AI-Driven Automation in Social Media Marketing: Leveraging GANs for Content Creation

An era of highly tailored and effective content generation has been ushered in by the rapid advancement of artificial intelligence (AI), which has completely transformed the social media marketing scene. An innovative AI method called Generative Adversarial Networks (GANs) has become a potent tool for automating the creation of engaging social media content. Marketers may easily produce stunning photos and films that captivate their target consumers by utilizing the generative powers of GANs. In order to improve brand awareness and engagement, this study explores how to effortlessly integrate GANs into current marketing workflows by delving into their complex mechanisms. Additionally, we look at the possible advantages and difficulties of implementing GANs, offering insightful information to marketers that want to use AI-driven automation to stay ahead of the curve in the cutthroat digital world of today. This study highlights the revolutionary potential of artificial intelligence (AI) in influencing the direction of social media marketing through an extensive integration of theoretical analysis and real-world implementations.

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Published
2024-12-12
DOI
https://doi.org/10.1109/aicecs63354.2024.10957230
Primary Topic
Topic Modeling
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article
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article

AI-Driven Automation in Social Media Marketing: Leveraging GANs for Content Creation

Sakshi Singh, Davinder Kaur
Topic Modeling
article

AI-Driven Automation in Social Media Marketing: Leveraging GANs for Content Creation

Sakshi Singh, Davinder Kaur
article en

Abstract

An era of highly tailored and effective content generation has been ushered in by the rapid advancement of artificial intelligence (AI), which has completely transformed the social media marketing scene. An innovative AI method called Generative Adversarial Networks (GANs) has become a potent tool for automating the creation of engaging social media content. Marketers may easily produce stunning photos and films that captivate their target consumers by utilizing the generative powers of GANs. In order to improve brand awareness and engagement, this study explores how to effortlessly integrate GANs into current marketing workflows by delving into their complex mechanisms. Additionally, we look at the possible advantages and difficulties of implementing GANs, offering insightful information to marketers that want to use AI-driven automation to stay ahead of the curve in the cutthroat digital world of today. This study highlights the revolutionary potential of artificial intelligence (AI) in influencing the direction of social media marketing through an extensive integration of theoretical analysis and real-world implementations.

Chandigarh University (IN)
Openalex Percentile: Top 73%
Topic Modeling
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AI-Driven Automation in Social Media Marketing: Leveraging GANs for Content Creation — Sakshi Singh, Davinder Kaur · (2024) | TGRS Research Map | TGRS