There are some issues with these systems which cause degradation in user feedback, here are a few:
- Not all votes carry the same weight - if an expert votes on an article and a layman does, the expert vote is the most noteworthy. There are problems with establishing who are the authorities on which topics.
- Social voting: consistently voting for people you know and your friends. These are not always votes based on the quality of the article.
- Sometimes though, users find that they appreciate articles from a certain author and track them, voting often on their submissions, but in this case, it is a genuine vote. It's hard to tell these apart.
- Some votes are generated without much thought.
- Some votes are given for fun or for profit.
There is a lot of research going on to resolve these issues, take a look at these to start with:
"A Few Bad Votes Too Many? Towards Robust Ranking in Social Media" (Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyuan Zha)
"Dynamics of Collaborative Document Rating Systems" (Kristina Lerman)
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