Wenjing Pian , Ruinan Zheng , Jianxing Chi , Christopher S.G. Khoo
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引用次数: 0
Abstract
Campaign messages are often issued by government and international agencies to persuade the public to adopt certain standpoints or take actions related to public issues. However, there is a paucity of empirical research investigating how to improve the messages to increase adoption—from an information and argumentation perspective. This study developed a model of public campaign message adoption based on an argumentation perspective and the information adoption model, and investigated how different types of causal argument elements contribute to the adoption intention of public campaign messages. Two within-subject online experiments with fictitious and real scenarios were conducted, and Bayesian hierarchical modeling that treated participant and scenario as random factors were employed in the data analysis. The results indicate that two types of argument support elements (i.e., support to the data and support to the bridging premise) significantly increased the adoption intention of campaign messages in different scenarios. Additionally, the argument support to the bridging premise exhibited a bigger effect than the support to the data. Finally, their effects on adoption intention were fully mediated by perceived argument strength and source credibility of the campaign messages. This study sheds light on how to design more persuasive campaign messages related to public issues.
期刊介绍:
Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing.
We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.