Effects of rhetorical devices on audience responses with online videos: An augmented elaboration likelihood model

PLoS One. 2023 Mar 16;18(3):e0282663. doi: 10.1371/journal.pone.0282663. eCollection 2023.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Attention*
  • Likelihood Functions
  • Narration*

Associated data

  • figshare/10.6084/m9.figshare.19498751.v1

Grants and funding

Specific grant numbers (grant no.: 18BXW082) Initials of authors who received each award (GF) Full names of commercial companies that funded the study or authors (no commercial companies are involved) Initials of authors who received salary or other funding from commercial companies (na) URLs to sponsors’ websites (http://www.nopss.gov.cn/) The funder (National Social Science Fund of China) had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.