Fakespot: uncover fake reviews on Amazon, Yelp and Tripadvisor
Fakespot is a free online service that helps you uncover fake reviews on Amazon, Yelp, and Tripadvisor by analyzing reviews and grading them.
Most shopping, travel and business listing sites support user reviews. Reviews are designed to assist Internet users in making decisions. Should you eat in restaurant A or B, or buy that motherboard or another one.
One of the big issues with reviews is that anyone can leave them. This opens the door for fake reviews, especially since companies tend to favor products with good reviews over products with fewer or less good ratings.
Fakespot
It is sometimes difficult to spot fake reviews as a user as you have a limit amount of information available. You get a username, date and the review text. Some sites link to reviewer profiles on top of that.
You cannot trust the overall rating blindly and need to go through reviews manually to decide on a review by review basis whether it is legitimate or fake.
Fakespot assists you in that. It works by pasting an URL of an Amazon product page, Yelp or TripAdvisor business page in the form on the Fakespot website and selecting analyze afterward.
Results are displayed immediately if the URL is already in the Fakespot database, or analyzed on the fly if it is not.
Fakespot gives an overall rating from A to F, an overview of the analysis, a summary of reviews, and a list of unreliable reviewers.
The grade defines the percentage of reliable reviews and reviewers. Grade A product reviews are 90% or more reliable, Grade F product reviews up to 44% reliable only.
Fakespot's analysis of reviews uses multiple data points that manual reviewers have a hard time getting their hands on. On Amazon, for example, it takes into account verified purchases, date and content correlations, purchasing patterns, and writing style among others.
The primary criteria is the language utilized by the reviewer, the profile of the reviewer,correlation with other reviewers data and machine learning algorithm that focuses on improving itself by detecting fraudulent reviews.
The technologies include: profile clusters, sentiment analysis, cluster correlation and artificial intelligence intertwined with these functionalities.
Fakespot supports select Amazon sites only at the time of writing. The supported sites are Amazon.com, Amazon.co.uk, Amazon.ca, Amazon.com.au, and Amazon.in. All Vine and Discount Disclaimer reviews are considered unreliable by the service.
Closing Words
Fakespot is a handy service to get a first impression of the quality of reviews of a product on Amazon, Yelp, or TripAdvisor. I suggest you use it as a tool to get a quick reading on the quality of reviews of a product or business, but don't use it exclusively. You may want to check reviews manually as well, at least some, to verify the claim that Fakespot makes.
Now Read: Analyze Amazon reviews for authenticity
Doesn’t Windows 8 know that www. or http:// are passe ?
Well it is a bit difficulty to distinguish between name.com domains and files for instance.
I know a service made by google that is similar to Google bookmarks.
http://www.google.com/saved
@Ashwin–Thankful you delighted my comment; who knows how many “gamers” would have disagreed!
@Martin
The comments section under this very article (3 comments) is identical to the comments section found under the following article:
https://www.ghacks.net/2023/08/15/netflix-is-testing-game-streaming-on-tvs-and-computers/
Not sure what the issue is, but have seen this issue under some other articles recently but did not report it back then.
Omg a badge!!!
Some tangible reward lmao.
It sucks that redditors are going to love the fuck out of it too.
With the cloud, there is no such thing as unlimited storage or privacy. Stop relying on these tech scums. Purchase your own hardware and develop your own solutions.
This is a certified reddit cringe moment. Hilarious how the article’s author tries to dress it up like it’s anything more than a png for doing the reddit corporation’s moderation work for free (or for bribes from companies and political groups)
Almost al unlmited services have a real limit.
And this comment is written on the dropbox article from August 25, 2023.
First comment > @ilev said on August 4, 2012 at 7:53 pm
For the God’s sake, fix the comments soon please! :[
Yes. Please. Fix the comments.
With Google Chrome, it’s only been 1,500 for some time now.
Anyone who wants to force me in such a way into buying something that I can get elsewhere for free will certainly never see a single dime from my side. I don’t even know how stupid their marketing department is to impose these limits on users instead of offering a valuable product to the paying faction. But they don’t. Even if you pay, you get something that is also available for free elsewhere.
The algorithm has also become less and less savvy in terms of e.g. English/German translations. It used to be that the bot could sort of sense what you were trying to say and put it into different colloquialisms, which was even fun because it was like, “I know what you’re trying to say here, how about…” Now it’s in parts too stupid to translate the simplest sentences correctly, and the suggestions it makes are at times as moronic as those made by Google Translations.
If this is a deep-learning AI that learns from users’ translations and the phrases they choose most often – which, by the way, is a valuable, moneys worthwhile contribution of every free user to this project: They invest their time and texts, thereby providing the necessary data for the AI to do the thing as nicely as they brag about it in the first place – alas, the more unprofessional users discovered the translator, the worse the language of this deep-learning bot has become, the greater the aggregate of linguistically illiterate users has become, and the worse the language of this deep-learning bot has become, as it now learns the drivel of every Tom, Dick and Harry out there, which is why I now get their Mickey Mouse language as suggestions: the inane language of people who can barely spell the alphabet, it seems.
And as a thank you for our time and effort in helping them and their AI learn, they’ve lowered the limit from what was once 5,000 to now 1,500…? A big “fuck off” from here for that! Not a brass farthing from me for this attitude and behaviour, not in a hundred years.