Have you heard of SWAM? Let me ruin your day.
SWAM on LinkedIn is “Site-Wide Automated Moderating.” Fancy name, huh? Here’s what it means. If one LinkedIn Group admin decides you need to be “blocked and deleted,” then you just lost ability to participate in Group discussions EVERYWHERE on LinkedIn’s Group.
That’s right, one moderator, who might be in a bad mood, have an itchy trigger finger, or just have made a mistake and meant to block someone else, will just have completely taken away your ability to communicate in other Groups in LinkedIn.
I don’t know why one person would have that much authority and power over you. This means that going into a Group is putting yourself at risk for taking away most of your power in LinkedIn.
I say “most of your power” because since LinkedIn removed LinkedIn Answers, there really isn’t that much more to do, proactively, to get your brand, name, thoughts, etc. out there. Yes, you can use Status, but that doesn’t go to the 800,000 members of the HR Group… people who are your peers. You can supposedly write an influencer-like post (I can’t yet), but who knows who will be able to see that, and will anyone actually read those in a few months, when it is flooded with crapola from everyone in the world?
SWAMing is a huge policy blunder, in my opinion. I’m becoming more convinced that whoever comes up with this stuff at LinkedIn must not use LinkedIn, or understand their customer. Oh, I’m sure they are concerned about spam and all the bad-guy stuff, but the policy stuff that comes out of LinkedIn.
You can read more about this SWAM issue on Forbes: LinkedIn Ruckus Continues As Victims Of Site-Wide Moderation Defect
Let me say, I have had plenty of bad-guy spammers try and join my network or my Group. And I want them to be booted out… especially the fake accounts. But I don’t think that I, a member of LinkedIn, and a Group moderator, should be the final power and decision-maker in taking away their account or Group contributions, at the “site-wide” level. That should be decided by LinkedIn staff, based on IP addresses, patterns, etc.