One Polluted Page Is Enough: Evaluating Web Content Pollution in Generative Recommenders

arXiv:2606.13610v1 Announce Type: new Abstract: Search-augmented LLMs increasingly mediate everyday consumer recommendations by retrieving live web content. This creates a new risk: generative recommenders may consume polluted web content, such as fake reviews and promotional pages crafted to mislead recommendations. We ask: to what extent do search-augmented LLMs become unwitting promoters of fake products when consuming polluted retrieval results? To answer this, we introduce FORGE (Fake Online Recommendations in Generative Environments), a benchmark for measuring fake-product promotion unde

Source: arXiv cs.CL — read the full report at the original publisher.

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