Search Marketing Communications

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.

TwitBlock Alpha

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?

Fake Followers

Probably someone who’s TwitBlock score – coincidentally – is off the charts.

The following is the top Twitter Spam Score from my Twitter Followers list:

Twitter Spam Score

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.

FakeFollowers.com

Tags: Fake Followers, Predictive Tweets, TwitBlock Alpha, Twitter App, Twitter Followers, Twitter Spam

This entry was posted on July 29, 2009 at 9:00 pm and is filed under Fake Followers, Predictive Tweets, TwitBlock Alpha, Twitter App, Twitter Followers, Twitter Spam. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.