Author:
Santos Ricardo,Brandão Amélia,Veloso Bruno,Popoli Paolo
Abstract
Purpose
This study aims to understand the perceived emotions of human–artificial intelligence (AI) interactions in the private sector. Moreover, this research discusses the transferability of these lessons to the public sector.
Design/methodology/approach
This research analysed the comments posted between June 2022 and June 2023 in the global open Reddit online community. A data mining approach was conducted, including a sentiment analysis technique and a qualitative approach.
Findings
The results show a prevalence of positive emotions. In addition, a pertinent percentage of negative emotions were found, such as hate, anger and frustration, due to human–AI interactions.
Practical implications
The insights from human–AI interactions in the private sector can be transferred to the governmental sector to leverage organisational performance, governmental decision-making, public service delivery and the creation of economic and social value.
Originality/value
Beyond the positive impacts of AI in government strategies, implementing AI can elicit negative emotions in users and potentially negatively impact the brand of private and government organisations. To the best of the authors’ knowledge, this is the first research bridging the gap by identifying the predominant negative emotions after a human–AI interaction.
Reference94 articles.
1. Managing information asymmetry in public-private relationships undergoing a digital transformation: the role of contractual and relational governance;International Journal of Operations and Production Management,2021
2. Tweet classification and sentiment analysis on metaverse related messages;Journal of Metaverse,2021
3. Social media in marketing: a review and analysis of the existing literature;Telematics and Informatics,2017
4. A survey of topic modelling in text mining;2015International Journal of Advanced Computer Science and Applications (IJACSA),2015
5. Sentiment analysis: dynamic and temporal clustering of product reviews;Applied Intelligence,2021