From Unstructured Data to Insights: Understanding the Role of ChatGPT in the Rising Trend of AI Chatbots in Web Publications

Plamen Milev and Yavor Tabov ()
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Yavor Tabov: University of National and World Economy, Sofia, Bulgaria

Godishnik na UNSS, 2023, issue 1, 17-29

Abstract: In this research, we delve into the expanding presence of AI chatbots in online media. Leveraging data mining and natural language processing, we dissected unstructured data from web publications to track the trajectory of chatbot popularity, focusing on OpenAI’s ChatGPT. Our findings reveal a pronounced uptrend in AI chatbot integration and user interaction, with ChatGPT emerging as a pivotal figure. This uptick indicates a broader acceptance and integration of AI in digital interactions. The study underscores the pivotal role of ChatGPT in shaping user experience and offers foresight into future AI chatbot applications in the digital media realm.

Keywords: ChatGPT; AI chatbots; unstructured data; web publications; trend analysis (search for similar items in EconPapers)
JEL-codes: C88 L86 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nwe:godish:y:2023:i:1:p:17-29

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