Using testimonial narratives to persuade people about artificial intelligence: the role of attitudinal similarity with the protagonist of the message

Author:

Igartua Juan-José1ORCID,González-Vázquez Alejandro2ORCID,Arcila-Calderón Carlos1ORCID

Affiliation:

1. Universidad de Salamanca

2. Universidad Isabel I

Abstract

This study addresses the factors that increase the persuasive impact of testimonial narrative messages on artificial intelligence (AI). In particular, the effect on two variables that, to date, have not been explored in this field is analyzed: the attitudes toward AI (positive versus ambivalent) expressed by the protagonist of the narrative message (a testimonial in audiovisual format) and the role of participants’ prior beliefs about AI. An online experiment (N = 652) was carried out to contrast the effect of attitudinal similarity on identification with the protagonist of the narrative message and the indirect effect on attitudes and intention to use AI. The results showed that the message whose protagonist expressed positive attitudes toward AI induced greater identification only in those participants with previous positive beliefs. In contrast, the message whose protagonist expressed ambivalent attitudes toward AI induced greater identification only among participants with previous negative beliefs. In addition, identification and cognitive elaboration were found to mediate the effect of attitudinal similarity on the attitude toward and intention to use AI. These findings are discussed in the context of narrative persuasion research and the development of campaigns for improving social perceptions of data science.

Publisher

Ediciones Profesionales de la Informacion SL

Subject

Library and Information Sciences,Information Systems,General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ChatGPT Media Coverage Metrics; Initial Examination;Proceedings of the Association for Information Science and Technology;2023-10

2. Trends on Communication, Educational Assessment, Sustainable Development, Educational Innovation, Mechatronics and Learning Analytics at TEEM 2022;Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality;2023

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