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Education, you come across someone's Twitter page, sometimes it comes in handy to be able to kind
of figure out if the people that are following him or his friends with are actually on board.
Now the reason behind that is generally, personally, when I'm investigating someone going through
their Twitter page, I like to take a look at who they're following and who their friends are, because
just because they don't post something up doesn't mean that their friends or followers aren't going
to post something out that actually ties information back to them.
So being able to ferret out who is a real person who's a bot comes in really handy, especially if there's
a lot of Twitter followers or a lot of friends with them for that particular target.
Now, one of the programs I like to use is bottom, Peter.
It can be found here at bottom meter dot I.
You and I dot IU dot edu.
Now what -- meter does is or formerly known as Bart or not, Wilczek activity of Twitter account.
And it kind of gives a score to figure out if it's a bot or whether it's a human.
So the higher the score, the more likely they're going to be a bot.
And you could actually click on these little y things here to figure find out more information on that
if you want.
Now, you see, it's pretty easy, so all you need to do is put a screen name in.
So we to do one of mine at Sniper Smurf Dot Sniper Smurf D.H.
So I'm going to check the username, first of all.
And you can see here it comes with the profile.
Nick is a bot score, so 0.7.
Now, clearly, I'm not a bot, so we can check out do check followers, OK, so it's going to go through
all the people that are following me.
And each person is going to be assigned their own score here.
So it looks like a couple of these people are coming up spots.
Campbell, let that run through and real quick, and if we're going to scroll through here, we can
see in the green, so not likely about point five, almost definitely human.
And we have a couple of four point five, four point eight, four point 9s and whatnot.
So let's take one of these real high ones here.
Let's take a look at directivity.
So if we click on any one of these, you could see the content 4.7 sentiment, 4.1 language independent
features and you can to see the score here.
So it gives you a nice little breakdown.
You can do details, you can block a profile on tweets and whatnot.
Now, in order to run this program, you do need to be logged into your Twitter account.
So if you're doing an actual investigation, as always, I recommend using a completely detached profile.
Well, let's say your own open Twitter account.
OK, so I'm going to click on this person here and click profile.
We're going to take a look at what what their Twitter page looks like.
So, yeah, it looks like a lot of random stuff in here.
So doesn't really surprise me that they're coming up as a bot, which they probably are perfectly metric
around the Transbay on this in your garden.
I put panes when your window flower in your mouth, lift me up.
A kiss for love.
Yeah, so probably, probably a but yeah, a lot of random stuff on this Twitter page.
So again, Botto meter really handy for ferreting out real people from bots, not only just checking
Twitter accounts of your target, but also friends and followers.
And again, to use it really easy at and whatever the username they click on, check user check followers,
check friends and they can be found at bottom feeders that are you?
And I talked IU Dot Edu.
Thank you for watching.
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