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In this fear, we're going to be using Ozone for online dating.
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Now it doesn't matter who you are when you're doing online dating, there are some potential things
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you do need to worry about.
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You need to worry about if the person that you're communicating with is actually who they are trying
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to portray themselves as.
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So for online dating, there's a lot of different options out there.
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These are some of the ones out there eharmony, match, Tinder, OkCupid, Bumble.
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Again, there's a lot of different online dating is out there, and all of them do have the same issue
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with trying to be able to figure out.
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If the person that you're communicating with, the person that you're looking at their profile and reading
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about is actually who they say they are.
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It doesn't matter if it's a man or a woman, you still run in the same issue.
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Now the services do try to do some sort of vetting and they try this one.
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They try to actually again vet things, make sure that you're communicating.
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Their profiles are accurate, but there always is a risk that it's not.
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So that's where Olson comes in.
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So for this example, say this young woman who thinks she's talking to a nice young man.
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Well, how do we know that it's not some someone else?
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It could be someone being malicious, someone dangerous, someone that looks absolutely nothing like
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the person that they're portraying.
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They could be using a photo that they found online lie about their occupation or hobbies and whatnot.
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How does this person find out?
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Or at least reduce the chances of being deceived?
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Well, that's where Olson comes in.
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So this is Zoosk.
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I pulled up some profiles online, so we're just going to use these as an example, and this is pretty
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typical.
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So typically when you have a dating service, you're going to have a few things that are always going
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to be in common a name, whether it's a username or real name and age.
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Yeah.
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Image and in this case, they call this story, sometimes I'll say profile or something else.
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So these are the three things are pretty much going to be in common with any sort of dating service.
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So we're going to break these three things down and with Ozone and kind of use that to figure out who's
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who.
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So one thing you could do is if it's a name or a username, you could fit into a system like instant
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instant username search.
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And what this does is it you take the name or the username, you put it in here and it'll go out to
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all these different services and try to figure out, Well, is this username available?
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So if it's not what we were, we're looking for are these ones that say taken.
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So if it's taken, that means that it ran a year, ran the username against these different services.
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See if you could actually register as that.
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So it's good when you see taken in this particular case.
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So if I see these, I can go in here.
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I click on tick tock.
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I can take or click on Twitter, Facebook, YouTube and whatnot, and I can see that it would be saved.
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Twitter.com forward slash silly Billy.
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And then I can search going through that profile and seeing if that looks like a match to that particular
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user.
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Now, if it is, then I can start kind of breaking down those posts.
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I can take a look at the user profile in Twitter or the Facebook ticktalk and see if those that image
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matches.
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See if the way that they're acting matches what they're trying to portray and say that Zoosk profile.
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So you do want to try to verify it?
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Well, it do do these things matches is is it the same person and kind of go from there if it does and
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then definitely do a lot more research into those particular social media accounts and see that, well,
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OK.
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Is is this the person that they're trying to portray themselves on this on the dating site and say or
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in the social media site, other things we could use are things like social catfish and we could do
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sort of social catfish by name or username.
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And this will do basically a light search for who they are, basically a people search.
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So you can put it in and you might be potential information like a real name, location, gender, language
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spoken relatives, associates, phone numbers, partial email addresses.
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And then it's going to do again, a deeper background check.
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And if you really if you want to go and hide all the information that you're going to have to do, this
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can see complete results, which you are going to have to pay some nominal fee for.
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So do keep that in mind, but the information up here might be enough to kind of go off of him and figure
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out, Well, is this person who they say they are?
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And also and also, is it the person that you really want to, you know, communicate with?
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And again, for this one to if you're going to do to see the complete results, you are going to have
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to pay some sort of fee for it.
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But again, if I could see well, let's see.
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It looks like there's a LinkedIn account, so I might be able to just go straight to LinkedIn, type
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that username or type two real name and see if that's really the person that that I'm looking for.
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Now for images.
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There's a lot of service we could use, we use Google, Yandex, PimEyes, we could use Bing, Yahoo.
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For example, image raider to take that image and do a reverse image search.
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So would Google.
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Again, we could feed it in there and we could find all these different, different things, potentially.
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But again, we do want to verify the results at once.
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We put it out there, we can see that.
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Well, is this a real profile?
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Is this person I want to talk to?
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Reminds does a really good job, they use a some level of facial recognition.
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And again, for faces, it does a really good job and we can we could feed it through here.
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We could see they'd found some matches that look like it matches up here and we could see partial email
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website addresses here.
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Now for this, if you do want to.
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Get more detailed information where they were blogs, forums, news, explicit content, criminal records
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and whatnot.
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Again, it's going to be like any other.
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People search site.
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We are going to have to pay a fee, so in this case, they're charging you $30 a month for a one month
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plan, 25 searches daily.
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So this potentially could come in handy if you're doing a lot of dating and you want to do a do a lot
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of checking.
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Now for the for the profile or the story or the information part.
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We want to take a look inside of breaking down information.
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So is supposed generic.
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Well, if the pulse is generic, well, that might that might be a red flag.
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It might mean that it's a bot that's not necessarily the case.
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Always give the case, but sometimes bots will people use bots?
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And for some pretty generic stuff in there is unusual grammar or spelling mistakes?
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Well, if there are, then that could be a red flag, too.
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So it might mean that I've seen a lot of people that are phishing foreign people use try to portray
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themselves as, say, U.S. citizens out there living in the United States.
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Now, typically, they'll have bad spelling mistakes and there were grammar mistakes.
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And as you start looking for the run, you find out, well, OK, this person is not from, say, Los
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Angeles, California, they're actually from Russia or somewhere else.
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So again, Grammar's and a lot of spelling mistakes can be a red flag.
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And does the information differ from the rest of the profile is what they're saying in their story or
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their profile not matching up to the other information on part of their their profile?
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Do they talk about living in, say, North Carolina when they say when the profile part of the profile
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says it, they live in Los Angeles, California, for example.
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So we could also take that the profile and we can paste it into, say, a plagiarism checker.
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What this will do is it'll go out there and see if that particular profile or the bulk of their profiles
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use somewhere else.
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No, this is not a exact thing.
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However, depending on how unique that profile is, you might be able to see if it was due somewhere
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else.
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And again, you paste it in there, you run the player plagiarism check and it'll go out, you know,
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find out, Hey, was this plagiarized?
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Did I see this somewhere else?
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How much of this did I see somewhere else?
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So.
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To make things easy, I put in a Mark Twain quote, we could see it was 100 percent plagiarize zero
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percent unique.
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And then it gives us a link word found that content.
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And so again, that's it's just because you find it plagiarized doesn't mean that it is false.
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For example, we can actually follow that link.
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We can find out, well, OK, this profile?
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Let's see if it was you somewhere else.
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OK, maybe we could find out was you somewhere else?
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We could take a look at that other that other social media profile, that other dating profile and see
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that well, again.
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Is there any information that differs or anything that's a red flag that we need be careful about?
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And we also could use things like a straight up people search until those people spy dialer, depending
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on how much information we started collecting names, usernames, email addresses, phone numbers,
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depending on what that would, those dating sites or a person reveals we could sort of feed into these
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different services.
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So typically, what you'll find is a name, you'll find a location, age, basically basic information
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like relatives and whatnot.
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And again, you are going to have to pay for these different services.
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We all should do Google Advanced Searches or Google Docs.
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Now, if we're doing this, we could do it again, we could take different things, we could take the
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username, we could take the real name and we could try to isolate down.
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Whether this is real or whether we could find other other accounts under this and do or do additional
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research.
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So for example, I could put in their username under this exact word or phrase, I could put down language
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like zoos, like without English or whatever, if I need to.
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Typically, what you want to do is do the name and then you could you could check a region like an isolate
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down the region, make sure a certain region or it can leave it open to see if it won't.
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Is this really, you know, somewhere outside of where, where it should be?
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So these are some tips that you could use for investigating dating using Olson.
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Thank you for watching all.
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