AI in Social Media Marketing : Opportunities and Challenges

Using artificial intelligence (AI) technology to improve brand engagement, targeting accuracy, and content personalisation, social media marketing (SMM) has undergone tremendous evolution. In order to highlight the transformational power of AI through computer vision, natural language processing (NLP), and predictive analytics, this article investigates how AI is integrated into SMM. Artificial intelligence (AI) has revolutionised the way businesses engage with their consumers by enabling more granular customer data, tailored marketing strategies, and streamlined operations. Even with its benefits, AI in SMM has drawbacks such algorithmic bias, data privacy, and ethical issues. This paper offers a thorough review of AI's involvement in SMM, highlighting both opportunities and challenges, by looking at successful implementations and lessons learnt from mistakes.

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Institutions

Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2024-10-02
DOI
https://doi.org/10.32628/cseit24105104
Citations
4
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
1.39
Controls
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article

AI in Social Media Marketing : Opportunities and Challenges

Ms. Anshu, Monika Sharma
4 citations
International Journal of Scientific Research in Computer Science Engineering and Information Technology
AI in Service Interactions
1.39
article

AI in Social Media Marketing : Opportunities and Challenges

Ms. Anshu, Monika Sharma
article en
4 citations

Abstract

Using artificial intelligence (AI) technology to improve brand engagement, targeting accuracy, and content personalisation, social media marketing (SMM) has undergone tremendous evolution. In order to highlight the transformational power of AI through computer vision, natural language processing (NLP), and predictive analytics, this article investigates how AI is integrated into SMM. Artificial intelligence (AI) has revolutionised the way businesses engage with their consumers by enabling more granular customer data, tailored marketing strategies, and streamlined operations. Even with its benefits, AI in SMM has drawbacks such algorithmic bias, data privacy, and ethical issues. This paper offers a thorough review of AI's involvement in SMM, highlighting both opportunities and challenges, by looking at successful implementations and lessons learnt from mistakes.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 10(5)
Government of Haryana (IN), Textile Research Institute (US)
Openalex Percentile: Top 15%
AI in Service Interactions
1.39
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AI in Social Media Marketing : Opportunities and Challenges — Ms. Anshu, Monika Sharma · International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) | TGRS Research Map | TGRS