A model for user acceptance of robot journalism: Influence of positive disconfirmation and uncertainty avoidance

Daewon Kim and Suwon Kim

Technological Forecasting and Social Change, 2021, vol. 163, issue C

Abstract: This study explored factors affecting acceptance of news articles written by robot journalists. Until now, there has been little discussion about robot journalism in the perspective of user behavior, especially in terms of psychological and cultural factors influencing users’ intention to continue or discontinue consumption of news articles produced by robot journalists. According to the results of this study, perceived quality and positive disconfirmation on news by robot journalists raised satisfaction, which led to an increase in intention to accept robot journalism. Also, the role of prior expectation and uncertainty avoidance were explored. The lower the prior expectation, the stronger the effect of positive disconfirmation on satisfaction, and the higher uncertainty avoidance, the weaker the effect of satisfaction on intention to accept news by robot journalists.

Keywords: Robot journalism; News; Intention to accept news stories; Positive disconfirmation; Artificial intelligence; Uncertainty avoidance (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:163:y:2021:i:c:s0040162520312749

DOI: 10.1016/j.techfore.2020.120448

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