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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.

Context isn't an optional approach for brands; it is one increasingly mandated by a connected smart consumer.

There's no way to compare the results to people's views on standard banners, because Harris didn’t ask respondents about that format. It did, however, ask the same questions about infomercials and print advertorials, with similar results.

We’re not saying native doesn’t have a place in a marketing mix. We’re saying, that’s not the most effective way to build a brand.”

Of course, there are issues with self-reported surveys, especially one that requires participants to be honest about their views about something as divisive as advertising.

the results also conflict with joint research by Nielsen and Facebook that found that overall, social ads—those served to Facebook users whose Facebook friends are fans of, or interacted with, the advertised brand—generated a 55 percent lift in recall over non-social ads.

“Engagement rates with sponsored stories are substantially higher than other ads on the site, and typically, [people] engage with things they find relevant and interesting,” Bruich said. “We do not see any evidence that they negatively impact people’s experience on the site.”

It’s also worth noting that Harris showed respondents generic examples of sponsored stories, not examples of actual sponsored stories people are served on their own Facebook news feeds, where the ads are aligned with their personal experiences and preferences.

a new survey due out today by Harris Interactive for MediaBrix, a social and mobile ad firm, says otherwise. Harris asked online adults what they thought about three native ad formats—Twitter’s Promoted Tweets, Sponsored Stories on Facebook and video ads that appear to be content. According to the survey, a majority found the ads negatively impacted or had no impact on their perception of the brand being advertised.

People had the strongest reaction to sponsored video ads, with 85 percent saying they

negatively impacted or had no impact on their perception of the brand. Sixty-two percent said the same of Promoted Tweets and 72 percent of Sponsored Stories. The survey also revealed that 45 percent found Promoted Tweets misleading, while 57 percent and 86 percent said the same about Sponsored Stories and video ads, respectively.

Foursquare will only provide notifications that are relevant to you personally. The application learns your behavior based on previous check-ins and recommendations. You won’t get notifications everywhere you go; rather, when you’re at a restaurant, Foursquare will crawl the tips and if there is one that fits your profile, you will be notified. Additionally, a new swipeable carousel of suggestions at the top of the application’s home page will show location-based suggestions, such as deals around the corner or something saved to your to-do list nearby. 

Local social advertising will total $1.1 billion this year, BIA/Kelsey reports, compared to $3.47 billion in national spend. By 2016, the Chantilly, Va.-based firm predicts, local social will nearly triple, to $2.95 billion, while national will nearly double to $6.26 billion.

Meanwhile, per BIA/Kelsey, general local media spend will grow from $134.6 billion this year to $147.1 billion by 2016.

Ads in the News Feed are Page Post Link Ads.  To develop them, keep in mind the following specifications: 500 characters of allotted text, anything beyond that will be truncated Attached links contain an image, title, and the domain in the body text Depending on the length of the body text, 2 to 3 lines can be filled within the ad Images should be 90 x 90 pixels

News Feed CTR’s can be up to 10x higher than standard Facebook ads.