AI in Social Media Marketing : Opportunities and Challenges
DOI:
https://doi.org/10.32628/CSEIT24105104Keywords:
Social Media Marketing, Artificial Intelligence, Predictive Analytics, Natural Language ProcessingAbstract
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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References
Balducci, B., & Marinova, D. (2018). "Unstructured Data in Marketing." Journal of the Academy of Marketing Science, 46(4), 557-590. DOI: https://doi.org/10.1007/s11747-018-0581-x
Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., ... & Raman, R. (2021). "Impact of COVID-19 Pandemic on Information Management Research and Practice: Transforming Education, Work and Life." International Journal of Information Management, 55, 102211.] DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102211
Davenport, T., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review.
Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons.
Luo, X., Zhang, J., & Duan, W. (2020). Social media and firm equity value: The impact of customer sentiment expressed through Twitter. Journal of Business Research.
Chui, M., Manyika, J., & Miremadi, M. (2018). What AI can and can’t do (yet) for your business. McKinsey Quarterly.
Davenport, T., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review.
Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons.
Chui, M., Manyika, J., & Miremadi, M. (2018). What AI can and can’t do (yet) for your business. McKinsey Quarterly.
Luo, X., Zhang, J., & Duan, W. (2020). Social media and firm equity value: The impact of customer sentiment expressed through Twitter. Journal of Business Research.
Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons.
Davenport, T., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review.
Chui, M., Manyika, J., & Miremadi, M. (2018). What AI can and can’t do (yet) for your business. McKinsey Quarterly.
Luo, X., Zhang, J., & Duan, W. (2020). Social media and firm equity value: The impact of customer sentiment expressed through Twitter. Journal of Business Research.
Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons.
Davenport, T., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review.
B. Nemade, J. Nair, and B. Nemade, "Efficient GDP Growth Forecasting for India through a Novel Modified LSTM Approach," Communications on Applied Nonlinear Analysis, vol. 31, no. 2s, pp. 339-357, 2024. DOI: https://doi.org/10.52783/cana.v31.653
B. Marakarkandy, B. Nemade, S. Kelkar, P. V. Chandrika, V. A. Shirsath, and M. Mali, "Enhancing Multi-Channel Consumer Behavior Analysis: A Data-Driven Approach using the Optimized Apriori Algorithm," Journal of Electrical Systems, vol. 20, no. 2s, pp. 700–708, 2024. DOI: https://doi.org/10.52783/jes.1536
B. Nemade, N. Phadnis, A. Desai, and K. K. Mungekar, "Enhancing connectivity and intelligence through embedded Internet of Things devices," ICTACT Journal on Microelectronics, vol. 9, no. 4, pp. 1670-1674, Jan. 2024, doi: 10.21917/ijme.2024.0289.
Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons. DOI: https://doi.org/10.1016/j.bushor.2018.08.004
Chui, M., Manyika, J., & Miremadi, M. (2018). What AI can and can’t do (yet) for your business. McKinsey Quarterly.
Luo, X., Zhang, J., & Duan, W. (2020). Social media and firm equity value: The impact of customer sentiment expressed through Twitter. Journal of Business Research.
Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons. DOI: https://doi.org/10.1016/j.bushor.2018.08.004
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