Recently, the National Natural Science Foundation of China (NSFC) announced the evaluation results for the 2024 NSFC centralized acceptance of application projects. Two teachers from our school, Zuo Chaoyuan and Yu Mengli, were awarded grants under the Young Scientist Fund projects. Zuo Chaoyuan’s project is titled “Research on Key Technology of Information Distortion Detection in Health Communication”, and Yu Mengli’s project is titled “Research on Credibility Evaluation and Dissemination Mechanism of Health Short Videos Based on Deep Learning”. This marks the second consecutive year that our school has received NSFC Young Scientist Fund project grants, with the first grant obtained last year and two granted this year, which is a milestone of the School in exploring the construction of “new liberal arts” through approaches such as “mutual learning between arts and literature, interdisciplinary integration of arts and sciences, and integration of arts and engineering”.
Project Summary: Research on Key Technology of Information Distortion Detection in Health Communication:
In recent years, the increasingly prominent problem of information distortion in health communication has become a key factor hindering public health awareness and behavioral changes. Misinformation, exaggerated publicity, and even fake news frequently appear in the health field, not only misleading public understanding of health, but also potentially causing direct harm to public health. This project aims to explore and develop a set of key technologies to address the issue of information distortion in health communication. The research results will provide a set of scientific and effective means for information distortion detection in health communication, thereby enhancing the authenticity and reliability of health information. This will offer the public more accurate and reliable health guidance, ultimately improving public health awareness and health behaviors.
Project Summary: Research on Credibility Evaluation and Dissemination Mechanism of Health-related Short Videos Based on Deep Learning:
In advancing the “Healthy China” strategy, health-related short videos, as an emerging communication channel, play a crucial role in raising public health awareness. However, the dissemination effectiveness of health-related short videos is affected by concerns about their credibility. Based on this, the project aims to conduct in-depth research on non-textual content in health-related short videos and its impact on credibility. By utilizing deep learning technology and incorporating contextual factors, the project will explore new theoretical frameworks and methods to improve the quality and effectiveness of health information dissemination and promote national health literacy, which will be of marked scientific significance and broad social value.
