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Girls (70 percent) are more likely than boys (50 percent) to have private profiles.

“You have to assume everything is being collected,”

this sort of "anticipatory computing" could be very useful for distance learning, or perhaps job interview situations during which an interviewer meets a candidate: Their conversation could be better supported with background information available online.

How comfortable would you be with the idea that a Google, Samsung, or Apple device was actually listening to what you say all the time, everywhere you go, no matter who you're talking with or the exact subject of your discussion? It's a good question. Here's a better one: How much would you trust these firms to maintain your privacy, to keep your data safe and not to share it with ad companies or the authorities?

They throw into relief the larger questions of privacy policy we’re currently wrestling with as a culture: Too much disclosure of the social graph can lead to friends feeling that you’re tattling on them to a corporation. The interest graph can turn your passions into a marketing campaign. The behavior graph can allow people who wish you harm to know where you are and what you’re doing. And revealing the personal graph can make it feel like an outside entity is quite literally reading your mind.

companies are actively constructing these graphs already. These products and services are in the market today, but most in existence target only one or two of these graphs. Few are pursuing all four, both given the immaturity of the space and a lack of clear targets to shoot for. This has the unintentional effect of highlighting the risks of using such services, without demonstrating their benefits. For the potential of contextual computing to be realized, these data sets must be integrated.

In an ideal contextual computing state, this graph would be complete--so gentle nudges by software and services can bring together two people who are strangers but who could get along brilliantly and are in the same place at the same time. It could be two people who share a friend and who simultaneously move to Omaha, where neither person knows a soul.

It’s easy for data to depict what you actually do instead of what you claim to do. Sensors do the job. So do, if less elegantly, self-reporting mechanisms. This data can sit in pivotal contrast to the interest graph, allowing computers to know, perhaps better than you, how likely you are to go for a jog. It would be useful, too, for a travel site that notes how you tell friends you’d like to visit China but records that you only vacation in Europe. Rather than uselessly recommending vacation deals to Beijing, a smart travel app would instead feed you deals to Paris or Berlin. The behavior graph provides the foundation, to some extent, of Google Search, Netflix recommendations, Amazon recommendations, iTunes Genius, Nike+ run tracking, FourSquare, FitBit, and the entire "quantified self" movement. When mashed against the other three graphs, there’s a potential for real insight.

Within a decade, contextual computing will be the dominant paradigm in technology.

And now, after we voluntarily put all our data in someone else’s keeping, alternately trusting and ignoring them when they told us how they can read it but wouldn’t dare, could sell it but don’t need to, might disclose it to the government but only if they have to, we’re finding out they’ve been doing all this and more the whole time. We’ve been pouring our data into the river for years and just pretending there was no one downstream.

I believe we are going to decentralize and cellularize once we realize how needlessly dependent on distant and dubiously beneficial third parties.

In a way, we want the opposite of Pandora’s box. Something that, once shut, no one can open but us: Pandora’s lockbox.

the direction of development in the tech sector really does seem geared towards trivialities.

Here, then, is the real question: where is the breakthrough device or software that decouples our data from the oppressive web 2.0 superstructure with no loss to functionality? One might ask: where is the Napster for privacy?

The networks that we have come to rely on were once only possible through powerful intermediaries. But what was once symbiotic has become parasitic, and those intermediaries have now outlasted their usefulness and squandered whatever trust they conned out of us when we were given the choice between tainted privilege and safe obsolescence. We did it their way. It’s time to take the highway.

81 percent of those polled were on Facebook and had a median amount of 250 friends, far more than any other generation.

Essentially, when you log into your account on your full-size computer, Twitter will analyze the cookies in your browser to see where you’ve been on the non-mobile web. Then, when you log in to that same account on mobile, it can still use your web cookies to hit you with retargeted ads.

mobile phones don’t have the ability to set cookies so you can’t do retargeting.

Facebook only recently began allowing retargeted ads on mobile, and only through a “custom audiences” targeting program separate from FBX.

Lucky for Twitter, most of what people do on it is public, so it doesn’t spark the same privacy concerns as Facebook. Twitter also offers an opt-out of retargeting under Promoted Content on its Security And Privacy settings page. Plus it honors Do Not Track for users that enable it in their browsers.

It’s also recently opened up keyword targeting so advertisers can reach people who’ve tweeted certain words. Between keyword targeting and cookie retargeting, Twitter is breaking out of the demand generation and into the lucrative demand fulfillment part of the advertising funnel where Google’s search ad business lives. Advertisers are willing to pay top dollar if you can deliver them someone ready to buy their product. And there’s no better sign of someone’s intent to buy than having recently visited a site and almost made the purchase already. Cookies could be very tasty for Twitter.

Despite Justin Timberlake's star power on Myspace, only 7% of surveyed teens use the network, according to the Pew report. And all 7% said they used other social media accounts more frequently than MySpace

Pew found that daily usage has not changed on social platforms in any significant way. "The frequency of teen social media usage may have reached a plateau," the report said.

Marketers are already confronting the implications of a more shadowy Internet, specifically the phenomenon known as DarkSocial and DarkSearch.

“DarkSocial,” estimates that 69% of the publication’s social traffic is dark--meaning users who access content by clicking on a link emailed or IMed to them. Marketers don’t know where these users came from or what exactly drove them to their website.

cloud services like Google and Apple are proactively stripping referral data out when sending users to third party sites via search. These DarkSearch visitors, like their DarkSocial counterparts, also end up in the “direct referral” bucket of analytics reporting, indistinguishable from the geography-less visitors who typed your domain name directly into their browsers to visit your site.

In the near-term, brands will have to confront a potentially darker Internet, as the roadblocks to data-driven marketing thrown up by DarkSocial, DarkSearch and an emerging DarkNet increase. There will be real consequences, including in investments in marketing, if it becomes more difficult to quantify customer engagement.

In the longer-term, we may see a nascent e-commerce system more familiar to science fiction fans (and current users of services like Silk Road, the online illegal drug marketplace). Imagine a future Amazon.com-like e-commerce site where all profiles are anonymous, all payments utilize crypto-currencies, and all deliveries of physical goods use inexpensive, multi-hop services that conceal the ultimate end delivery address behind anonymous dropboxes.

At present, Google Now’s cards are actually quite limited, covering only: Local weather - for both your current location and your work location Local traffic information - including to your “next likely destination” Public transit information - when you’re near a transit stop, it tells you what bus or train will come next Your next appointment - and how long it will take you to get there Airline flight information - including delays and how long it will take you to get to the airport Sports results - for your favorite teams in real time Information about nearby places - bars, restaurants and other attractions Translation services and currency conversion rates - when it nows you’re in a foreign country Time at home - when you’re in a different time zone

The advantages of the Google ecosystem boil down to one term: convenience. Are the results and help you get from Google Now worth sharing the deeply personal information involved? That’s a personal question for each user of devices with Android 4.1, but it’s important to remember that Google still collects all this information whether or not you use Google Now. It’s just that the new service makes it impossible to ignore just how much the company knows about you.