Product reviews are now widely used by individuals and organizations for their decision making. If one sees many positive reviews of the product, one is very likely to buy the product. However, if one sees many negative reviews, he/she will most likely choose another product. Positive opinions can result in significant financial gains and/or fames for organizations and individuals. This, unfortunately, gives good incentives for opinion spam.
However, due to the reason of profit more and more people are trying to game the system by writing fake reviews to harm or promote some products or services. A fake review means that it is either a positive review written by the business owners themselves (or people they contract to write reviews) or a negative review written by a business’s competitors.
Below is a compendium of studies, explanations and resources on how to spot fake consumer reviews on products, hotels, restaurants, etc.
Google is investing part of its resources to support a research project at the University of Illinois in Chicago that aims to identify fraudulent commentary aimed at harming or promote a product or service.
One of the main goals is precisely the search for organized groups of people who comment fraudulently together to promote or denigrate any kind of products on the Internet, so that you can automate the process of identifying them and delete these comments and their associated accounts .
The fake reviews and analysis can have devastating effects on all types of Internet businesses and the promotion of social services like Yelp or TripAdvisor recommendation made that user feedback on both the negative and the positive become endemic.
Researchers have presented an algorithm called GSRank they believe may offer certain guarantees to combat these types of fraud, based on various tracks. Among them, the date range of comments, good or bad comments usually occur in a short space of time, or the diversion/distribution of those grades-many similar qualifications will suspect that product or service.
In the study published by researchers can reveal some of the factors that help to detect such fraud GSRank, and hope that this will make markedly decrease these behaviors on the Internet.
Basic Pattern of Fake Reviews
Observing a small group of three fake reviewers/accounts lead to the following findings:
- Same product reviewed by the common group.
- High rating by group members.
- Narrow time window within all rated products.
- Group reviewed the same set of products.
- Quick to rate. Usually first or among first to review.
In the words of Dan Petrovic in his post Discovering Fake Consumer Reviews With GSRank:
This research does not only help stores or sites, like Amazon, Yelp or TripAdvisor, and their customers but it also carries much wider potential. Search engines can now apply GSRank model to discover fake reviews and normalize their aggregate ratings for products, places and various other features.
Check out some articles exposing as finding ways to detect fake reviews
- 7 Ways to Spot Fake Online Reviews: You needn’t employ a secret algorithm to ferret out the fakes. Follow these tips to find the critiques that count.
- How to Spot a Fake TripAdvisor Review: If you’re planning a vacation be sure to check out hotel reviews on TripAdvisor.com, but also know how to spot fake hotel reviews.
- How to Detect a Fake TripAdvisor Review: User-generated travel review sites are notoriously unreliable. Learn how to read between the lines of the big travel review sites such as TripAdvisor.
- How To Remove Fake False Reviews From Google Search Engines
- Spot a fake travel review
How to pick up deceptive cues online by obvious patterns on reviews
And check out this interesting answer from a former Yelp worker, who is asked about “What fraction of Yelp reviews are fake?“
Around The Web:
- 12 Statistics On Consumer Reviews by SearchEnginePeople
- Fake Reviews Are Becoming An Even Bigger Problem For Businesses by Business Insider
- Reputation Changer: Complaints, Online Reviews Can Be Duplicitous and … by Sacbee.com
- Five Ways To Spot A Fake Online Review, Restaurant Or Otherwise by WBUR.org
- Reality Check: 10-15% Of Social Media Fans, Likes And Reviews Will Be Fake … by Techcrunch
- Report: 15 Percent Of Social Media Ratings, Reviews, Facebook Likes May Be … by AllFacebook.com
- That’s Progress! More Fake Reviews Coming by MediaPost.com
- Fake Customer Reviews Problematic for Companies like TripAdvisor … by TMCNET
- Buyer Beware: 6 Dead Giveaways that a Review Is Fake by PCWorld
- Fake Customer Reviews and Internet Law by MikeYoungLaw.com
- Spotting Fake Reviewer Groups in Consumer Reviews (PDF) by University of Illinois at Chicago