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arXiv · 2212.07507

Artificial Intelligence for Health Message Generation: Theory, Method, and an Empirical Study Using Prompt Engineering

Sue Lim·Ralf Schmälzle
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Abstract

This study introduces and examines the potential of an AI system to generate health awareness messages. The topic of folic acid, a vitamin that is critical during pregnancy, served as a test case. Using prompt engineering, we generated messages that could be used to raise awareness and compared them to retweeted human-generated messages via computational and human evaluation methods. The system was easy to use and prolific, and computational analyses revealed that the AI-generated messages were on par with human-generated ones in terms of sentiment, reading ease, and semantic content. Also, the human evaluation study showed that AI-generated messages ranked higher in message quality and clarity. We discuss the theoretical, practical, and ethical implications of these results.

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Sue Lim, Ralf Schmälzle. 2022-12-14. Artificial Intelligence for Health Message Generation: Theory, Method, and an Empirical Study Using Prompt Engineering. https://doi.org/10.3389/fcomm.2023.1129082

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