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

Author

Listed:
  • Plamen Milev

    (University of National and World Economy, Sofia, Bulgaria)

  • Yavor Tabov

    (University of National and World Economy, Sofia, Bulgaria)

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.

Suggested Citation

  • Plamen Milev & Yavor Tabov, 2023. "From Unstructured Data to Insights: Understanding the Role of ChatGPT in the Rising Trend of AI Chatbots in Web Publications," Godishnik na UNSS, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 17-29, September.
    • Handle: RePEc:nwe:godish:y:2023:i:1:p:17-29
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    File URL: https://unwe-yearbook.org/en/journalissues/article/11526
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    More about this item

    Keywords

    ChatGPT; AI chatbots; unstructured data; web publications; trend analysis;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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