Fight Twitter spam: Join #BlockMonday
- TAGS:#BlockMonday, Brian Krebs, Mashable, spam, TwitBlock, Twitter
- IT TOPICS:E-Business & Web 2.0, Networking, Personal Technology, SaaS & Cloud Computing, Security
The topic of the week is Twitter spam. Mashable's talking about it. Brian Krebs is talking about Mashable talking about. New England Cable News is talking about Brian Krebs talking ... well, you get the point.
What they're all talking about is the spam detector service, TwitBlock. TwitBlock anaylzes your followers and rates the probability that they are spam accounts.
The odd thing about Twitter spammers is that they don't send you spam. We know the term spam from the junk that piles up in our inboxes. This is a bit of a reverse. They aren't sending me anything I don't want unless I follow them back.
I (@jcatcw) have to admit, I have sometimes taken the trouble to block obvious spammers (that helps Twitter determine which accounts to close), but sometimes I've been too busy and just let them go.
By not blocking the accounts, I allow them to see my Tweets. I'm usually pretty careful not to divulge more than I should. But Twitter can be a very conversational place, contrary to popular opinion. If I let something slip while conversing with a friend, I may give the spammers information that I and my interlocutor would prefer they didn't have.
My results from TwitBlock were mixed (note: the product is in Alpha). Many of my followers rated most likely to be spam are people I know from other social media sites, but many others did look to me like spammmers. Given the high number of false positives, I recommend against just clicking the "block" button provided. For example, one of my favorite news sources, TheOnion, got a score of 160 (over 20 indicates possible spammer).
I propose a new practice to fight back: #BlockMonday. This would be the reverse of #FollowFriday -- the popular habit of recommending your friends to each other. Let's out the spammers. On Monday, let's all use TwitBlock to discover those nasty accounts -- you can allow it to analyze your list or just look for the well-known icons -- , then publicize the spammers.
I'm getting my tweet ready: #BlockMonday @NikiL14596 @sakia219 ...



