The Filter Bubble
in a fish bowl
Eli Pariser wrote a book coining the term Filter Bubble. He describes “a phenomenon in which websites use algorithms to selectively guess what information a user would like to see, based on information about the user like location, past click behavior and search history.” (according to Wikipedia). Amazon, Google, Facebook, Netflix and many other sites cater ads, content and search results based on these algorithms. Yahoo calls this personalization - Facebook's algorithm is called Edgerank. I've called it Data Mining, and helped clients do it for years. No matter what it's called many believe this is all a conspiracy. The US Government has asked Google for user data 4,600+ times. That said, the debate is really more about personalization and whether or not you want to have your results filtered for you.
At aimWest, an organization I belong to, based in Grand Rapids Michigan, we discussed this topic a couple months ago. The event was in an open fishbowl format - which if you've never attended one, you have to find one or host one yourself. They're amazing! The topic was riveting, as you can imagine, otherwise you wouldn’t still be reading this post. Our fishbowl had 5 chairs in the middle of a circle of chairs. One chair had to remain open through out the evening, but anyone from the audience could jump up and hit that open chair. Once the 5th was filled, one of the other 4 had to sit down. In case you didn't know, I'm the newest President of aimWest – It's my job to start off and end a meeting – Chief Moderator as it were. I kept the event going for over an hour and a quarter. Generally the speaker portions of our meetings are 45 minutes long. At least half of the attendees seated themselves and joined the conversation.
An aimWest chair sitter did mention that they believed that the entire filter bubble will evolve over the next couple years. Tim Ferris believes that filtering is going bio-metric in the next 48 months. “Ferris uses gadgets and automated spreadsheets that can track our bodies’ biorhythms, including REM cycles, calorie intake, heart beat, blood pressure, glucose levels and even vitamin deficiencies... Those data streams can then be combined to infer how stressed you are, when you’re drowsy and, increasingly, what mood you’re in.” (from The Filter Bubble Blog site) Think about that one as you're formulating your thoughts and comments on the Filter Bubble. Imagine heart rate data being sent to insurance companies. I should think that there will be a huge call for privacy attorneys and engineers in the near future.
One last thing, we should have some videos, that a board member took at the aimWest event, up on YouTube, if they aren't already. If you missed the event these will just be teasers. You missed a great one. I've included a couple links in this post. Read up on data mining, personalization or The Filter Bubble, how ever you like to look at it – and come back and comment here. Would you like aimWest to do another Filter Bubble Fish Bowl event? In like a year?
Yes that's a play on words. A few of us in West Michigan have noted that there seem to be more startups in Grand Rapids than in some other areas of the country. Now I don't know if that's actually true or just a perception. Some modest research shows Michigan near the bottom middle of states with per-capita allotted startup capital, so I could be wrong. I don't know if that stat includes angel investors or not, either. What is exciting is that we have some local entrepreneurs that are putting up some funds to help local startups - like the
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