START: 1:40 PM
In my attempts to identify competitive advantages with current Web Service providers, I realized that binary forms of liking something (or thumbs up/down) elicit a completely different response behavior from Ratings. As the former typically elicits a virtually-thoughtless process of determining the quality of a piece of media, I can't help but to conjecture that corresponding comments tend to follow suit in the same way. They tend to be one-liners; bash someone's else's comments -- basically communicate in unproductive ways. Just look at the comments section of YouTube and Vimeo, or any other forum out there in cyberspace. Although, Rottentomatoes.com is an exception to the rule; but that's understandable given the dynamics revolving around the industry/segment for which that website serves: featured films.
Ratings is a whole different ball game. As rating systems have a more continuous selection base (1,2,3,4,5,6,7,8,9 vs. Like/Dislike), they tend to -- in short -- really get the mental juices flowing on how liked or disliked a particular experience, service, or product was. Subsequently, and without a doubt, such a paradigm elicits more serious responses that (subjectively or objectively) qualify the entity that is being judged. See Yelp. Perfect example. Use a merchant with at least 100+ reviews, and you'll most likely see what I'm talking about.
On a level playing field you will most likely see this:
*** Thumbs Up/Down (YouTube): 500 Likes/100 Dislikes = a ton of lame/shallow/(sometimes) objective comments
VS.
*** 1-5 Rating Systems (Yelp): 600 Reviews, 4.5 STAR = a ton of comprehensive reviews that will typically include verbiage surrounding the dish someone had, the ambiance, service, and price.
* IF THIS BLOG INSPIRES, AND LEADS YOU TO DEVELOPING SOMETHING, PLEASE MAKE A NOTE OF ME IN YOUR PRODUCT/SOLUTION =). HAPPY TRAILS!
END: 2:06 PM
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