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by johnwdefeo 1995 days ago
The manual vetting that I do revolves around discarding real-yet-unhelpful reviews (which aren't easy to spot algorithmically). E.g.

Off-Label Usage - Customers rate a portable jump starter 5-stars, even though they have only used the product to charge their smartphones, not to jump start a vehicle.

Self Validation - Customers rate a carbon monoxide detector 5-stars because they feel a sense of relief and validation that their purchase will protect their families.

Customer Service Uprating - A 1-star rating is later updated to 4- or 5-stars because the manufacturer offers the customer a replacement product (and suggests altering the review).

Misunderstanding - A customer leaves a negative review because he or she didn't read the product description carefully and is consequently disappointed with the product.

Ideology or Spite - A positive review is paired with a negative rating because the customer disagrees with the business practices of the manufacturer (e.g. It's a great product, but Widget Corp. is a POLLUTER!).

Wrong Model - A review for one variation of a product is lumped in with reviews of another version of the product. (Hard drive failure rates can differ by 900% depending on the size of the drive.)

Wrong Product - A product page is repurposed by a seller, thereby mixing the reviews of one product with a completely different one. E.g. A page about a protective phone case contains reviews about a wireless charger.

Shipping Issues - Customers leave negative reviews because their packages arrived late or damaged in a way that reflects negatively on the shipping carrier, not the manufacturer.

Joke Reviews - A customer uses his or her review as a platform for comedy. Sexual wellness products, or those that are gender-based, seem to be disproportionately affected.

Empathy or Pity - A customer has a bad experience with a product, yet he or she leaves a positive rating (typically, 4-stars) because "someone" might like the product.