Forced to lie on a questionnaire
Forced to lie on a questionnaire
I was thinking the same thing. But if this was a survey specifically for social media, there wouldn’t be a N/A option except at the beginning to make you not have to continue further and waste your time and theirs. (Survey for getting users’ input on social media use, etc.)
But definitely agreed on other. There are so many social media sites out there.
There’s way more social media than these options. Where’s?
Reddit
4chan
Lemmy
Mastodon
Bluesky
Forums
Discord
YouTube
Patreon
Medium
Steam
Whatsapp
Pornhub
VRchat
Some of these are very very popular. Asking people their social media habits, and preventing people on most social media from answering, will produce garbage biased data. I hope this study fails peer review and the PhD student responsible flunks.
far from it.
its a dysfunctional link aggregator. their entire business model is consolidation of other people’s web content. make a FUCKING ACCOUNT IF YOU WANT TO SEE THE PHOTOS BRAIDED LEATHER WRISTBANDS
I was kidding mostly but while travelling I did recently make, out of basically waste paper, an origami gift card holder I was proud of :) it opens up in the back and you can slide out the card. I can look for the website with instructions if you’re interested
Thanks for sharing. Thats very cool.
If you have the link on hand I’d take a look but don’t go out of your way as it may just end on my endless list of things I might do one day.
No one will like hearing this answer but they may already underrated the issue of it being bad data and have a good reason not to care.
Here’s the thing. When “none” or “skip” is there, people gravitate toward it. You end up getting 75% of people saying “none” for every question, and then your entire survey is meaningless. I hate surveys too. Everyone hates them. All the more reason to just mash “skip” or “none.” Because fuck you and fuck your survey.
Meanwhile, what % of people don’t touch any of these social networks? Maybe we can’t say for sure, but it’s way less than 75%.
So you’re choosing between two possible sources of bad data, and choosing the one you know to be of lower magnitude.