Over 50 singles must learn how to protect themselves when using online dating sites. The protection that is needed is informational in nature, can prevent financial loss, and can help a person avoid dating a person that intends to do them physical or financial harms.
The majority of the better known over 50 dating sites strive to prevent any damage to their clients from predators or scammers. They are not perfect. You need to take steps to provide for your own protection.
Be careful with your personal information
The data that many dating sites ask for is extensive. You should provide enough information to get other people in your target age group interested in dating you but you should avoid telling everyone in the world all there is to know.
Websites can and do sell your information to other companies. You can avoid excessive emails and phone calls by being sure to check the box that says you do not want to share your information with sister sites.
The data you put on the web can be permanent. You can request that your data be removed and if that does not work you must seek legal means to have your personal information removed from a dating site.
You can avoid the data sharing if you shop for sites that have a defined opt out clause in their contract.
Do not give anyone money
Do not trust people you meet online enough to give them money or invest in anything they recommend. The people that troll dating sites looking for seniors to scam out of money know what they are doing very well.
Most people would think this is self-evident but thousands of seniors are taken for huge amounts of cash every year by people they met on websites.
Do not expect "the one"
Your odds are five to one against finding a person that you will marry on a website. You avoid emotional upset by being realistic about your expectations of a person you find on a dating site.
Trust but verify
The majority of people that you interact with on over 50 dating sites are honest. There are people on dating sites that are predators, felons, and mentally unbalanced. Machines are not smart enough to tell the difference.