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How to Stop Scammers on Your Dating Site
We see reports of dating-related crimes every day. FBI warns of dating site scams. Many people are losing their money. But even if one does not lose the money after communicating with a fake person, it can still lead to disappointment and discourage people from coming back to your site again.
So what do you do?
You can help your dating service members by doing (a part of) the vetting job for them. Use technology to make sure that your users are genuine people, who are really interested in what your service is about.
Try Scamalytics, the shared blacklist of scammer profiles and network data. The system uses machine learning, image recognition, and other methods to identify suspicious behaviour and protect your users from bad actors.
How does it work?
The Scamalytics API evaluates user behaviour and responds with a score in real time which allows the system to automatically remove fraudulent users, even when moderators are away.
Checking images against millions of blacklisted images to make sure they are instantly eliminated from going live on your site and putting real people off.
Detecting scammers and differentiating between custom scammer signals and scammer trends that are emerging globally.
-Text Pattern Analysis
Looking for patterns in freeform text and messages that detect “scammer grammar” vs normal local use of grammar.
Watch this interview with the service founders.
PG Dating Pro team can create a special table in the database that will track users' scam statuses and all the information that the Scamalytics API requires from us. Then the system will receive the response and act upon it by either removing/blocking suspicious users or by storing the data for further inspection.
We need to collect $1,500 to do the integration. Let us know if you are interested and would like to participate by investing, say, $100. If we collect enough payments, we will be able to automate the process.
|Professional support||e-mail / chat / helpdesk / phone|
|Access to source code||Open code|