Read Nicholas’ readings about the silent majority and found them interesting!
It was fun to get an analyst’s view of how to reach this silent majority, for example, by
having anonymous surveys when dealing with subjects you’d rather not be too public about. I think that generally the term “Silent Majority” has a somewhat bad rep in this da and age, probably stemming from Trump supporters claiming the term by saying that “The Silent Majority stands with Trump” over and over, often putting this on signs at protests or posting about it on social media….Which is a bit ironic.
I’ve generally thought of the term as a way of saying that you, for example, disagree with current immigration laws etc. but don’t want to be vocal about it because of the backlash that often follows from, in my opinion, sane people.
So bearing this in mind, Nicholas’ readings showed me that from a data mining/analytical perspective the Silent Majority can be anything related to people “lurking” and not necessarily engaging in the same manner as the more vocal participants of, say, a message board.
On old message boards, before Reddit pretty much decimated them, you could always see how many people were on right now as “lurkers” or logged in, which I think maybe helped you to get a picture of how vast the Silent Majority was.
Maybe something like that should be implemented on Facebook etc? So that whenever you’re browsing a comment field you could get an estimate of how many people were lurking and how many people were contributing. I’m sure Facebook already has algorithms for this, I mean, this is the kind of thing they earn money from, but it would be nice, I think, for vocal contributors to see that people are reading their comments so that the contributors don’t feel that they’re “shouting into nothing”, so to speak. It could prevent the growing tide of disenchantment with online discussion that I feel is growing–of course, it could just make it worse.