I was drawn to a tweet by Steve Rubel, from Edelman Digital, earlier:
The tweet sucked me in and so I read the blog post (great reading!).
It got me thinking: I prefer a web of sentiment than a web of likes. Likes are only one signal, and they are in themselves a sign of sentiment (cc @steverubel) .@steverubel is right, it'll take time to move from a web of links to a web of sentiment. There's so many sectors that aren't social yet But I think a web of sentiment is coming, it's just a matter of time (and someone building a sentiment index)
I prefer a web of sentiment than a web of likes. Likes are only one signal, and they are in themselves a sign of sentiment (cc @steverubel)
.@steverubel is right, it'll take time to move from a web of links to a web of sentiment. There's so many sectors that aren't social yet
But I think a web of sentiment is coming, it's just a matter of time (and someone building a sentiment index)
Would it ever be possible to create a sentiment index capable of measuring the value or popularity of a web page based on multiple signal factors.
There are so many factors to consider. Not only are there Links (in the traditional sense) and Likes (in the Facebook sense) there’s also Tweets and Retweets, Diggs, bookmarks on Delicious or Diigo and semantic relevance (the actual relevance of the textual, or other, content) of course. Semantic relevance in fact is key and one of the problems with search and SEO in general is that relevance has been gamed to death by Links and black-hat SEO practices. When we’re trying to discover content relevance is possibly the most important signal, even more so (or at least as important) than how popular a web page is in a lot of cases.
If I’m really trying to discover the best content I can though there is another signal which can act as a really powerful sign of positive sentiment, actual user engagement with a piece of content. High engagement with a web page suggests people like it and find it interesting or useful, to me that’s a powerful signal that indicates I might want to read it or interact with it too.
If you could combine semantic relevance with Links with popularity (from Likes etc) with actual level of user engagement you could have a very powerful sentiment based approach to discovering content relevance. I love the way Steve Rubel says in his blog post that with Likes ‘this new network of signals allows content to find you, rather than you having to go find it’. That’s the key to good information discovery, reversing the trend from being the content hunter to being hunted by content that is relevant, popular and (in my opinion) has high levels of engagement.
Content which is Liked a lot isn’t necessarily relevant, linked to a lot or engaging…
How would you measure engagement across the whole web? I hear you say. Good question. Obviously most web pages and pieces of content have analytics which have data that suggests a level of engagement from its users, but that’s never going to be opened up to make it a useful signal for information discovery (or maybe Google could use Analytics data?). Could a company like Hitwise (provider of analysis and data on website usage), who has access to web users click stream data at the ISP level, use data on engagement to create a new form of signal to add to the mix? Unlikely as it’s not their business model and also privacy laws could get in the way.
I don’t know the answer but I have had fun thinking about it today. Love to hear your thoughts! Do you think we’re moving to a web of Likes (we may well be in the near term) or are we more likely to move to a web of Sentiment where multiple signals of relevance, usage, popularity and actual user engagement are key?
Photo by retinafunk on Flickr.