Content Curation and why man beats machine

A like Zite, but I just don’t like my Zite recommendations enough. That is why I feel as a content curation tool, it doesn’t meet my expectations…just yet.

Zite is a content curation app that:

  • mining content from your social connections
  • modeling that content
  • modeling the community that interacts with it
  • modeling your interests
  • matching your interests to the content and your community, to help you discover content you’ll want to see

Here’s a screenshot of my Top Stories based on the above:

photo 200x300 Content Curation and why man beats machine
self curated stuff that I'm not really interested in?

Pretty uninspiring huh and yet the content served up is meant to be a reflection of what I like and what my peers like so why doesn’t it surprise and delight? How easy would it be to influence Zite to serve up stuff I’m more likely to be interested in? The answer is pretty hard actually. I could purge my twitter followers that has led it down the path of social media marketing but that would be extreme and antisocial. Alternatively I could wade through the content and down mark the stuff I’m not that interested in the hope of improving the overall quality.

If the main objective to go on Zite is to influence it’s output rather than to enjoy the content then it’s decision making algorithm needs to be tweaked. This is not the first time perceptive media has gone off piste. Take for example TIVO’s intuitive recording functionality which has thrown up similar issues for viewers in the US.

No, I would much rather like to think that our interests are much broader, much more diffused than those prescribed by the machine logic of Zite, the scrobbles of LastFM or Amazon Recommendations. That’s why the professional curation of Brain pickings is so much richer in terms of interesting and engaging content, probably because the team there spends over 450 hours every month trawling for stuff. There is also a subtle distinction at play, and that is Maria Popova and her team curate content that interests them and may interest us.

There is a sense of serendipity in discovering something new or surprising that take us through a particular rabbit hole or scratches an itch. Philippe Petit, describes this vividly in the documentary Man on Wire. He describes the moment when he was sitting in a dentist waiting room and came across a magazine article describing the future construction of the World Trade Centre. It was this moment that sparked his ambition to high wire between the twin towers.

Zite assumes that we like certain content until it is are told otherwise. But there is an inherent fallacy at work within this machine logic. The belief that we like being served up the same stuff without losing interest. It’s like the party bore who corners you and drones on about a particular subject matter, you may have a fleeting interest but by patience and goodwill quickly evaporates and out comes the excuse that you need a drink or the toilet.

 

tt twitter Content Curation and why man beats machine

  • http://twitter.com/neilperkin neilperkin

    Hi Tom. Good post. My own experience with Zite has been kind of similar – after finding it very useful initially, I found the content mix changed over time to give me a skew towards an overkill of social media content. I believe this is because I hooked it up to Twitter, so have since disconnected it and the mix has started to get better again. My own view is that whilst good examples of each will exist in isolation, great content curation will also likely involve smart combinations of three areas: professional, social and algorithmic curation. About the only thing that does this reasonably effectively right now is Flipboard, but its not perfect.  I find myself wanting to take a little Zite magic and combine it with the best of Flipboard. Early  days, but I have confidence that aggregation apps of this kind will be a really valuable part of the ecosystem.

  • http://invisibleinkdigital.com Invisibleinkdigital

    Thanks Neil, decoupling Zite from Twitter is a good tip and I’ll look to explore that.  I  was thinking if you could combine say the list functionality of Twitter and tie it to Zite that would throw up some interesting possibilities more in tune with a person’s interest.

    Or dare I say it if you could share your Zite recommendations with others, a sort of algorithmic Delicious, that too would be preferable.

    Like you say early days and I’m sure that machine logic to serve up relevant content will improve   

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