The Filter Bubble - Eli Pariser [9]
Without sitting down next to a friend, it’s hard to tell how the version of Google or Yahoo News that you’re seeing differs from anyone else’s. But because the filter bubble distorts our perception of what’s important, true, and real, it’s critically important to render it visible. That is what this book seeks to do.
1
The Race for Relevance
If you’re not paying for something, you’re not the customer; you’re the product being sold.
—Andrew Lewis, under the alias Blue_beetle, on the Web site MetaFilter
In the spring of 1994, Nicholas Negroponte sat writing and thinking. At the MIT Media Lab, Negroponte’s brainchild, young chip designers and virtual-reality artists and robot-wranglers were furiously at work building the toys and tools of the future. But Negroponte was mulling over a simpler problem, one that millions of people pondered every day: what to watch on TV.
By the mid-1990s, there were hundreds of channels streaming out live programming twenty-four hours a day, seven days a week. Most of the programming was horrendous and boring: infomercials for new kitchen gadgets, music videos for the latest one-hit-wonder band, cartoons, and celebrity news. For any given viewer, only a tiny percentage of it was likely to be interesting.
As the number of channels increased, the standard method of surfing through them was getting more and more hopeless. It’s one thing to search through five channels. It’s another to search through five hundred. And when the number hits five thousand—well, the method’s useless.
But Negroponte wasn’t worried. All was not lost: in fact, a solution was just around the corner. “The key to the future of television,” he wrote, “is to stop thinking about television as television,” and to start thinking about it as a device with embedded intelligence. What consumers needed was a remote control that controls itself, an intelligent automated helper that would learn what each viewer watches and capture the programs relevant to him or her. “Today’s TV set lets you control brightness, volume, and channel,” Negroponte typed. “Tomorrow’s will allow you to vary sex, violence, and political leaning.”
And why stop there? Negroponte imagined a future swarming with intelligent agents to help with problems like the TV one. Like a personal butler at a door, the agents would let in only your favorite shows and topics. “Imagine a future,” Negroponte wrote, “in which your interface agent can read every newswire and newspaper and catch every TV and radio broadcast on the planet, and then construct a personalized summary. This kind of newspaper is printed in an edition of one.... Call it the Daily Me.”
The more he thought about it, the more sense it made. The solution to the information overflow of the digital age was smart, personalized, embedded editors. In fact, these agents didn’t have to be limited to television; as he suggested to the editor of the new tech magazine Wired, “Intelligent agents are the unequivocal future of computing.”
In San Francisco, Jaron Lanier responded to this argument with dismay. Lanier was one of the creators of virtual reality; since the eighties, he’d been tinkering with how to bring computers and people together. But the talk of agents struck him as crazy. “What’s got into all of you?” he wrote in a missive to the “Wired-style community” on his Web site. “The idea of ‘intelligent agents’ is both wrong and evil.... The agent question looms as a deciding factor in whether [the Net] will be much better than TV, or much worse.”
Lanier was convinced that, because they’re not actually people, agents would force actual humans to interact with them in awkward and pixelated ways. “An agent’s model of what you are interested in will be a cartoon model,