Shuai Zhang, Jianhua Hou, Yang Zhang, Zhizhen Yao, Zhijian Zhang
{"title":"Detecting Social Media Rumor Debunking Effectiveness During Public Health Emergencies: An Interpretable Machine Learning Approach","authors":"Shuai Zhang, Jianhua Hou, Yang Zhang, Zhizhen Yao, Zhijian Zhang","doi":"10.1177/10755470241261323","DOIUrl":null,"url":null,"abstract":"Debunking offers a promising approach to counteracting social media rumors during public health emergencies. However, the effective mechanisms of rumor debunking on social media remain unverified. This study employs an interpretable machine learning approach, combined with information and communication theories, to investigate social media rumor debunking effectiveness and its influencing factors. A total of 10,150 COVID-19 rumor-debunking posts and other relevant data on Sina Weibo were collected for analysis. The results showed that the beneficial impacts of debunking rumors surpass the adverse consequences and revealed significant differences in debunking effectiveness across diverse rumor types, topics, and involvement levels.","PeriodicalId":47828,"journal":{"name":"Science Communication","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/10755470241261323","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
Debunking offers a promising approach to counteracting social media rumors during public health emergencies. However, the effective mechanisms of rumor debunking on social media remain unverified. This study employs an interpretable machine learning approach, combined with information and communication theories, to investigate social media rumor debunking effectiveness and its influencing factors. A total of 10,150 COVID-19 rumor-debunking posts and other relevant data on Sina Weibo were collected for analysis. The results showed that the beneficial impacts of debunking rumors surpass the adverse consequences and revealed significant differences in debunking effectiveness across diverse rumor types, topics, and involvement levels.
期刊介绍:
Science Communication is a prestigious journal that focuses on communication research. It is recognized globally for publishing top-quality manuscripts that demonstrate excellent theoretical frameworks and robust methodology. Our journal embraces a broad definition of science, encompassing not only the natural and physical sciences but also social science, technology, environment, engineering, and health. Regardless of the scientific area, effective communication is always the focal point of our investigations.
Apart from theoretical and methodological rigor, we place great emphasis on the practical implications of scientific communication. Therefore, we expect all submitted manuscripts to address the real-world applications and significance of their research, alongside theoretical considerations.
In summary, Science Communication is an internationally renowned journal dedicated to bridging the gap between science and society. By promoting effective communication in various scientific domains, we strive to engage readers with intriguing research that has tangible implications for the world around us.