"What was once a simple signal for trust has become a place where potential customers feel like they have to keep a watchful eye. Reviews, including star ratings and written testimonials, have been overtaken by generative AI, automation, and increasingly commissioned reviews. As large language models (LLMs) lower the cost of producing content at scale, online reputation has become a greater risk for customers. Today, online reputation management (ORM) means having AI safety under control, platform governance, and creating a trustworthy infrastructure."
"Fake reviews are no longer only written by paid actors. They have become entirely industrialized. Some estimates suggest that billions of dollars in global consumer spending are influenced by fraudulent or manipulated reviews. Some analyses even suggest the total economic impact could be in the hundreds of billions. The problem isn't just negative attacks on businesses. A significant share of disingenuous reviews are five-star ratings designed to inflate a product's visibility, manipulate ranking algorithms, and crowd out legitimate competitors."
Online reviews, including star ratings and written testimonials, have been overtaken by generative AI, automation, and commissioned reviews, increasing risk for customers. Large language models lower the cost of producing content at scale and enable context-aware reviews that reference product features and details. Bot networks using old accounts can run coordinated review campaigns that evade traditional anomaly detection filters. Billions of dollars of consumer spending are influenced by fraudulent or manipulated reviews, with total economic impact possibly reaching the hundreds of billions. Artificially positive five-star reviews distort consumer perception, harm fair competition, and erode brand credibility. Effective online reputation management requires AI safety controls, platform governance, and trustworthy infrastructure.
Read at Digital Trends
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