It's an interesting problem. If most of the votes concentrate on the first submission, I wouldn't bother including subsequent submissions in the model. However if this is not the case (as in your example), you could actually include the past voting sequence, submission times, and domain, as predictors. In your example, the 800 votes might then (ideally) correspond to a better time slot and source/domain than the first single vote.