on content production, employing content analysis to reveal core differences between AI-generated and human-authored content. By comparative analysis, this paper discussed the issue across three dimensions: text structure, information density, and perceived credibility. Key findings include: Regarding textual features, AI content averaged 29% fewer words than human content (856 words vs. 1,203 words), exhibited more fragmented paragraph structures (average paragraph length 98 words vs. 152 words), and cited data sources only 32% as often as human content. In quality assessment, while AI content readability scores approached those of human content, its perceived information credibility was significantly lower. Readers with social science backgrounds exhibited particularly strong distrust towards AI content (average rating 2.1/5). High-frequency word analysis further indicated AI content's tendency to use vague expressions like "possibly" and "data suggests," whereas human content more frequently cited specific sources.

Keywords:

content generation, content distribution, content consumption, AI, media production chain

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Li,C. (2025). Intelligent revolution and communication reconstruction: the impact of AI technology on the media production chain—a full-process analysis based on content production, distribution, and consumption. Advances in Social Behavior Research,16(8),21-25.

References

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[3]. Nallapati, R., Chandu, K., Paranjape, A. (2024, February 28). Generating sports highlights with generative AI.arXiv. arXiv: 2402.15514 https: //arxiv.org/abs/2402.15514

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[10]. Redress Compliance Team. (2024). Top 10 Real-life Use Cases for AI in Content Marketing.Redress Compliance. https: //redresscompliance.com/top-10-real-life-use-cases-for-ai-in-content-marketing

[11]. Enders, C. (2025, April 27). AI and social media are killing websites, publishers warned.The Times. https: //www.thetimes.co.uk/article/ai-and-social-media-killing-websites-publishers-warned-3qllkhs36

[12]. Digital Defynd Editorial Team. (2024). How Starbucks uses AI to optimize customer engagement.Digital Defynd. https: //digitaldefynd.com/IQ/starbucks-using-ai-case-study

References

[1]. Patel, N. (2024, April 9). Reuters is ready to stand up for the press — and embrace AI.The Verge. https: //www.theverge.com/decoder-podcast-with-nilay-patel/663285/reuters-is-ready-to-stand-up-for-the-press-and-embrace-ai

[2]. Winfield, N. (2024, March 18). An Italian newspaper used AI to write an entire edition. The results raised some eyebrows.AP News. https: //apnews.com/article/952526055d4ed612bc5cf55fa8dea208

[3]. Nallapati, R., Chandu, K., Paranjape, A. (2024, February 28). Generating sports highlights with generative AI.arXiv. arXiv: 2402.15514 https: //arxiv.org/abs/2402.15514

[4]. Zhao, Z. (2021). Analysis on the “Douyin (Tiktok) Mania” phenomenon based on recommendation algorithms. InE3S Web of Conferences(Vol. 235, p. 03029). EDP Sciences.

[5]. Griffiths, R. (2025, May 4). WPP asks AI for “shower thoughts” in the search for “unspoken truths”.The Times. https: //www.thetimes.co.uk/article/wpp-asks-ai-for-shower-thoughts-in-the-search-for-unspoken-truths-c8dnhfwfj

[6]. Van Esch, P., & Stewart Black, J. (2021). Artificial intelligence (AI): revolutionizing digital marketing.Australasian Marketing Journal, 29(3), 199-203.

[7]. Contentfy Editorial Team. (2023). The Role of AI in Content Distribution: Case Study Netflix.AI Contentfy. https: //aicontentfy.com/en/blog/role-of-ai-in-content-distribution

[8]. Krysik, A. (2024). Netflix Algorithm: How Netflix Uses AI to Improve Personalization. https: //stratoflow. com/how-netflix-recommendationalgorithm-work.

[9]. Nguyen, T. T., Hui, P. M., Harper, F. M., Terveen, L., & Konstan, J. A. (2014, April). Exploring the filter bubble: the effect of using recommender systems on content diversity. InProceedings of the 23rd international conference on World wide web(pp. 677-686).

[10]. Redress Compliance Team. (2024). Top 10 Real-life Use Cases for AI in Content Marketing.Redress Compliance. https: //redresscompliance.com/top-10-real-life-use-cases-for-ai-in-content-marketing

[11]. Enders, C. (2025, April 27). AI and social media are killing websites, publishers warned.The Times. https: //www.thetimes.co.uk/article/ai-and-social-media-killing-websites-publishers-warned-3qllkhs36

[12]. Digital Defynd Editorial Team. (2024). How Starbucks uses AI to optimize customer engagement.Digital Defynd. https: //digitaldefynd.com/IQ/starbucks-using-ai-case-study

Cite this article

Li,C. (2025). Intelligent revolution and communication reconstruction: the impact of AI technology on the media production chain—a full-process analysis based on content production, distribution, and consumption. Advances in Social Behavior Research,16(8),21-25.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Journal: Advances in Social Behavior Research

Volume number: Vol.16
Issue number: Issue 8
ISSN: 2753-7102(Print) / 2753-7110(Online)

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