If you are reading this, you are probably a lot like me - interested in (online) PR and cycling. Maybe you follow me on Twitter or use RSS, we might be Facebook friends, or perhaps you just Googled for something like coffee filters or bubble bath.
Whatever the case, it is still a fair bet you you are more likely to be interested in cycling than most other people.
This is partly because we gravitate to people who broadly share our world view, and partly because of the way that Google works.
Most of us would naturally assume that if they search on Google they will get the same results as everyone else.
Not true. December 2009 saw the launch of Google Search which used 57 signals to guess who you are and what you'd like, then tailors results accordingly.
For Eli Pariser, this ushered in "the era of personalisation." Increasingly, we find out about the world through search engines, and increasingly, the view we see is shaped by what computer algorithms think we want to see.
Fears that the internet narrows as well as widens choice are not new, but what Pariser does to great effect is lay bare the technological infrastructure that brings this about.
And it is all rather scary.
I like buying books, and buy too many of them. One of the reasons I buy too many is that I am quite succumb to buying titles that Amazon recommends based on my previous purchases and the buying habits of people with similar purchases. This is rather good in that I have discovered dozens of books I may well not have read without this function; it is bad in that I am voluntarily surrendering some of my freedom of exploration to a marketing niche occupied by middleaged men with a certain education and view of the world, with a guessable disposable income etc.
I also read the Guardian, not least because it shares my political orientation. But by doing so, I necessarily exclude a lot of framings that don't coincide with my world view. I get around this by looking at other news portals, too, but by personalising my search Google narrows my viewpoint. I still buy a physical newspaper so I flick through the pages and see and read stories that are not directly linked to my interests; it is quite hard to do this online, especially if I am reading news on a my phone.
Scanning stories that I wouldn't normally read helps me break out of the filter bubble that prediction engines have created around me.
The filter bubble is Pariser's term for the unseen lens through which personalised search distorts my online exploration. He claims I am completely alone in my invisible bubble, in that it only surrounds me in a unique way, and there is no way in which I can burst out.
The filter bubble does other things, beyong reducing my opportunity for the chance encounters that bring insight and learning: "Search for 'depression' on Dictionary.com and the site installs 233 tracking cookies so other web sites can target you with anti-depressants."
This information is very valuable. "You behaviour is now a commodity, a tiny piece of market that provides a platform for the personalisation of the whole internet."
Companies like Axciom and Blue Kai track such information in incredible detail. Whereas Google Search used 57 signals, the Axciom data factory apparently uses 1,500 and has a detailed profile of 96 percent of American households, information it interprets for credit card companies and brands from Microsoft to Blockbuster.
The filter bubble has many far-reaching effects, for media literacy and democracy, for individual privacy and business ethics, and for understanding the changing nature of interpersonal and communication.
Although I am not sure The Filter Bubble has the best of titles but I am sure that it puts Eli Pariser up with Clay Shirky and Jonathan Zittrain as must-read authors in this field.
Full review to follow... (which Axciom no doubt already knew...).
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