Fraud

[jass]

I understand the need to prevent fraud, but I also believe that models should be protected from fraudulent users. These tokens were received as payment for our work and time, and as models we have no way of knowing whether a user’s tokens are legitimate or were obtained fraudulently.


We cannot see the information or risk indicators that your fraud prevention department has access to, so it is very difficult for us to identify fraudulent users in advance. I understand that fraudulent tokens may need to be removed, but it feels unfair for the loss to fall entirely on the model when we had no way of knowing.


Please consider implementing stronger protection for models by detecting and stopping suspicious users before they can send large amounts of fraudulent tokens. If there are specific signs we should watch for, please clearly explain them to us so we can report suspicious activity immediately.

 

[jass]

@AmberCutie @punker barbie

 

[punker barbie]

@punker barbie

Kindly allow our support team sufficient time to review your issue. We appreciate your patience and will respond as soon as possible.

 

[jass]

Hello, I understand that the payout has been restored, but the money was removed because some of the tips were considered fraudulent.


I completely understand that you need to protect the platform from fraud, but I don’t think it is fair to make the model responsible for something she cannot detect or control. I am doing everything that is required from my side, and I have no way of knowing whether a tipper is using fraudulent tokens.


I work for these earnings, so it is very difficult for me to have money removed afterwards because of something I had no way of knowing about. If there are fraudulent users, please help protect the models from them rather than making the models lose their earnings.


Could you please review my case again and let me know if there is any possibility of restoring the removed amount? I would really appreciate your help

 

[yummybrownfox]

You didn't need to tag AmberCutie in your post because she doesn't work for Chaturbate. Punker Barbie (who was the correct person to tag) does.

 

[MeAbc]

I understand the need to prevent fraud, but I also believe that models should be protected from fraudulent users. These tokens were received as payment for our work and time, and as models we have no way of knowing whether a user’s tokens are legitimate or were obtained fraudulently.


We cannot see the information or risk indicators that your fraud prevention department has access to, so it is very difficult for us to identify fraudulent users in advance. I understand that fraudulent tokens may need to be removed, but it feels unfair for the loss to fall entirely on the model when we had no way of knowing.


Please consider implementing stronger protection for models by detecting and stopping suspicious users before they can send large amounts of fraudulent tokens. If there are specific signs we should watch for, please clearly explain them to us so we can report suspicious activity immediately.

SC doesn't kick models off their broadcast when a chargeback fraud happens because they have chargeback fruad protection and models can keep tokens recieved. I had a chargeback fruad happen once. I banned that fruadulant viewer perminantly without loss of tokens. So if you are ever kicked off off CH you could give SC a try. However, you may want to explore other cam modling sites as a backup because I sometimes feel like I may be kicked off or accused of other things though.

 

[cbhours]

There are two main motivations for fraud:
1. To spend the tokens on models.
2. To turn the tokens into cash/crypto.

When Chaturbate says these things what they are really saying is that they don't think you colluded with them (if they did you would be banned) but if you did then stop and report any future events.

If it's #2 obviously the model knows but if it's #1 the model probably doesn't know it's fraudulent but may know if it's one of their users on another account.

As far as stopping them before it happens... let's say that CB has a way to identify that particular fraudulent token user, you might think it's best to stop them at the purchase point right? But if they do that then it becomes obvious and they will eventually figure out how they are being identified. (This is not a cb only thing but a very common practice across the internet)

 

[jass]

What has been happening to me recently is that some big tippers come into my room, and I receive their tokens normally in exchange for my work and effort. I have no way of knowing or proving that a tipper is a fraudster.


My concern is that I don’t know how I can protect myself from this kind of fraud or whether the same thing could happen to me again. Yesterday, I couldn’t even work because I was scared that I might receive a large tip and then have the tokens taken back later.


As a model, I have no way of knowing the source of someone’s money or whether their payment is legitimate. I just want to understand how I can protect myself and avoid being put in this situation again.

 

[cbhours]

My concern is that I don’t know how I can protect myself from this kind of fraud or whether the same thing could happen to me again. Yesterday, I couldn’t even work because I was scared that I might receive a large tip and then have the tokens taken back later.

Statistically speaking I wouldn't worry about it while chargebacks/fraud happen occassionally its not likely something thats going to become a frequent issue.

 

[jass]

Unfortunately, it has already happened to me twice, so that’s why I’m worried that it could happen again. It’s becoming difficult for me to feel comfortable working when I’m afraid that the same thing might happen again

 

[Vixxen81]

Unfortunately, it has already happened to me twice, so that’s why I’m worried that it could happen again. It’s becoming difficult for me to feel comfortable working when I’m afraid that the same thing might happen again

If you have never seen the user before and they drop large amounts, email support and ask. There, now you've done your part. That's all you can do. I've had to do it and it came out fine.