Hackers Are So Fed Up With Twitter Bots They're Hunting Them Down Themselves (theintercept.com) 45
An anonymous reader writes: Even if Twitter hasn't invested much in anti-bot software, some of its most technically proficient users have. They're writing and refining code that can use Twitter's public application programming interface, or API, as well as Google and other online interfaces, to ferret out fake accounts and bad actors. The effort, at least among the researchers I spoke with, has begun with hunting bots designed to promote pornographic material -- a type of fake account that is particularly easy to spot -- but the plan is to eventually broaden the hunt to other types of bots. The bot-hunting programming and research has been a strictly volunteer, part-time endeavor, but the efforts have collectively identified tens of thousands of fake accounts, underlining just how much low-hanging fruit remains for Twitter to prune.
Among the part-time bot-hunters is French security researcher and freelance Android developer Baptiste Robert, who in February of this year noticed that Twitter accounts with profile photos of scantily clad women were liking his tweets or following him on Twitter. Aside from the sexually suggestive images, the bots had similarities. Not only did these Twitter accounts typically include profile photos of adult actresses, but they also had similar bios, followed similar accounts, liked more tweets than they retweeted, had fewer than 1,000 followers, and directed readers to click the link in their bios.
Among the part-time bot-hunters is French security researcher and freelance Android developer Baptiste Robert, who in February of this year noticed that Twitter accounts with profile photos of scantily clad women were liking his tweets or following him on Twitter. Aside from the sexually suggestive images, the bots had similarities. Not only did these Twitter accounts typically include profile photos of adult actresses, but they also had similar bios, followed similar accounts, liked more tweets than they retweeted, had fewer than 1,000 followers, and directed readers to click the link in their bios.
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Yo whipslash... I think this one actually might have read the article... That wouldn't bode well for that anti-troll filter that was mentioned a while ago.
Still, it seems to be somewhat more intelligent than the average troll.
Interesting specimen for sure.
Missing context (Score:1)
Among the part-time bot-hunters is French security researcher and freelance Android developer Baptiste Robert, who in February of this year noticed that Twitter accounts with profile photos of scantily clad women were liking his tweets or following him on Twitter.
and like any other slashdotter, seeing attractive women made him immediately stare at his feet and scream REEEEEEEEEEEEEE
Like the Florida Legislators (Score:2, Insightful)
What did you expect? (Score:4, Insightful)
Social media is a social deconstruct, hopefully it dies sooner than later and spares humanity more grief. You reap what you sow right?
Bump Stocks (Score:2)
Twitter is to social interaction as Bump Stock are to the Civilian Marksmanship Program [thecmp.org]
Wow (Score:5, Funny)
Am I the only one who see this as the equivalent of going over to the nearest gas station and volunteering to clean their bathrooms?
I am doing that (Score:5, Interesting)
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A "Fake Account" that has a human behind it is not a fake account. If your premise is correct then your Slashdot "fabiomb" account is by your definition "fake".
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Using an alias is not the same as registering using someone else's credentials.
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Most fake human accounts are easy to detect with a simple reverse image search on Google. They almost always just steal a profile image, from real social media users or from fake account packs that people on 4chan put together.
The other dead giveaway is copy/pasted messages and links. Those guys are not that original, it seems.
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Twitter is not the problem ... (Score:2)
... it's made out to be.
It's a depressing shitstorm rabbit hole and not one fucking person is unaware of that.
The people writing code to spot bots already know how to ID the bots, right?
Just navigate around the bastards (or bitches as may apply).
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The signal-to-noise ratio in a lot of subjects gets so low that, even if you can immediately and perfectly identify a bot as such, you'll still be unable to have useful communication because you'll have to scroll through dozens of bots to get to an actual person - who is probably just arguing with bots.
For instance, click on *any* trending hashtag. Top one right now, for me, is "#MondayMotivation", a recurring hashtag for people looking for some vague platitudes to try to motivate themselves on a Monday mor
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I am well aware of the rapid thread degradation and I question the utility of clicking on that hastag in the first place, knowing it will turn to shit in 1 ... 2 ... 3 ...
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'Trending' is whatever Twitter decides suits their sensibilities and therefore you should be allowed to see. So the signal to noise ratio is even lower than you think.
And just in case something interesting does get said on Twitter amidst the bot spam and greasy food picts, it will be subjected to Twitter's political purity tests. [wired.com]
So even as a communication medium, Twitter is unreliable unless one has enough outside influence or political capital to make being deplatformed a hassle for them.
I'm not seein
Think of it as a game (Score:1)
If you can't hunt down a few thousand each day, you're low on the leaderboards ...
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The only way to win is not to play.
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The only way to win is not to play.
So, you're not joining in the next Raid event? Sad.
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The only winning move is not to play.
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Hope they exercise SOME caution.... (Score:2)
...as I know that http://flowingdata.com/2018/03... [flowingdata.com] this simple algorithm classifies my twitter feed as distinctly a 'bot'.
No, I don't use it much - I've used it to subscribe to a WWI history feed and the Onion, that's it.
In the years since Twitter started, I've posted a grand total of 123 tweets.
replicants (Score:1)