New articles: BRAID model to share accurate information; misinformation; ChatGPT as medical chatbot

Stephenson-Hunter, C., Yusuf, Y., Larson, R., Campanella, J. & Gutnick D. (2023). What matters to us: Bridging research and accurate information through dialogue (BRAID) to build community trust and cultivate vaccine confidence. Preventive Medicine Reports, 102253. https://doi.org/10.1016/j.pmedr.2023.102253
"The findings highlight the influence of factors, such as health communication, on trust (or lack thereof) and vaccine intention. They also reinforce that creating safe spaces for dialogue and listening and responding to community concerns in real time are effective trust-building strategies. The BRAID model fostered open discussion about the factors that influence vaccine uptake and empowered participants to share accurate information with their community. Our experience suggests that the model can be adapted to address many public health issues."

Yamaguchi, S. and Tanihara, T. (2023). Relationship between misinformation spreading behaviour and true/false judgments and literacy: an empirical analysis of COVID-19 vaccine and political misinformation in Japan. Global Knowledge, Memory and Communication [early online publication]. https://doi.org/10.1108/GKMC-12-2022-0287 

Chow, J. C. L., Sanders, L., & Li, K. (2023). Impact of ChatGPT on medical chatbots as a disruptive technology. Frontiers in artificial intelligence, 6, 1166014. https://doi.org/10.3389/frai.2023.1166014 "As researchers studying the design and creation of medical chatbots, we expect that ChatGPT will be able to evolve into a reliable and practical medical chatbot. Here, we would like to explore some obstacles to the achievement of this goal and potential solutions to them, by considering ChatGPT as a disruptive technology."
Photo by Sheila Webber: First cherries, last gooseberies, June 2023