Why Amazon Has A Fake Review Problem

00:16:03
https://www.youtube.com/watch?v=Mq_Ksga9uHY

Resumen

TLDRAmazon's marketplace faces significant challenges with fake reviews and counterfeit products, affecting consumer trust and genuine sellers' competitiveness. As e-commerce sales rise, fueled further by the pandemic, the spectrum of fake reviews has grown, impacting consumers' ability to make informed purchases. These reviews are often engineered through paid incentives, bot farms, and fake review groups on social media. Despite efforts by Amazon and legal actions by entities like the FTC, manipulation persists due to the vastness and complexity of the platform. Amazon employs machine learning and a team of investigators to combat fake reviews, but the volume of such activity exceeds their capacity. While tools like Fakespot and ReviewMeta provide consumers some recourse to identify authenticity, more robust solutions are needed. Legislation such as a California Assembly bill that seeks to extend product liability requirements to online marketplaces might incentivize better policing of these reviews. Ultimately, the fight against fake reviews is ongoing, requiring continued adaptation from platforms and policymakers.

Para llevar

  • 🔍 Fake reviews pose a significant challenge on e-commerce platforms like Amazon.
  • 🚨 The prevalence of fake reviews on Amazon spikes as unverified groups manipulate the system.
  • 💰 Incentives like payments and free products encourage fake review generation.
  • 🔧 Tools like Fakespot and ReviewMeta help users spot fake reviews.
  • 🏢 Amazon faces challenges regulating its vast marketplace but uses machine learning and investigators.
  • 💼 Legal actions by the FTC and potential new laws could enforce stricter regulations.
  • 👥 Click farms and bots are commonly used to artificially boost product ratings.
  • 🔑 Online marketplaces aren't held to the same liability standards as physical stores, impacting consumer safety.
  • 🔄 The fight against fake reviews is a persistent cat-and-mouse game.
  • 📉 Genuine sellers struggle against competitors manipulating reviews, affecting their visibility and sales.

Cronología

  • 00:00:00 - 00:05:00

    The video discusses the increasing prevalence of counterfeit goods, fake N-95 masks, and price gouging on Amazon, highlighting a broken review system with up to 40% fake reviews, undermining consumer trust. The video then explores how fake reviews are distorting the market, giving bad actors an edge, and making it difficult for legitimate sellers to compete. Instances include sellers soliciting fake reviews via social media and automated bots fostering competition by undermining genuine products.

  • 00:05:00 - 00:10:00

    The video describes the vast scope of the problem with fraudulent reviews, despite Amazon's efforts to counteract them. Legitimate paid review programs exist, but actions outside these programs are hard to monitor. Case studies include businesses like Simple Wishes facing stiff competition from cheaper knockoff products bolstered by fake reviews, resulting in a drop in sales. Big brands have also suffered, leading some to stop selling on Amazon. Further, the video illustrates the tactics like click farms and bots used to vote up or create fake reviews.

  • 00:10:00 - 00:16:03

    To tackle the issue, Amazon uses machine learning and skilled investigators but struggles due to the vast number of products and reviews. Efforts by startups and online tools aim to detect fake reviews. Amazon's liability is questioned, especially as fake reviews are regulated by the FTC. There's a discussion on legislation potentially holding online marketplaces to the same product liability standards as traditional retailers. The video ends by stressing the importance for Amazon to maintain control over its review systems amid its rapid growth.

Mapa mental

Mind Map

Vídeo de preguntas y respuestas

  • How has the percentage of fake reviews changed over time?

    Before the pandemic, fake reviews comprised 30% of reviews; this has risen to 35-40%.

  • What kind of platforms have been flooded with fake reviews?

    Amazon, Walmart, and eBay have all seen a surge in fake reviews.

  • What are common incentives for writing fake reviews?

    Incentives include free products and payment from sellers.

  • How does Amazon attempt to regulate fake reviews?

    Amazon uses machine learning and investigators to analyze review submissions and take action against abuse.

  • What are some methods used to generate fake reviews?

    Methods include using bots, click farms, and paying individuals to post reviews.

  • How has Amazon's review system change affected reviews?

    Changes allowing simple star ratings have made it easier for scammers to manipulate ratings.

  • What are review hijacking and brushing tactics?

    Review hijacking involves taking over popular listings; brushing involves generating fake orders to boost reviews.

  • What tools are available to consumers to detect fake reviews?

    Tools like Fakespot, ReviewMeta, and ReconBob can help identify fake reviews.

  • How do online marketplaces compare to brick-and-mortar stores in terms of liability for product quality?

    Online marketplaces like Amazon are generally not liable for product quality unless they act as the seller.

  • Has there been legal action against fake reviews?

    Yes, the FTC has prosecuted companies for fake reviews in cases posing severe health risks.

Ver más resúmenes de vídeos

Obtén acceso instantáneo a resúmenes gratuitos de vídeos de YouTube gracias a la IA.
Subtítulos
en
Desplazamiento automático:
  • 00:00:00
    From counterfeit goods to fake N-95 masks, price gouging to disappearing
  • 00:00:05
    orders, shoppers on Amazon have a growing need to proceed with caution
  • 00:00:08
    before clicking Buy Now.
  • 00:00:10
    Since Amazon's early days, reviews are the one big metric customers rely on
  • 00:00:14
    to determine the quality and authenticity of a product.
  • 00:00:18
    Turns out many of those reviews can't be trusted.
  • 00:00:20
    The review system as of today is broken.
  • 00:00:24
    Before the pandemic, the usual benchmark around our average fake reviews
  • 00:00:29
    was 30%.
  • 00:00:30
    The norm has now become close to 35%, 40%.
  • 00:00:34
    In recent years, thousands of fake reviews have flooded Amazon and Walmart,
  • 00:00:38
    eBay and others, just as sales numbers have skyrocketed.
  • 00:00:42
    And as shoppers stay home, online orders are up 57% since the same time
  • 00:00:46
    last year and the number of reviews is up 76%.
  • 00:00:50
    There's an element where you simply want to trust those stars and you want
  • 00:00:53
    to trust the numbers, because if you can't trust that, how do you know
  • 00:00:57
    what you're buying? From Facebook groups where bad actors solicit paid
  • 00:01:01
    positive reviews to bots and click farms that upvote negative reviews to
  • 00:01:05
    take out the competition, fake reviews have boosted sales of unsafe
  • 00:01:09
    products, caused huge brands to sever ties with Amazon and hurt business
  • 00:01:13
    for legitimate sellers.
  • 00:01:15
    We can't compete. We can't surface our products that are new and innovative
  • 00:01:19
    and truly valuable to consumers because other products that aren't so
  • 00:01:23
    great are playing this game of review manipulation.
  • 00:01:27
    We decided to find out why fake reviews have infiltrated Amazon, how
  • 00:01:30
    customers can spot an unreliable review, and what the trillion dollar
  • 00:01:34
    company and others are doing to stop them.
  • 00:01:44
    One big draw over competitors like Walmart, Target and eBay is that
  • 00:01:48
    Amazon's listings often have hundreds or even thousands of reviews instead
  • 00:01:51
    of just a handful. It's so easy, no matter what site you're on, to simply
  • 00:01:56
    say the most reviews with the most stars means the most level of
  • 00:02:00
    happiness. It's just simply not the case.
  • 00:02:02
    If those Amazon customers aren't really customers or if they're an
  • 00:02:06
    organization of paid individuals who just sit there and go five star, five
  • 00:02:11
    star, five star, that doesn't really tell me anything meaningful about the
  • 00:02:15
    product. Review software company Bazaarvoice did a study of 10,000
  • 00:02:18
    consumers at the end of last year.
  • 00:02:20
    42% of consumers are saying that fake reviews from the brand itself would
  • 00:02:27
    cause them to lose trust.
  • 00:02:28
    82% of those consumers are saying that would cause them to never buy that
  • 00:02:32
    brand again. The problem is fake and real reviews are getting harder to
  • 00:02:36
    tell apart. When you have no reason to think it's a fake review, that's
  • 00:02:39
    when the consumer's in the most danger.
  • 00:02:41
    And as shoppers increasingly turn online for things they'd normally want to
  • 00:02:45
    shop for in person, like the nursing bras made by Simple Wishes, there's a
  • 00:02:48
    higher chance of serious repercussions from the purchase of a counterfeit
  • 00:02:52
    or low quality product.
  • 00:02:53
    And if the product's Amazon page is filled with fake positive reviews,
  • 00:02:57
    shoppers won't know to steer clear.
  • 00:02:59
    We see reviews of people saying that their breast tissue was torn and
  • 00:03:03
    irritated and bleeding because of irritating seams.
  • 00:03:07
    And, you know, we see things like this or like this product broke or it
  • 00:03:11
    tore after I wore it three times.
  • 00:03:14
    You see those real reviews surface and then all of a sudden there'll just
  • 00:03:17
    be massive positive reviews.
  • 00:03:19
    A high rating can also trigger the coveted Amazon's Choice badge, although
  • 00:03:23
    Amazon did say it will delete the badge if a product isn't adhering to
  • 00:03:26
    policy. Amazon prohibits any attempt to manipulate reviews and told CNBC
  • 00:03:31
    it will suspend, ban and take legal action against those who violate these
  • 00:03:35
    policies. For any review, even the most genuine, it always is worth asking
  • 00:03:41
    why is someone writing that review?
  • 00:03:43
    What is the incentive to write that review?
  • 00:03:45
    Free products and payment are increasingly common incentives.
  • 00:03:48
    Sellers solicit pay-for-play reviews through popular Twitter accounts and
  • 00:03:52
    Facebook groups with thousands of members.
  • 00:03:54
    So I joined some of these groups just to kind of poke around.
  • 00:03:57
    And the first groups I joined, there were five different postings from our
  • 00:04:02
    competitor asking for a review.
  • 00:04:05
    I felt like I just struck gold finding my competitor there, reported it to
  • 00:04:10
    Amazon and nothing happened.
  • 00:04:12
    UCLA and USC released a study in July that found more than 20 fake review
  • 00:04:17
    related Facebook groups with an average of 16,000 members.
  • 00:04:21
    In more than 560 postings each day, sellers offered a refund or payment
  • 00:04:26
    for a positive review, usually around $6.
  • 00:04:29
    Amazon told CNBC it works with social media sites to report bad actors who
  • 00:04:33
    are cultivating abusive reviews outside our store.
  • 00:04:36
    And we've sued thousands of bad actors for attempting to abuse our reviews
  • 00:04:39
    systems. The FTC requires reviewers to disclose any payment or connection
  • 00:04:44
    to the product being reviewed.
  • 00:04:45
    On some sites like Fiverr and Freelancer, users get around this by
  • 00:04:48
    advertising marketing services, a thinly veiled reference to pay-for-play
  • 00:04:52
    reviews. There's also the more direct approach where sellers include a
  • 00:04:55
    note inside a package asking for a review in exchange for a discount or
  • 00:04:59
    other compensation. It's hard to keep on top of five million sellers and
  • 00:05:04
    600 million products.
  • 00:05:05
    There's always a few bad seeds in the mix, and it's the bad seeds that get
  • 00:05:09
    the attention. It's not that Amazon's sitting back doing nothing.
  • 00:05:12
    It's that the scope of what we're dealing with is so vast.
  • 00:05:15
    There are legitimate paid reviewer programs like Amazon Vine, Early
  • 00:05:19
    Reviewer and Amazon Associates, which require reviewers to disclose that
  • 00:05:23
    they've received a product for free in exchange for what's supposed to be
  • 00:05:25
    an honest review. But Amazon has little way to detect a compensated review
  • 00:05:29
    when deals are made outside these programs.
  • 00:05:32
    There's a Velcro panel in the back so you can constantly reset the size and
  • 00:05:35
    it's always the proper support.
  • 00:05:37
    Sisters Joy Kosak and Debra Abbaszadeh designed a new type of hands-free
  • 00:05:41
    pumping bra and started selling it on Amazon in 2009, where sales took off
  • 00:05:45
    quickly. But for the past three years, sales have been flat, dropping off
  • 00:05:49
    after Amazon started to openly court Chinese sellers to join its
  • 00:05:52
    marketplace. Cheaper bras with an exceptionally similar design to theirs
  • 00:05:56
    started popping up, getting hundreds of five star ratings seemingly
  • 00:05:59
    overnight. When that happened, we saw a pretty immediate race to the
  • 00:06:04
    bottom in terms of pricing.
  • 00:06:07
    The sisters have been tracking review activity on listings from competitors
  • 00:06:10
    like Momcozy and sharing the data with Amazon.
  • 00:06:12
    Our best seller, where we used to be number 25 in baby, we over the past
  • 00:06:20
    ten years of being on Amazon, we have collected a little more than 10,000
  • 00:06:24
    reviews. It took them a couple of months to to increase by 4,000.
  • 00:06:32
    Big brands like Nike and Birkenstock have been so burned by competitors
  • 00:06:35
    selling knockoffs with thousands of five star reviews that they stopped
  • 00:06:38
    selling on Amazon altogether.
  • 00:06:40
    Although Nike's landing page still appears active on Amazon, the items
  • 00:06:43
    there are being sold by third-party sellers.
  • 00:06:46
    They're fake, they're counterfeit.
  • 00:06:47
    They're either bought from Alibaba or eBay and then they're resold on
  • 00:06:51
    Amazon. So a lot of these sellers are actually ruining Nike's reputation
  • 00:06:56
    and they're putting in all the reviews into the official listing for Nike.
  • 00:07:01
    At times, big brands themselves are soliciting fake reviews.
  • 00:07:04
    Last year, for example, skincare brand Sunday Riley settled with the FTC
  • 00:07:08
    after it was caught encouraging employees to post fake reviews on
  • 00:07:11
    Sephora.com. On Amazon if you're not doing some sort of, you know, tricky
  • 00:07:15
    technique, it's at least one hundred orders for each review that you get.
  • 00:07:20
    Bernie Thompson sells about 120 consumer electronics products on Amazon
  • 00:07:24
    from his warehouse outside Seattle.
  • 00:07:26
    Competitors have tried to undermine his sales with fake review tactics.
  • 00:07:29
    We've had people take our most negative review, the one that's most
  • 00:07:33
    embarrassing, and we've had competitors vote up those negative reviews.
  • 00:07:36
    Let's say your competitor has a one-star review on the first page, you can
  • 00:07:40
    buy 100 helpful votes.
  • 00:07:42
    When they're considered most helpful, they show up at the top of the
  • 00:07:45
    results. And so you can really harm your competitors by doing that.
  • 00:07:48
    That helpful box can easily be clipped by bots instead of humans or by
  • 00:07:52
    click farms overseas.
  • 00:07:53
    The ones that I've been contacted by are all in Bangladesh, India, I think
  • 00:07:56
    one of them, Vietnam.
  • 00:07:58
    They have computers and they've got fake accounts and they basically turned
  • 00:08:02
    in this whole system where they go in and just click on "helpful" once and
  • 00:08:06
    then log into a different account and then click on "helpful" again and so
  • 00:08:09
    on to where you can just pay for basically taking down your competitors.
  • 00:08:13
    Bots are also getting better at generating convincing written reviews.
  • 00:08:17
    We actually see a lot of these fake review farms leveraging open source
  • 00:08:20
    projects from these behemoths, such as Google, Open AI, multibillion
  • 00:08:25
    dollar research firms and leveraging it to produce fraud.
  • 00:08:29
    And by this case, we're producing human like text that looks like really
  • 00:08:34
    realistic. Amazon's own algorithms do usually detect these patterns and
  • 00:08:38
    remove them within weeks.
  • 00:08:39
    Amazon says we're going to wait 30 days and if we detect that there's
  • 00:08:44
    enough fake reviews, we'll pull back those fake reviews.
  • 00:08:47
    The problem is, during that 30 day policing period, the product can
  • 00:08:51
    generate a whole lot of sales that it didn't otherwise deserve.
  • 00:08:54
    In 2019, Amazon changed its review system so customers can leave a simple
  • 00:08:58
    star rating with one click instead of a full written review.
  • 00:09:01
    This tool that Amazon put out there to make it easier for consumers to give
  • 00:09:05
    real feedback has actually made it easier for the scammers to elevate
  • 00:09:10
    their star rating, just the volume, because now all they have to do is say
  • 00:09:14
    all you have to do is click a button.
  • 00:09:16
    No one can tell who left the rating.
  • 00:09:18
    You will not see those ratings as a list of authors on the bottom of the
  • 00:09:22
    page. And we see products with thousands of ratings that have no body,
  • 00:09:26
    text body attached to them.
  • 00:09:28
    While a rating can only be left by someone who bought the product, Amazon
  • 00:09:32
    allows reviews from anyone even if they haven't made a purchase.
  • 00:09:35
    We see certain categories have over 90% of the reviews on the product are
  • 00:09:40
    unverified. And when you look at them, it just looks like a flood of bot
  • 00:09:44
    reviews. What Amazon does is they give different weights to different
  • 00:09:47
    kinds of reviews and so a verified purchase review will have more of a
  • 00:09:50
    weight than someone who wasn't verified.
  • 00:09:52
    But the intention is that you could have bought it at Walmart and want to
  • 00:09:55
    review it. You could have bought it somewhere else and want to review it.
  • 00:09:59
    And then there's a slew of new tricks popping up from bogus seller accounts
  • 00:10:02
    to mysterious free Amazon packages appearing on people's doorsteps.
  • 00:10:06
    In one tactic known as Review Highjacking, a seller takes over a once
  • 00:10:09
    popular listing. So you'd have these crazy situations where, you know, our
  • 00:10:14
    product was a USB hub but we had to discontinue it.
  • 00:10:18
    And somebody's selling like women's eyelashes would take over that product,
  • 00:10:22
    change the picture to women's eyelashes, change all the text.
  • 00:10:26
    The reviews would show these 2,000 positive reviews.
  • 00:10:29
    But if you'd read the reviews, they're not about eyelashes.
  • 00:10:32
    They're about a USB hub.
  • 00:10:34
    Another recent tactic involves seed packets from China showing up at
  • 00:10:37
    hundreds of people's houses who don't know where they came from.
  • 00:10:41
    The Better Business Bureau warns that the scam, often called Brushing,
  • 00:10:44
    means the seller is using the seeds to generate fake Amazon orders tied to
  • 00:10:47
    U.S. addresses. Then they can write fake verified reviews about themselves
  • 00:10:51
    falsely inflating their seller rating.
  • 00:10:53
    Then there's sock puppet reviews, which are bogus accounts created by a
  • 00:10:57
    seller to write positive reviews on their own products.
  • 00:10:59
    Sellers can also hack into a customer's Amazon account and post a positive
  • 00:11:03
    review from there without the customer ever knowing.
  • 00:11:06
    And they're all new products that are getting reviews at an amazing rate.
  • 00:11:09
    It's just not, it's not believable.
  • 00:11:12
    With so many ways to create realistic fake reviews, some start-ups have
  • 00:11:16
    developed ways to detect them.
  • 00:11:18
    Fakespot is one of these.
  • 00:11:19
    Fakespot launched a new Chrome plugin in May that has a quarter million
  • 00:11:22
    downloads so far. It analyzes the credibility of a listing's reviews and
  • 00:11:26
    gives it a grade from A to F.
  • 00:11:28
    The Fakespot Guard will actually catch these sellers dynamically as you're
  • 00:11:31
    browsing Amazon.
  • 00:11:33
    And we will offer you an alternative seller that is authentic and genuine
  • 00:11:38
    that we've seen before that has high customer satisfaction.
  • 00:11:40
    Other online tools that customers can use to check the credibility of
  • 00:11:44
    Amazon reviews include ReconBob, ReviewMeta, the Review Index and Review
  • 00:11:48
    Skeptic. Shoppers willing to spend time to vet their purchases can
  • 00:11:52
    manually spot fake reviews, too.
  • 00:11:54
    The number one way consumers tell us they identify a fake review are
  • 00:11:57
    multiple reviews with the same language in them.
  • 00:12:00
    So they're basically looking for patterns in the reviews.
  • 00:12:03
    The second most important way is reviews that are not actually about the
  • 00:12:07
    product. The third is poor grammar and misspellings.
  • 00:12:12
    And the fourth, and I actually think this is one of the more important ones
  • 00:12:15
    is overwhelming number of five-star positive reviews.
  • 00:12:18
    If a product only has two or three reviews that it's gathered over a long
  • 00:12:24
    period of time and those two or three reviews look pretty good, consumers
  • 00:12:29
    actually need to give kind of more trust to a product like that.
  • 00:12:32
    Clearly, that brand and that manufacturer, they're not gaming anything.
  • 00:12:36
    If you do spot a fake review, Amazon encourages customers to use the report
  • 00:12:40
    button next to each review.
  • 00:12:41
    But whether Amazon will take any action after fake reviews are reported is
  • 00:12:45
    a different question. We go down these rabbit hole that take a lot of time
  • 00:12:49
    to look for this information and then we share it with Amazon and nothing
  • 00:12:52
    happens. And it's just exhausting.
  • 00:12:54
    After CNBC brought Simple Wishes' complaints to Amazon, months after it was
  • 00:12:58
    first informed of the illegitimate reviews, Amazon said, "We've taken
  • 00:13:01
    appropriate action on these accounts." Amazon told CNBC it uses powerful
  • 00:13:06
    machine learning tools and skilled investigators to analyze over ten
  • 00:13:09
    million review submissions weekly, aiming to stop abusive reviews before
  • 00:13:12
    they're ever published. Getting Amazon to actually do investigations,
  • 00:13:16
    quite frankly, they don't have enough investigators to do all the possible
  • 00:13:19
    investigations needed.
  • 00:13:21
    When I was at Amazon, there was a time when Amazon had about 20
  • 00:13:24
    investigators for the whole United States.
  • 00:13:26
    There was over a million sellers on Amazon at the time and there were 20
  • 00:13:29
    investigators. In an unprecedented move, Amazon hosted a virtual
  • 00:13:33
    conference earlier this month to give tips and listen to concerns from its
  • 00:13:36
    third party sellers, who make up 58% of Amazon's e-commerce business.
  • 00:13:41
    When it comes to outside regulation, fake reviews are prohibited by the
  • 00:13:44
    FTC, but it's a complex issue.
  • 00:13:45
    Where you can leave a review and you receive some kind of compensation, you
  • 00:13:50
    need to put in a disclaimer.
  • 00:13:51
    And that's consumer law.
  • 00:13:53
    That's been around for a while.
  • 00:13:56
    But there are different ways that this is now being gamed.
  • 00:13:58
    There is no law attached to ratings where you can leave them without text.
  • 00:14:02
    Targets and Walmart, they are they are held to a higher standard.
  • 00:14:08
    They have to vet products that they put on their shelves or through their
  • 00:14:12
    e-commerce platform because they are liable.
  • 00:14:15
    And that's the huge difference here.
  • 00:14:17
    Unless Amazon is purchasing the product from the seller as a wholesale
  • 00:14:22
    purchaser and they are representing as the seller, they have zero
  • 00:14:25
    liability. And that's frightening.
  • 00:14:29
    Last year for the first time, the FTC prosecuted a company for fake reviews
  • 00:14:32
    on Amazon. The inflated reviews were for a weight loss supplement that's
  • 00:14:36
    made with a plant that can cause acute liver failure.
  • 00:14:39
    You can already see the FTC becoming more interested in reviews.
  • 00:14:43
    They treat reviews as a form of advertising because of the influence that
  • 00:14:48
    it has on us as shoppers.
  • 00:14:50
    Now, Amazon supports a California Assembly bill that would subject online
  • 00:14:54
    marketplaces to the same product liability requirements as
  • 00:14:57
    brick-and-mortar retailers, despite years of Amazon successfully fighting
  • 00:15:00
    lawsuits against such rulings.
  • 00:15:02
    If passed, it could incentivize Amazon and others to better police fake
  • 00:15:06
    reviews. Amazon owns the keys to that data, and they they can do it.
  • 00:15:10
    I know they can. As Amazon continues to help people stay safely at home,
  • 00:15:14
    the need for shoppers to trust the reviews and order with confidence has
  • 00:15:17
    never been higher. It's really almost a societal level issue of, you know,
  • 00:15:22
    can Amazon kind of keep control of its systems and live up to the
  • 00:15:27
    dependency that we have on them?
  • 00:15:30
    And I think the you know, honestly, they've been growing so fast that
  • 00:15:34
    they've been struggling with it.
  • 00:15:35
    On one hand, Amazon is getting better about policing.
  • 00:15:38
    On the other hand, it's a cat and mouse game.
  • 00:15:40
    You know, that probably will never end.
Etiquetas
  • Amazon
  • Counterfeit
  • Fake Reviews
  • E-commerce
  • Fraud
  • Consumer Trust
  • Legislation
  • Product Quality
  • Amazon Vine
  • Click Farms