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