![]() ![]() (PowerReviews applies observations tags, which we detail in our Moderation Policy )įor many businesses and Ratings and Reviews vendors, the moderation process stops at step two. It will also make regular updates to these filters, based on emerging slang terms or political slogans, to ensure nothing profane gets published. For others, it can be passed to a human moderation team.Ī best-in-class vendor will enable you to add additional words or phrases to the profanity filter. a rave review with a 1-star ratingįor some tags, such as profanity, the content can be automatically rejected for publication. Content about the wrong product or retailer.When a potential issue is detected, a tag is added to that content so that it can be later reviewed by a human. Either way, the tech applies a “fraud” tag to it, flagging it for review – potentially by human moderators (more on them in step 3).īeyond fraud, systems can also scan each piece of content through an automated filtering process to catch additional authenticity issues, from profanity to personally identifiable information. Most times, however, this kind of activity indicates fraud. Of course, there is a possibility it’s just a customer who’s particularly zealous about reviewing every single product they bought for Black Friday. By using this technology, you’re able to prevent all different types of fraudulent reviews, including spam, duplicate content, and promotional content.įor example, if it detects a large number of reviews coming from a single device, those reviews get flagged for potential fraud. ![]() ![]() This data identifies the device ID associated with a review, such as a smartphone or tablet and helps to identify suspicious device or IP information. To safeguard against this threat, industry-leading fraud technology can analyze the device fingerprint data used to submit a piece of UGC. So it’s important to keep this content off your website. And when they do, they won’t be happy.ĭisplaying fake reviews directly violates FTC guidelines. Number two: sooner or later, shoppers will figure it out. Why? Number one: it’s completely unethical and goes against the whole ethos of why shoppers read reviews in the first place when making purchase decisions. And again for anyone at the back who didn’t hear: DON’T DO IT. It can therefore be tempting to selectively block negative reviews or manufacture positive review content.ĭon’t even think about it. Today, nearly all shoppers depend on user generated content (UGC) - including reviews, Q&A, photos and videos - to make informed purchase decisions.įor this reason, every brand and retailer wants to have a positive ratings and reviews footprint. While this notice primarily references influencer content and testimonials, you may be wondering how it applies to your customer reviews. If you partner with influencers, you’ve likely become aware of the recent announcement the Federal Trade Commission (FTC) sent to over 700 brands and retailers regarding penalties for fake endorsements and reviews. ![]()
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