Artificial Intelligence for Health Message Generation: Theory, Method,
and an Empirical Study Using Prompt Engineering
- URL: http://arxiv.org/abs/2212.07507v1
- Date: Wed, 14 Dec 2022 21:13:08 GMT
- Title: Artificial Intelligence for Health Message Generation: Theory, Method,
and an Empirical Study Using Prompt Engineering
- Authors: Sue Lim (1), Ralf Schm\"alzle (1) ((1) Michigan State University)
- Abstract summary: 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.
We generated messages that could be used to raise awareness and compared them to retweeted human-generated messages.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- 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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