I suggest a simple change: for any logged-in user’s own comments, display the name(s) of the people who downvoted him. I suspect that would fix the problem.
How?
Let us say you suddenly discover that a user called (say) EvilDownvoter had been downvoting all your posts. How exactly does that help stop him?
If they’re also posting comments, revealing what they are doing would discredit them as a legitimate commentator, especially if history shows that they have an argument with me that they are trying to settle by forcing me off the site.
If they’re not posting comments, that means they have a single purpose account, which is an obvious troll.
It would be possible to complain about them to an admin by name rather than complaining based on a statistical analysis of one’s posts. It would be much harder for an admin to justify inaction, and much more likely for him to lose status given inaction, than if no name could be provided.
Availability bias and related biases would make it easier to gain sympathy from others if the situation is easier to understand (no need to complain about Poisson distributions) and more specific (has a name attached).
How?
Let us say you suddenly discover that a user called (say) EvilDownvoter had been downvoting all your posts. How exactly does that help stop him?
If they’re also posting comments, revealing what they are doing would discredit them as a legitimate commentator, especially if history shows that they have an argument with me that they are trying to settle by forcing me off the site.
If they’re not posting comments, that means they have a single purpose account, which is an obvious troll.
It would be possible to complain about them to an admin by name rather than complaining based on a statistical analysis of one’s posts. It would be much harder for an admin to justify inaction, and much more likely for him to lose status given inaction, than if no name could be provided.
Availability bias and related biases would make it easier to gain sympathy from others if the situation is easier to understand (no need to complain about Poisson distributions) and more specific (has a name attached).