Worst reviews on glassdoor


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My eyes opened to this after leaving my last company. They announced layoffs shortly after I quit and Glassdoor was inundated with a flood of long, detailed reviews expressing concern and unhappiness around all the issues that had caused me to leave voluntarily.

The company's star rating dropped from 3. Then, mysteriously, within the space of a week, almost all of the negative reviews vanished from Glassdoor, and a lot of bland 4 star "well there's good and bad, some mistakes were made, but despite the past few months, overall it's good" appeared, pushing the handful of negative reviews that remained off the front page.

I know from former colleagues that management had "suggested" staff write these sorts of reviews. Now the company rating is higher than it was before the layoffs and I am completely disillusioned with not only that company, and Glassdoor, but the fakeness of the industry as a whole. Online review systems are dead. Surely some must still be valid, but the well is poisoned, and nothing can be trusted. We've come full circle. Word of mouth is all you can trust. The Internet as a great "disintermediation" medium is over.

From this I get you mean "word of mouth" in a very physical way? As in "my cousin Jane says Because "Word of mouth" over the internet would imply that The Internet still has a big role to play in disintermediation. Would "reviews" from your network, any network, physical, or digital, of people you know, be valuable? I believe that a "review" is only useful if you know the reviewer well enough.

Regardless of the medium. For example, when "angry uncle Joe" rants about some libtard-foreigner-restaurant-scum which is ruining the neighborhood with their horrible foreign food, I know how to take that 'review' of the restaurant.

Same when aunt Carol explains how she heard from the new boyfriend of the cousin of Foo that her brother said that she heard from.. But when a friend who knows a lot about fintech explains that SomeBank is really doing a lot of interesting tech and hiring, I also know how to take that.

If you know who the "review" comes from, you can trust it. Otherwise you cannot. I assume this comes down to "word of mouth", though. I think "word of mouth" just means opinions about products that are communicated to you via a network of acquaintances, acquaintances of acquaintances, etc. That communication can obviously still happen over the internet. The point is that when you're looking for a toaster oven and your friend says that his coworker's spouse just got a ToasterGenius Model Z and they're happy with it, you can be fairly confident they're not shilling for ToasterGenius.

They may not know anything about toaster ovens, and they may not have the same toasting needs as you, but at least you can probably trust that their opinion is genuine. Not only you can trust the opinion is genuine, you can also gauge it. You probably know your friend well enough to tell if they know anything about toasters or evaluating consumer products in general, and whether their views and needs corresponds to yours. This kind of ability is what makes word-of-mouth within your social network super useful.

On top of that, if your friend ends up purposefully shilling for a MLM, they're doing that at the risk of immediately burning your friendship. Tangential: MLMs are social cancer that prey on relationships between friends and family members; they should be excised from this planet. I don't think it needs to be physical but if I google a company and a big rant about them on reddit comes up coupled with a bunch of positive feedback on linkedin and glassdoor then I'm going to trust the reddit poster more.

It might be someone grumping without fair grounds about unfair treatment but that's the only testimonial you can really trust these days. And if the reddit post is a competitor paid smear, timed with some event, how could you possibly know? In that case, the glassdoor, linkedin, and reddit testimonial have the same weighted value of 0, as neither the quantity nor quality of reviews online can be trusted anymore.

If nothing else, looking at the history of the account be it HN, Reddit, or something else can give you a sense of legitimacy. Of course, even that could be faked or purchased, but if you have someone who seems to have a variety of other interests besides slagging companies, at least right now you can trust that it's a genuine review from a personal perspective.

Other folks might reply differently but my honest response is - I'm not going to do that. When I've switch jobs I've never had a shortage of offers so if I saw that post it'd raise a flag for me and I'd be less inclined to follow up with that company - other really positive factors might swing it back or not. This means I might end up missing a great opportunity but job searches are never exhaustive and we all just try to do the best we can to evaluate different positions with our limited resources.

I wouldn't - glassdoor and other moderated discussion boards allow for these smear campaigns to be weeded out but if their usage declines significantly then smear campaigns are going to get a lot more effective again. I'm not saying the point I outlined above is the best outcome for the world, it's just the outcome for me and it's pretty regrettable that we're sliding back into it.

To me the in-person-ness of the word of mouth doesn't matter, what's important is that word of mouth is coming from people you know in real life, not internet-only friends, gaming buddies, Twitter followers, etc. So that real friend could text you the word of mouth recommendation instead of telling you at work, over dinner, or at a party, but the reason it's more valuable is because ostensibly that real life friend wouldn't recommend something that was garbage to you since there is meatspace social capital involved.

Yes, in the context of a relationship. A "review" from someone one has some kind of relationship is more meaningful. Possibly a weak one, like a fellow HackerNews poster. Which brings back the Internet--helps one form new kinds of relationship. You need to trust whoever is providing the review, there is no easy way to magically make a bunch of random reviews trustworthy.

Otherwise tech companies might selectively show you reviews: Your friend Alice's quite sincere glowing review, but not your friend Bob's also sincere scathing one.

When I wrote "word of mouth" I meant a mouth that I can see move from someone I know. I should have made that clear, sorry. No problem, and no need to excuse yourself! I was merely curious and started thinking about the implications. Real people on the internet can still be trusted. Just not companies that try to monetise your opinion. Another example is Youtube. It used to to be free to watch videos; now there are multiple ads being shown. I'll give it 10 years before the internet becomes exactly like cable in the early s.

I take a different stance: the scientific method is all you can trust. Word of mouth is also inherently biased e. Even if a scummy company deletes 1 star reviews, there might still be 2 star ones, or 3 star ones that are in my experience, anyways more grounded than the more impulsive 1 and 5 star counterparts. A keen applicant of the scientific method would question a unnatural distribution of high reviews with low information density, not because of prior accusations of foul play, but simply because one wants to come up with a reasoned theory of how the dynamics of review systems play out in general.

You may not necessarily have hard evidence that intentional shenanigans are occurring in any given review system, but you can still make up your mind in terms of what are likely factors for why reviews are the way they are and how much weight you're comfortable putting in them. Not clear how you will apply a scientific method to a site that can hide, convince, bribe, censor, etc users so the information you gather is incomplete to have a good analysis.

More when people have a short focus span and a scientific method is complex. This is just my personal interpretation, but the way I approach is I create a trustworthiness score for the set of reviews. For example, too many 5 stars without comments and without low stars might earn a low trustworthiness score because the distribution looks unnatural compared to the distribution in similar competitors.

Or a set of 6 reviews, no matter their distribution will also receive a low trustworthiness score simply because there's not much to go on. Reviews of a restaurant complaining about a particularly egregious experience earn a low trustworthiness score since it looks like an outlier and there's emotions running wild.

Review sets with a decent number of 3 star reviews containing several well-articulated paragraphs tend to earn a high trustworthiness score. So, rather than the score being a dimensionless good-or-bad scale, it's a meta analysis of the reviews, judged on multiple dimensions.

And that's ok, because the very fact that I've considered so many different dimensions also tells me that there isn't necessarily a single absolute best option. This, in my mind, seems like a more accurate depiction of reality than blindly ranking by number of 5 star reviews. The problem I see with that approach is that modern transformer based NLP like GPT3 make generating this sort of "review" text almost free. The value you place in those reviews is the perceived effort put into them.

When that effort goes to zero Honestly, I don't see how to trust reviews if the reviewers have no skin in the game either their reputation or money.

Honestly, one theory of advertising like McD and bigC is that they throw money at pretty ads to convince you that lots of people have given them money so they must be good GPT3 is certainly a valid thing to consider, but I think it has some weaknesses e.

Makes me want to build an ML system to rate ratings. Of course that could escalate into an arms race. ProAm on Oct 15, root parent prev next [—].

It can't be hard to create a new review site? If the fundamental problem is trust, are you really suggesting that "it can't be hard to create" that trust? A distributed trust network is a really interesting hard problem but does seem solvable in some ways as seen by blockchains, though they have their own issues.

I've wondered if a somewhat simplistic graph based solution could work, inspired by organizations like medieval guilds and the mafia, where you generally need to be invited to the trust network and promoted to be more trusted within the network as others vouch for your trustworthiness.

Suspicious users are highly punished in the real life examples, often violently and quickly removed from the network. Surely there's something like this out there, though?

Or is this just not a valuable business problem to solve? It sounds like you're describing a product review site implemented as a distributed trust network, and the plan to establish the trustworthiness of contributors is to bolt on a contributor review site implemented as a distributed trust network. Isn't this how recommendations in social networks work?

How many people in a "friends" list are people you actually know? I want a review site where I can only see reviews from people I have vetted could be pseudonymous.

Proving that reviews haven't been removed might actually make this a real application for a blockchain. Of course, there's no reason whatsoever to use a blockchain for this. The review website could simply offer dumps of their data signed with their private key. Problem is, you will be forced by courts to remove some reviews for the usual reasons, making you instantly untrustworthy.



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Job site Glassdoor posts evaluations of companies by workers and produces ratings based on the reviews, like Trip Advisor for places to visit. The Telegraph browsed the site, looking at dozens of company profiles, and randomly selected 10 that had a rating of 2. Here are the 10 as presented by Mirror Money and not revealed here in any particular order. Common complaint at the high street brand among former and current employees was that their jobs involved "lone working for substantial period of time". Employees at the Financial Ombudsman Service FOS complained of "challenging" and "stressful" conditions where workers "don't have enough time to do what's asked of us". A William Hill spokesperson said: "William Hill employs 13, people in the UK many of whom tell us they love their jobs - in particular the interaction they have with customers and colleagues.

Glassdoor has 6 G3 reviews submitted anonymously by G3 employees. G3 ENTERPRISES, INC. E. Show More. G3 Enterprises is the worst place to work.

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worst reviews on glassdoor

This page has been peer-reviewed, fact-checked, and edited by multiple qualified attorneys and legal professionals to ensure substantive accuracy and coverage. Our publication process is robust, following a step content creation and review process. Unfortunately, negative and fake reviews on Glassdoor can discourage potential employees and job applicants and lead to online defamation of a company or business owner. Having a favorable profile on Glassdoor, on the other hand, is vital for employers to attract the best caliber candidates.

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And when that happens she gets so upset and discouraged!! I spent a lot of time, money, and effort childproofing my house… but the kids still get in. If you're seeing signs you should quit your job, take matters into your own hands by doing things like planning for a new career and making your life outside of work more enjoyable. So the way I see it, I can't work. I am sick most of the time.

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Teleperformance is the agile business services partner that companies need in this digital world. Job Security - I was hired as a contractual employee for a period of 3 months. Everyone in our batch with a good rating was offered a permanent position in the company.


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