Factors Affecting the Reliability of Information: The Case of ChatGPT

Abstract

The abundance of current information makes it necessary to select the highest quality documents. For this purpose, it is necessary to deepen the knowledge of information quality systems. The different dimensions of quality are analyzed, and different problems related to these dimensions are discussed. The paper groups these issues into different facets: primary information, its manipulation and interpretation, and the publication and dissemination of information. The impact of these interdependent facets on the production of untruthful information is discussed. Finally, ChatGPT is analyzed as a use case. It is shown how these problems and facets have an impact on the quality of the system and the mentions made by experts are analyzed. Different challenges that artificial intelligence systems face are concluded.