Michelle Walther watched consumers stumble through a familiar trap: scrolling past reviews that felt credible but were actually designed deception. As a Ph.D. researcher at the University of Twente in Enschede, she recognized a critical gap in how people shop online. Most consumers focus entirely on finding useful product information—not on spotting the fakes planted there to sway their decisions.
The problem is vast and growing. Online reviews shape what we buy, where we eat, and which hotels we book. Yet many of us lack the skills to tell authentic feedback from manufactured persuasion. Walther's work offers a tangible solution: a new training method that significantly improves people's ability to recognize fake reviews before those deceptions influence their choices.
Over her research, Walther discovered exactly how consumers evaluate reviews. They look for cues: Is this review relevant? Does the reviewer seem credible? Does the content feel trustworthy? These signals matter, but most shoppers apply them unconsciously, and many apply them incorrectly. To map this process precisely, Walther developed the Consumer Review Evaluation Model, or CREM model. Using an extensive literature review, direct observations, and "thinking aloud" sessions where people verbalized their reasoning while reading reviews, she documented step-by-step how consumers decide whether to trust a review and let it influence their purchase.
The breakthrough came next. Based on the CREM model, Walther created a training program designed to sharpen these instincts. Experimental results were clear: participants who completed the training became significantly better at identifying fake reviews. They weren't just marginally improved—the difference was measurable and meaningful. For the first time, there was evidence that review-evaluation skills could be systematically taught and improved.
This matters beyond individual shoppers. The findings point toward better consumer education programs, the kind that could be integrated into school curricula or offered by platforms themselves. A more trustworthy online shopping environment isn't just about cleaner data; it's about restoring confidence in the systems billions of people use daily. When fake reviews flood a platform, they corrode trust—not just in that particular product, but in reviews themselves.
Walther's research employed rigorous methodology, combining systematic literature review, grounded theory, and experimental work. She pursued three central questions: Which cues do consumers actually use to recognize fakes? How do people apply those cues when shopping in real time? And crucially, how can their detection skills be improved? The answers came through methodical, evidence-based work.
The implications ripple outward. Platforms already deploy automated systems to catch spam and artificially generated reviews. But humans remain the second line of defense—and they've been operating with inadequate training. Walther's work changes that. By understanding the exact mental steps consumers take when evaluating reviews, researchers and educators now have a blueprint for teaching people to think more critically about what they read online. In an era of sophisticated digital manipulation, that's a kind of protection that scales. The University of Twente's discovery won't eliminate fake reviews, but it gives people the tools to see through them.