Design ideas on encouraging postive community involvement in Eventrue

Charles, your design ideas are very interesting, and overall you seem to have a good design plan.  I think your insight is awesome. Since action speaks louder than words, I believe that your design scheme must be good.  Only thing is I wish I saw your each design idea more in detail for better understanding of the system.  

And I have questions for the followings:

1. It seems that your conflict management should be challenging because I guess any affiliate will not want to have bad reviews while you have to maintain accurate reviews. However, my guess is Eventrue will have more pressure to keep reviews favorable to affiliates.  Do you have a design idea that prevents the possible event when affiliates want to stop having business with Eventrue if they have bad reviews?  

2. I think your idea about using “Google analysis” (p 2) to find fake reviews sounds interesting.  One thing: I thought a fake reviewer could be caught only when he or she wrote an array of good reviews to his or her restaurant and bad reviews to his or her competitors...  What if she writes only bad reviews to a small set of her competitors?

3. I liked your idea about showing fun things such as interesting reviews and like-minded people to your reviewers.  I would like to see how those fun factors lead to good behavior of participants. 

4.  What might be the social presence effect and social comparison process in your community?  Especially social comparison process is a critical aspect of recommender systems.  I am curious about this effect.

And I think the followings are the definite keepers:

1.    Bonus points that can be interchanged with gift certificates: I think this is an excellent idea to promote good behavior in your community. I believe that if you can actually guarantee gift certificate, it will work.

2. The slogan “More rating means more accurate recommendations”:  I think this is an excellent idea because it will give the motivation for user to give more ratings.  I hope that you explain why ratings mean better prediction under FAQ or on the page to which the slogan links.

3. Weighing ratings of users depending on how much users are active: I think you have a clear idea that all ratings are not same in their quality.  Your idea reminded me of one article by Donovan and Smyth.   Their study shows that you can make more accurate recommendations by weighing more heavily ratings of a user who has shown accurate predictions of a target user.  

Overall, I like your design ideas, and I will look forward to seeing the growth of your community!