ChatGPT Through the Users’ Eyes: Sentiment Analysis of Privacy and Security Issues

Document Type

Book Chapter

Source of Publication

Lecture Notes in Computer Science

Publication Date

3-21-2025

Abstract

This research investigates user perceptions of security and privacy in the context of AI technologies, focusing specifically on ChatGPT. We conducted a sentiment analysis of approximately 11,000 tweets collected from X Platform (formerly Twitter) between November 2022 and January 2024. Advanced natural language processing techniques were employed to preprocess the tweets, eliminating irrelevant data and refining the text for analysis. Sentiment analysis tools were then used to categorize user sentiments as positive, negative, or neutral. The results reveal a complex duality in user attitudes towards ChatGPT. While users generally appreciate the functional benefits and innovative capabilities of ChatGPT, there is substantial concern regarding data privacy and the potential misuse of AI technologies. Positive sentiments often highlighted the efficiency and utility of ChatGPT in various applications, whereas negative sentiments were predominantly focused on privacy risks and ethical considerations. These findings underscore the need for developers to prioritize transparent data handling practices and incorporate robust security features to address user concerns. Additionally, the study highlights the importance of updated regulations that protect user data while fostering innovation. Policymakers are urged to develop comprehensive policies that balance the need for security with the benefits of technological advancement. This study contributes to a deeper understanding of user perceptions of AI technologies, emphasizing the importance of a balanced approach that considers both benefits and risks. The insights gained provide a foundation for future research and inform strategies to enhance user trust and acceptance of AI technologies like ChatGPT.

ISBN

978-981-96-3773-7, 978-981-96-3774-4

ISSN

0302-3349

Publisher

Springer Nature Singapore

Volume

15565

First Page

41

Last Page

67

Disciplines

Computer Sciences

Indexed in Scopus

no

Open Access

no

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