Big Data approximations: Brand Communities and AI

Gordon Bowen, Sebastian Okafor, Arshad Jamal, Sumesh Dadwal, Hamid Jahankhani

Research output: Contribution to journalArticlepeer-review

Abstract

Abstract
The quality of data and information located in brand communities can be ensured by checking for fake reviews or fake information. Artificial intelligence (AI)
algorithms have the potential to resolve the ethical issues of fake information and to analyse informational trends accurately and in a timely manner. Thus, the application of AI in brand communities could give firms a sustainable competitive advantage. Also, brand communities extend over many geographical locations,,
which adds to the richness of the data that could provide valuable insights into products and services. In this application, AI would include an ethical memory and the ability to analyse and synthesise information. Thus, there
will be an interface between the algorithm that checks the integrity of the information and the algorithm that analyses the data.
Keywords: Artificial intelligence (AI), brand communities, big data integrity in brand communities, AI and privacy, and ethics and AI.
Original languageEnglish
Pages (from-to)37
Number of pages57
JournalInterdisciplinary Journal of Economics, Business and Law
Volume12
Issue numberSpecial Issue
Publication statusPublished - 2023

Keywords

  • Artificial intelligence (AI), brand communities, big data integrity in brand communities, AI and privacy, and ethics and AI.

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