Public perception of generative AI on Twitter: an empirical study based on occupation and usage

IF 3 2区 计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS EPJ Data Science Pub Date : 2024-01-08 DOI:10.1140/epjds/s13688-023-00445-y
Kunihiro Miyazaki, Taichi Murayama, Takayuki Uchiba, Jisun An, Haewoon Kwak
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Abstract

The emergence of generative AI has sparked substantial discussions, with the potential to have profound impacts on society in all aspects. As emerging technologies continue to advance, it is imperative to facilitate their proper integration into society, managing expectations and fear. This paper investigates users’ perceptions of generative AI using 3M posts on Twitter from January 2019 to March 2023, especially focusing on their occupation and usage. We find that people across various occupations, not just IT-related ones, show a strong interest in generative AI. The sentiment toward generative AI is generally positive, and remarkably, their sentiments are positively correlated with their exposure to AI. Among occupations, illustrators show exceptionally negative sentiment mainly due to concerns about the unethical usage of artworks in constructing AI. People use ChatGPT in diverse ways, and notably the casual usage in which they “play with” ChatGPT tends to be associated with positive sentiments. These findings would offer valuable lessons for policymaking on the emergence of new technology and also empirical insights for the considerations of future human-AI symbiosis.

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推特上生成式人工智能的公众认知:基于职业和使用情况的实证研究
生成式人工智能的出现引发了大量讨论,有可能在各个方面对社会产生深远影响。随着新兴技术的不断进步,当务之急是促进其与社会的适当融合,管理人们的期望和恐惧。本文利用 2019 年 1 月至 2023 年 3 月期间推特上的 3M 帖子调查了用户对生成式人工智能的看法,尤其关注他们的职业和使用情况。我们发现,各种职业的人,而不仅仅是与信息技术相关的职业,都对生成式人工智能表现出浓厚的兴趣。人们对生成式人工智能的态度普遍积极,值得注意的是,他们的态度与他们对人工智能的接触呈正相关。在各种职业中,插图画家表现出格外消极的情绪,这主要是因为他们担心在构建人工智能时使用艺术作品有违职业道德。人们使用 ChatGPT 的方式多种多样,值得注意的是,他们 "玩 "ChatGPT 的休闲方式往往与积极情绪相关。这些发现将为新技术出现时的政策制定提供宝贵的经验,也为未来人类与人工智能共生的考虑提供经验性启示。
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来源期刊
EPJ Data Science
EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -
CiteScore
6.10
自引率
5.60%
发文量
53
审稿时长
13 weeks
期刊介绍: EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
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