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Study of consumer trust in online reviews and social media comments in the context of the development of generative tools based on artificial intelligence technologies (aiTrust)

Project summary

Recently, developments in artificial intelligence have caused or blurred the lines between human-generated and automated content. Companies are increasingly using AI avatars to convey information and recommend products, but costs remain high for individuals and small businesses. AI-based content generators have become popular due to their accessibility and ease of implementation, being used to simulate online reviews and comments. One proposes to investigate consumer trust in AI-generated content and its impact on purchase decisions by analyzing and modeling the relationships between online reviews and comments and consumer behavior, providing recommendations for adapting these technologies.

aiTrust

Objective

The objective of the project is to investigate consumer trust in online reviews and social media comments and how recent improvements in online artificial intelligence tools have influenced this, in order to better understand how consumers perceive and interpret information obtained from reviews and comments generated by artificial intelligence, as well as the influence on purchasing decisions and consumer behavior.

Project activities

Activity 1
The study of specialized literature, the collection of data and the evaluation of the results
Activity 2
Analyzation of main antecedents of trust in social media and online review websites in an artificial intelligence context
Activity 3
Developing interdisciplinary empirical models of trust in social media and online review websites in the context of AI-generated content
Activity 4
The development of good practice recommendations for organizational communication, respectively of public policy proposals that take into account the content generated by artificial intelligence
Activity 5
Management and dissemination of project results