I've been discovering DataScienceSE for about two months and although I kind of like the topic, my impression is that this SE is not doing great. I've been active on a few other SE sites for some time and one can really tell the difference. Apparently there's just not enough regular active members for the flow of questions (68% answered). Crucially there are very few votes being cast, and this is quite bad given that the SE model relies on votes.
To illustrate my point: I gave 50 answers in the past two months, half of which have zero votes. In average I collected probably around 0.5 votes per answer (not counting OP's choice; without any negative vote as far as I know). I don't mind as long as I enjoy giving some insight here and there, but with very little feedback from the community it's not very encouraging and I guess I'll eventually get bored with the site.
So what I'd like to know is:
- Why so few people vote? Is it because there are not enough "avid members", too much turn-over, too many questions, questions being too specialized (or not enough)... ?
- What can be done about it? (if anything) More precisely, as a modest active member, what should I prioritize? For instance I've seen other sites which encourage:
- Vote early and vote often: should I vote on questions/answers even if I don't feel very confident about the topic?
- voting to close out-of-scope/unclear questions early (and harshly) in order to force the user to clarify before (possibly) re-opening. But of course that's not very welcoming.
- be more strict about duplicates: many beginners questions are variants of existing questions, should I vote to close as duplicate even if it's not exactly the same question?
- any other suggestion...?