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Response Letter to “Testing ChatGPT's Capabilities for Social Media Content Analysis”

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Abstract

This editorial discusses the innovative application of ChatGPT in categorizing and analysing social media content, with a focus on aesthetic medical fields. It highlights the revolutionary capabilities of AI in enhancing efficiency and objectivity over traditional human-driven methods. Alongside the benefits, it also considers ethical concerns surrounding privacy, consent, and inherent biases within AI models. The article explores the complexity of categorization, the limitations in understanding human nuances, and the impact on human creativity, including specific applications such as SEO writing. It concludes by emphasizing the need for careful integration of AI in our interconnected world, balancing technological advancements with ethical considerations and a recognition of the unique attributes of human intellect.

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References

  1. Haman et al (2023) Testing ChatGPT's capabilities for social media content analysis. Aesth Plast Surg.

  2. Buzzaccarini G, Degliuomini RS, Borin M (2023) The impact of social media-driven fame: when followers overshadow science. Aesthet Surg J 43(10):NP807-NP808. https://doi.org/10.1093/asj/sjad190

  3. Tlili A, Shehata B, Adarkwah MA, Bozkurt A, Hickey DT, Hunag R et al (2023) What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learn Environ 10(1). https://doi.org/10.1186/s40561-023-00237-x

  4. Iskender A (2023) Holy or unholy? Interview with open AI’s ChatGPT. EJTR 34:3414. https://doi.org/10.54055/ejtr.v34i.3169

  5. Saab J (2023) The impact of artificial intelligence on search engine: super intelligence in artificial intelligence (AI). In: Kaddoura S (ed) Handbook of research on AI methods and applications in computer engineering. IGI Global, pp 141–160. https://doi.org/10.4018/978-1-6684-6937-8.ch007

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Correspondence to Giovanni Buzzaccarini.

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Buzzaccarini, G., Degliuomini, R.S. & Borin, M. Response Letter to “Testing ChatGPT's Capabilities for Social Media Content Analysis”. Aesth Plast Surg (2023). https://doi.org/10.1007/s00266-023-03675-7

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  • DOI: https://doi.org/10.1007/s00266-023-03675-7

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