Public attitudes toward chatgpt on twitter: sentiments, topics, and occupations

被引:5
作者
Koonchanok, Ratanond [1 ]
Pan, Yanling [2 ]
Jang, Hyeju [3 ]
机构
[1] Indiana Univ Indianapolis, Dept Human Ctr Comp, Indianapolis, IN 46202 USA
[2] Indiana Univ Indianapolis, Luddy Sch Informat Comp & Engn, Indianapolis, IN USA
[3] Indiana Univ Indianapolis, Dept Comp Sci, Indianapolis, IN USA
关键词
ChatGPT; Twitter; Sentiment analysis; Topic modeling; Social media; Public perception;
D O I
10.1007/s13278-024-01260-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
ChatGPT sets a new record with the fastest-growing user base, as a chatbot powered by a large language model (LLM). While it demonstrates state-of-the-art capabilities in a variety of language-generation tasks, it also raises widespread public concerns regarding its societal impact. In this paper, we investigated public attitudes towards ChatGPT by applying natural language processing techniques such as sentiment analysis and topic modeling to Twitter data from December 5, 2022 to June 10, 2023. Our sentiment analysis results indicate that the overall sentiment was largely neutral to positive, and negative sentiments were decreasing over time. Our topic model reveals that the most popular topics discussed were Education, Bard, Google Search, OpenAI, Marketing, and Cybersecurity, but the ranking varies by month. We also analyzed the occupations of Twitter users and found that those with occupations in arts and entertainment tweeted about ChatGPT most frequently. Additionally, people tended to tweet about topics relevant to their occupation. For instance, Cybersecurity is the most discussed topic among those with occupations related to computer and math, and Education is the most discussed topic among those in academic and research. Overall, our exploratory study provides insights into the public perception of ChatGPT, which could be valuable to both the general public and developers of this technology.
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页数:13
相关论文
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