Opinion spam isn’t a brand new version of your favorite meat treat, repackaged for discerning canned ham consumers. Consistent with a team of researchers at Cornell University, it is a growing problem affecting user generated review sites, and the group is operating to forestall it dead in its tracks with a brand new program that’s geared toward tracking down fake reviews . That software, which was tested on reviews of Chicago hotels, uses keyword analysis and word combination patterns to bust opinion spammers — fakers, for instance, use more verbs than their truth-telling counterparts. The as of yet unnamed program apparently has the power to post deceptive opinions with 90 percent accuracy, but is currently only trained on hospitality within the Windy City. Ultimately, the crowd sees the software as a filter for sites like Amazon, but, for now, you’ll just must trust the old noggin to do the detecting for you.
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