How books can garner inordinate numbers of reviews

Here’s what Chat GPT found for us:

There is a well-established gray/black market for manipulating online reviews, including Amazon reviews. It is explicitly prohibited by Amazon, and since the FTC's fake-review rule took effect, knowingly buying or selling fake reviews can also violate federal law. (Amazon DigPRJ Survey)

What makes this relevant to the fascia books you've been examining is that review manipulation doesn't necessarily look like "500 obviously fake reviews appearing overnight." More sophisticated schemes are designed to resemble organic book sales and reviewing.

Common mechanisms include:

  • Review brokers/review clubs. A publisher or author pays an intermediary who recruits people with established Amazon accounts. Reviewers may actually purchase the book, then receive reimbursement or another payment elsewhere. Amazon specifically identifies brokers offering reimbursement after purchase/review as a prohibited practice. (Amazon DigPRJ Survey)

  • Coordinated purchase-and-review campaigns. Participants buy the book normally so that reviews may receive the stronger Verified Purchase designation, while reimbursement occurs outside Amazon. Thus, "Verified Purchase" is useful evidence of a transaction, but it does not by itself prove the review was unincentivized.

  • Review-exchange networks. Authors or publishers arrange reciprocal reviews or participate in groups where members review one another's products. Amazon specifically prohibits reciprocal author reviews and review manipulation through such arrangements. (Amazon DigPRJ Survey)

  • Managed account networks. Operators maintain or recruit many Amazon accounts with purchasing histories, rather than creating obviously new accounts solely to review one book. This makes the activity substantially harder to recognize from an individual review.

  • AI-assisted review production. AI makes it inexpensive to generate dozens of reviews with different lengths, vocabulary, tone, and ostensible personal experiences. The FTC rule expressly covers fake reviews attributed to people who don't exist, including AI-generated fake reviews. (Federal Trade Commission)

  • Ratings without written reviews. Amazon permits customers to leave star ratings without accompanying text. Consequently, a book can accumulate substantially more ratings than visible written reviews. (Amazon DigPRJ Survey)

There is also an important legitimate mechanism we shouldn't confuse with this. An author can distribute advance review copies or free books and recipients can subsequently review the book. Amazon expressly permits reviews of advance reader copies, provided that receiving the book isn't conditioned upon writing a review and the author doesn't attempt to influence the review's sentiment. (Amazon DigPRJ Survey)

The patterns to look for

A large number of reviews isn't evidence by itself. But the FTC itself tells consumers to pay attention to a burst of reviews over a short period, because that can be an indicator of fake reviews. (Consumer Advice)

For The 28-Day Fascia Reset Method, look at the review history rather than merely the current total:

publication date → first review → reviews accumulated after 7/14/30/60/90 days

Examine the reviewers themselves. Particularly interesting signals would be multiple reviewers who:

  • reviewed the book within the same few days;

  • use similar language or unusually generic praise;

  • reviewed several unrelated newly released books in short succession;

  • repeatedly give five stars;

  • review other books from the same cluster of suspicious fascia authors we've identified;

  • have little reviewing history before these books;

  • review books released by different supposed authors on exactly the same publication dates;

  • or show recurring combinations of those characteristics.

That last possibility could be particularly revealing. If the same reviewer accounts recur across several of the questionable fascia books, that is much stronger circumstantial evidence of coordinated promotion than an unusually high review count on one book.

Amazon clearly recognizes that this industry exists. It says it proactively blocked more than 250 million suspected fake reviews in 2023 alone and describes pursuing the actors behind fake-review operations. (Trustworthy Shopping at Amazon)

The FTC rule doesn't merely prohibit creating fake reviews. It prohibits businesses from buying reviews they knew or should have known were fake, and prohibits compensation conditioned on a particular positive or negative sentiment. (Federal Trade Commission)