用ChatGPT优化疫苗宣传文案，提升说服力。
Working with Large Language Models to Enhance Messaging Effectiveness for Vaccine Confidence
- 用ChatGPT改写原始疫苗宣传语，生成更长的版本。
- 改写后文案平均评分更高，尤其长度增加时效果更明显。
- 公众对AI生成内容无明显抵触，适合公共卫生团队使用。
疫苗犹豫和虚假信息是实现广泛接种的主要障碍。小型公共卫生部门可能缺乏制定有效疫苗宣传语的专业能力或资源。本文探讨了利用ChatGPT增强疫苗宣传语的效果。我们开展了一项调查，参与者需在成对的疫苗宣传语中选择更具说服力的一条，并评估其说服程度。每组中一条为原始文本，另一条由ChatGPT改写。调查结束后，参与者得知一半消息由ChatGPT生成，并被要求提供关于知晓来源后印象变化的量化与质性反馈。总体上，经ChatGPT增强的消息评分略高于原始消息，且较长文本表现更好。受访者对AI生成内容未表现出重大担忧，且对ChatGPT的看法与消息评分之间无显著关联。值得注意的是，消息呈现顺序（先/后）与其得分存在相关性。结果表明，ChatGPT有潜力提升疫苗宣传语效果，为未来人机协作在公共卫生传播中的应用提供了新方向。
原文摘要 · Abstract (English)
Vaccine hesitancy and misinformation are significant barriers to achieving widespread vaccination coverage. Smaller public health departments may lack the expertise or resources to craft effective vaccine messaging. This paper explores the potential of ChatGPT-augmented messaging to promote confidence in vaccination uptake. We conducted a survey in which participants chose between pairs of vaccination messages and assessed which was more persuasive and to what extent. In each pair, one message was the original, and the other was augmented by ChatGPT. At the end of the survey, participants were informed that half of the messages had been generated by ChatGPT. They were then asked to provide both quantitative and qualitative responses regarding how knowledge of a message's ChatGPT origin affected their impressions. Overall, ChatGPT-augmented messages were rated slightly higher than the original messages. These messages generally scored better when they were longer. Respondents did not express major concerns about ChatGPT-generated content, nor was there a significant relationship between participants' views on ChatGPT and their message ratings. Notably, there was a correlation between whether a message appeared first or second in a pair and its score. These results point to the potential of ChatGPT to enhance vaccine messaging, suggesting a promising direction for future research on human-AI collaboration in public health communication.
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