Every single review on Amazon, Goodreads, B&N etc... is important to authors. A review is a window into a book, a way of people making an infomed decision and it seems now that Amazon is changing the way it uses reviews when it comes to charting for books.
"The system will learn what reviews are most helpful to customers...and it improves over time," Amazon spokeswoman Julie Law said in an interview. "It's all meant to make customer reviews more useful." (www.cnet.com/news/)
A product's 5-star rating, which previously was a pure average of all reviews, will also become weighted using those same criteria, and so may change more often.
I mean, I get why this is changing.
PC Mag say... "... Amazon's new weighted review system will use machine learning to ensure that the best reviews—as defined by Amazon—are prominently featured on a product's page. Presumably, this will also help Amazon reduce the number of crappy and/or bogus reviews that can sometimes be found on a product listing. And we're not just talking about customers who can't write; Amazon itself has gone after websites who previously promoted services designed to game Amazon's system by flooding products with not-so-authentic reviews." PCmag.com
Star ratings are no longer going to be a base average of all the reviews. Now certain reviews are going to weigh more heavily, based on:
- Verified Amazon purchase
- How many people found the review helpful
- The date of the review (more recent is a stronger weighting)
And we will write more books as a thank you :)