Department of Interactive Media, School of Communication, Hong Kong Baptist University, Hong Kong, China.
College of Communication, Shenzhen University, Shenzhen, Guangdong, China.
PLoS One. 2023 Mar 16;18(3):e0282663. doi: 10.1371/journal.pone.0282663. eCollection 2023.
The way in which information is linguistically presented can impact audience attention, emotion, and cognitive responses, even if the content remains unchanged. The present study aims to examine the effects of rhetorical devices on audience responses by introducing a new theoretical framework, the augmented elaboration likelihood model (A-ELM), which integrates elements of the Elaboration Likelihood Model and narrative theory. The results show that the mediation effects of attention on the relationships between rhetorical devices and affective and cognitive elaborations are moderated by involvement. Nonnarrative evidence, combined narrative and numerical evidence, source credibility, and tropes versus the lack of figures of speech, elicit better audience responses in low-involvement situations, whereas numerical evidence outperforms narratives in high-involvement situations. This study not only offers a novel theoretical framework in the form of A-ELM, but also has important implications for advancing methodologies and practical applications.
信息的语言呈现方式会影响受众的注意力、情感和认知反应，即使内容保持不变。本研究旨在通过引入一个新的理论框架——扩充精细加工可能性模型（A-ELM），来检验修辞手段对受众反应的影响，该模型整合了精细加工可能性模型和叙事理论的元素。结果表明，在非参与情境中，非叙事性证据、结合叙事和数字证据、来源可信度以及转喻优于缺乏修辞格的情况，会引起更好的受众反应，而在高参与情境中，数字证据优于叙事性证据。这项研究不仅提供了一种新颖的理论框架（A-ELM），而且对推进方法学和实际应用具有重要意义。
