1938 Media Tweeted about a new Twitter Follower tool called TwitBlock Alpha.
The tool scans a Twitter account’s Followers list and generates scores for each Twitter Follower.
The higher the score, the more likely the Twitter Follower is a spammer – or at least has used one of those automated tools that proclaim “1000 New Twitter Followers Overnight”.
Just yesterday, I asked who are the 10,000+ people would follow a Twitter account with 14 Tweets?
Probably someone who’s TwitBlock score – coincidentally – is off the charts.
The following is the top Twitter Spam Score from my Twitter Followers list:
As you can see, 1 Twitter Update, Following 490 and 6 Followers is indicative of a spammy Twitter account.
As I have increased my Tweets, I have noticed a disproportionate amount of following by Twitter spammers.
Hopefully an app service like TwitBlock can ultimately predictively model and prevent Fake Twitter Followers.
FakeFollowers.com attempts to do the same.
Tags: Fake Followers, Predictive Tweets, TwitBlock Alpha, Twitter App, Twitter Followers, Twitter Spam
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