ChatGPT and Vaccine Hesitancy: A Comparison of English, Spanish, and French Responses Using a Validated Scale.

Saubhagya Joshi, Eunbin Ha, Yonaira Rivera, Vivek K Singh
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Abstract

ChatGPT is a popular information system (over 1 billion visits in August 2023) that can generate natural language responses to user queries. It is important to study the quality and equity of its responses on health-related topics, such as vaccination, as they may influence public health decision-making. We use the Vaccine Hesitancy Scale (VHS) proposed by Shapiro et al.1 to measure the hesitancy of ChatGPT responses in English, Spanish, and French. We find that: (a) ChatGPT responses indicate less hesitancy than those reported for human respondents in past literature; (b) ChatGPT responses vary significantly across languages, with English responses being the most hesitant on average and Spanish being the least; (c) ChatGPT responses are largely consistent across different model parameters but show some variations across the scale factors (vaccine competency, risk). Results have implications for researchers interested in evaluating and improving the quality and equity of health-related web information.

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ChatGPT 和疫苗犹豫不决:使用经过验证的量表比较英语、西班牙语和法语的反应。
ChatGPT 是一个流行的信息系统(2023 年 8 月访问量超过 10 亿次),可以对用户查询生成自然语言回复。研究其在疫苗接种等健康相关主题上的回复质量和公平性非常重要,因为它们可能会影响公共卫生决策。我们使用 Shapiro 等人1 提出的疫苗犹豫不决量表(VHS)来衡量 ChatGPT 用英语、西班牙语和法语做出的回答的犹豫不决程度。我们发现(a) ChatGPT 的反应比过去文献中报道的人类受访者的反应更少犹豫;(b) ChatGPT 的反应在不同语言中差异显著,平均而言,英语的反应最犹豫,而西班牙语的反应最不犹豫;(c) ChatGPT 的反应在不同模型参数中基本一致,但在量表因素(疫苗能力、风险)中显示出一些差异。研究结果对有兴趣评估和改进健康相关网络信息的质量和公平性的研究人员具有启示意义。
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