E-Mail Researchers from University of Maryland, North Carolina State University, National Taiwan University, Oxford University, Kings College London, and Perceptronics Solutions, Inc. published a new paper in the Journal of Marketing that examines how artificial intelligence (AI)-based text analysis of social media can monitor the extent to which brand reputation rises and falls over time. The study, forthcoming in the Journal of Marketing, is titled "Real-Time Brand Reputation Tracking using Social Media" and is authored by Roland Rust, William Rand, Ming-Hui Huang, Andrew Stephen, Gillian Brooks, and Timur Chabuk. Organizations' brand reputations can rise and fall based on brand-related events. For example, when Goya CEO Robert Unanue suggested that the 2020 U.S. presidential election was fraudulent, that controversial assertion likely offended a large segment of the population. How can we tell? This research team demonstrates that using artificial intelligence (AI)-based text analysis of social media can monitor the extent to which brand reputation rises and falls over time. What's more, merging this social media monitoring with the Rust-Zeithaml-Lemon customer equity drivers can show exactly which dimensions of brand reputation are changing.