You might try creating a metric relating the age of an item to the number of votes it has received, and using that to rank the items; that is, new items cannot be expected to have a large number of votes, so they get weighted higher because of their novelty; similarly, older items that have a lot of votes can be considered to be "well-received", and can have a high ranking. You'd probably want to look at time on a logarithmic scale, because the number of votes that get received will "flatten out" over time.
In this way, a new item may rank highly; if it doesn't receive many votes, however, it will sink over time lower in your list. If it does, however, it will rise; yet, only the older items with a significant number of votes remain high on the list.
The whole topic is complicated; you may need to twiddle with algorithms for a while before finding one that works well for your needs.