Andrew McAfee of the Harvard Business School talks about a discussion around these two types of user-generated content (UGC). He provides some definitions.
"Explicit user-generated information is information that people knowingly and deliberately generate by contributing to online platforms. Examples of explicit information include a blog post or comment, a wiki edit, a vote or rating, a trade in a prediction market, a link, and a tag.
Implicit user-generated information is information that people unknowingly generate as they work online. It’s the digital fingerprints or traces that people leave as they follow links, look at content, consider one product then buy another, etc. This data can be aggregated to show what’s popular, what’s related, who has a good reputation, etc. My impression is that the collection and analysis of implicit online information grew out of Web analytics (clickstream data) and eCommerce recommendations (customers who bought [shopped for] this also bought [ended up buying] this). I find these recommendations tremendously valuable, and they’re entirely implicit."
I agree with Andrew in so far as it may be a false dichotomy and that without explicit UGC or explicit professional content, implicit doesn't work as well. Amazon book store is a good example. Blogs and some of their advanced features are as well.
It also reminds me of virtual organizations and the strength of weak ties. Weak ties are like implicit UGC. Strong ties are like explicit UGC or professional content. You need both to innovate, grow, and be successful. The secret is sauce is in the when and how much.














several Alberta-based companies. These industry research and development projects join a strong list of university research and development pilot 


