TY - GEN
T1 - A Comprehensive Analysis of Public Sentiment Towards ChatGPT’s Privacy Implications
AU - Tang, Liang
AU - Bashir, Masooda
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - In this research, we examine the rapid proliferation of ChatGPT, a leading-edge chatbot powered by sophisticated large language model (LLM) technology, and its privacy implications on societal perspectives. While it demonstrates state-of-the-art capabilities in a variety of language-generating tasks, it also raises widespread public concerns regarding its societal impact. By employing advanced natural language processing (NLP) techniques, such as sentiment analysis and topic modeling, our study analyzes public attitudes towards ChatGPT using a dataset derived from Twitter. Our result shows that the overall sentiment is largely neutral and the public’s heightened sensitivity to privacy and security breaches. Among a wide range of topics mentioned in tweets, the most popular topics are malicious phishing, data privacy, international policy and Employee data concern in workplace.
AB - In this research, we examine the rapid proliferation of ChatGPT, a leading-edge chatbot powered by sophisticated large language model (LLM) technology, and its privacy implications on societal perspectives. While it demonstrates state-of-the-art capabilities in a variety of language-generating tasks, it also raises widespread public concerns regarding its societal impact. By employing advanced natural language processing (NLP) techniques, such as sentiment analysis and topic modeling, our study analyzes public attitudes towards ChatGPT using a dataset derived from Twitter. Our result shows that the overall sentiment is largely neutral and the public’s heightened sensitivity to privacy and security breaches. Among a wide range of topics mentioned in tweets, the most popular topics are malicious phishing, data privacy, international policy and Employee data concern in workplace.
KW - ChatGPT
KW - LLMs
KW - Privacy
UR - http://www.scopus.com/inward/record.url?scp=85196214838&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85196214838&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-61281-7_19
DO - 10.1007/978-3-031-61281-7_19
M3 - Conference contribution
AN - SCOPUS:85196214838
SN - 9783031612800
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 276
EP - 284
BT - Social Computing and Social Media - 16th International Conference, SCSM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
A2 - Coman, Adela
A2 - Vasilache, Simona
PB - Springer
T2 - 16th International Conference on Social Computing and Social Media, SCSM 2024, held as part of the 26th HCI International Conference, HCII 2024
Y2 - 29 June 2024 through 4 July 2024
ER -