Unfortunately we do not have any time to implement a spam filter/ranking
algorithm.
Besides I think this issue should be resolved on the twitter side.
Some people are sending tweets in reply to *all* twitter users.
I think the spammer twitter accounts and their tweets should be analyzed.
The
The text in these spam tweets are not easy to recognize.
They do not repeat. They are mixed of different words and they contain a
link.
They seem to be sent via web.
The ranking and discarding some mentions will not completely resolve the
problem.
Because our mention data and trending words data
All of your sample spam tweets are from suspended accounts, yet the
tweets were only sent yesterday. That means that the spammers behavior
was so aggressive that they were suspended quickly by a Twitter
algorithm. I doubt that a human at Twitter read your email and went
through each tweet
empty url? resolve if the user clicks i'm sure there is backend code running,
the only purpose of even returning a 200
On Nov 27, 2010, at 8:33 AM, Adam Green wrote:
All of your sample spam tweets are from suspended accounts, yet the
tweets were only sent yesterday. That means that the
Most of the tweets here are spams:
http://twitturk.com/tweet/search?q=lol
On Sat, Nov 27, 2010 at 3:33 PM, Adam Green 140...@gmail.com wrote:
All of your sample spam tweets are from suspended accounts, yet the
tweets were only sent yesterday. That means that the spammers behavior
was so
The URLs again return a code of 200 and nothing in the content. What
happens when you try getting one of the URLs with cURL? I'm curious if
it behaves differently for an IP in Turkey.
On Sat, Nov 27, 2010 at 8:56 AM, Furkan Kuru furkank...@gmail.com wrote:
Most of the tweets here are spams:
It returns a redirection to amazon.com product page
Example:
http://www.amazon.com/gp/product/B0041E16RC?ie=UTF8tag=iphone403d-20linkCode=as2camp=1789creative=9325creativeASIN=B0041E16RC
On Sat, Nov 27, 2010 at 4:04 PM, Adam Green 140...@gmail.com wrote:
The URLs again return a code of 200
Now you know that it does resolve differently in different countries.
You could set up an account with a webhost in the US, and have a
script there that you can call with URLs in tweets from new users. If
the URL resolves to a blank page, blacklist that user. There are
plenty of good hosts that
Another hosting will be problematic to maintain.
I have looked at a few more short urls. They redirect to very wide range of
sites not just amazon.
I think twitter may change the priority level of Report for spam for new
opened accounts.
And the number of tweets per hour.
Here I write again the
the followers are probably bots, create an account and within about 5 minutes
or less you will generally have 2-3 followers that appear [real]. they iterate
over ids. someone is running a dating/hookup bot net with those user accounts.
On Nov 27, 2010, at 4:18 PM, Furkan Kuru wrote:
Another
My final suggestion is to rank users by something (age of account,
number of mentions/mentioners/followers/following) and cut out the
bottom N%.
On Sat, Nov 27, 2010 at 4:18 PM, Furkan Kuru furkank...@gmail.com wrote:
Another hosting will be problematic to maintain.
I have looked at a few more
What I don't understand is that apart from possibly generating clicks
why are people doing this? Are enough clicks converting into some kind
of ROI interaction that makes them money?
I keep expecting SPAM to take some kind of evolutionary leap (customized
to your location/interests/cookies
Word lol is the most common in these spam tweets. We receive 400 spam
tweets per hour now tracking 100K people.
We plan to delete all of the tweets containing lol word. It is also used
by our users (Turkish people) writing in English though.
Any better suggestions?
On Fri, Nov 26, 2010 at 5:15
November 2010 11:27 AM
To: twitter-development-talk@googlegroups.com
Subject: Re: [twitter-dev] Trying to get rid of twitter spammers
Word lol is the most common in these spam tweets. We receive 400 spam
tweets per hour now tracking 100K people.
We plan to delete all of the tweets containing lol
As long as you aren't trying to capture and deliver *all* tweets,
there are a couple of good ways to cut out spammers. One thing I do is
save all mentions for all users in a database of tweets. When a tweet
comes in from the streaming API, I collect @mentions, and store them
with the screen name
Hmmm ... Twitter has a user quality filter that's supposed to weed
out spammers from Search and Streaming. At about 450,000 new user IDs
created every day, it might take a while for Twitter's spambot
detectors to flag them all, but I'd think between algorithms and
crowdsourced block /
16 matches
Mail list logo
