Fighting spam with BotMaker(blog.twitter.com)
blog.twitter.com
Fighting spam with BotMaker
https://blog.twitter.com/2014/fighting-spam-with-botmaker
8 comments
I can myself attest to the fact that Twitter has plenty of false positives. I use a custom url shortener url and on several occasions I have been flagged for spam.
What I'd really like to see is the option to submit a report for the false positive. I'm sure the data mining is picking up on not only my initial submission, but also reattempts with altered content to try and bypass their greedy algos.
Needless to say it's a bit of a bummer when you curate a tweet only to be denied sending. I think they have it out for .CO url shorteners :)
What I'd really like to see is the option to submit a report for the false positive. I'm sure the data mining is picking up on not only my initial submission, but also reattempts with altered content to try and bypass their greedy algos.
Needless to say it's a bit of a bummer when you curate a tweet only to be denied sending. I think they have it out for .CO url shorteners :)
What reason was given you in the spam flag notification?
I haven't had one trigger in a week or two so I can't recall the exact response. I've had it happen on separate accounts using url shorteners as well as when attempting to send DMs containing shortened urls.
If it's of any use, I use Tweetdeck.
If it's of any use, I use Tweetdeck.
"Key reduction in a spam metric". Stupid question: if they know what spam is well enough to chart it, then why not just use that to fight it?
They're fighting spam in realtime, but they can analyze their accuracy later.
One example: if you have a rule "sending the same URL 100 times in a row is spamming" then you'll let 99 spams through before you identify that they were spams.
One example: if you have a rule "sending the same URL 100 times in a row is spamming" then you'll let 99 spams through before you identify that they were spams.
Users can report spam for any tweet ("... More" "Block or report"). I imagine that Twitter would to catch spam before its users do.
One such metrics might be user complains, that only appear after it is already too late.
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I was hoping to hear more about what is considered spam. High scores being posted from a game through the API at a high level? What about mass favoriting tweets to get more followers? Or are we just talking about 'Sex pills, free rolexes, getting girls' links to malware sites?
Would be interesting if they would have share some more details on the rule engine/framework. How does it compare with drools (apart from it being probably faster).
I wonder how these rules came to be known as "bots" within Twitter. It has an nice symmetry to it though: use bots to fight bots.
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TLDR
Twitter built a DSL for writing spam detection algorithms.
Twitter built a DSL for writing spam detection algorithms.
To publish 'a how we did it' article like this suggests to me that the Twitter engineering team are either justifiably confident in their spam fighting creation (because they are confident it is infallible), or they are naively supremely over-confident; thus publicizing how this works will come back to bite them in the butt.
Only time will tell I guess. From the article it would appear that they aren't doing anything magically different with regards to classification of twitter-spam, but they have found a way to deal with the volume of classification tasks in a pertinent manner. It also gives them a way to quickly respond to new types of spam attacks.
Very interesting. They should consider opening it up as an Askimet competitor. The difference between a blog comment and a twitter post is negligible.
Only time will tell I guess. From the article it would appear that they aren't doing anything magically different with regards to classification of twitter-spam, but they have found a way to deal with the volume of classification tasks in a pertinent manner. It also gives them a way to quickly respond to new types of spam attacks.
Very interesting. They should consider opening it up as an Askimet competitor. The difference between a blog comment and a twitter post is negligible.
> publicizing how this works will come back to bite them in the butt
> The difference between a blog comment and a twitter post is negligible.
That said, Twitter just outlined a number of reasons why their case is special. They are a high-availability, high-volume, low-latency service. Twitter's spam solution was designed to handle their very special set of constraints. I think a multi-stage filter complete with asynchronous post-processing jobs would be a bit much for your average Wordpress blog. People just starting out with (say, PHP) probably can't fathom a multiprocess deployment architecture. Not to say they couldn't, but the journey is a long one.
> I think a multi-stage filter complete with asynchronous post-processing jobs would be a bit much for your average Wordpress blog. People just starting out with (say, PHP) probably can't fathom a multiprocess deployment architecture. Not to say they couldn't, but the journey is a long one.
That's why he suggested an Akismet competitor - in case you haven't used it, Akismet is a SAAS solution that filters your comments on their servers, not on your own, so you don't have to worry about the architecture or deployment.
That's why he suggested an Akismet competitor - in case you haven't used it, Akismet is a SAAS solution that filters your comments on their servers, not on your own, so you don't have to worry about the architecture or deployment.
My mistake. Thanks for the correction. :)
My point appears to have been missed and I was down voted to hell for it, but I merely trying to point out that when you are fighting a war (as they are against spammers) then you shouldn't give away any secrets, no matter how insignificant they may appear now.
They haven't revealed the conditions they use to determine if something is spam.
It's easy to reduce spam by X% if you don't care about increasing your false-positives rate.
I'm also curious what ways users have to flag false-positives on twitter. It's easy to 'block or report', but is there a spam box to inspect and mark things that were wrongly classified? If there isn't an easy way, then it's going to be much harder to even measure false positive rates, let alone reduce it.