@Publish

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?

the feature offers developers unique opportunities to reach users who have taken specific in-app actions, including in their competitor’s apps. It also gives brands ways to segment and target their fans by the actions they take on their page or a competitor’s page.

Action spec targeting is also interesting in that advertisers can define a “negative action spec,” meaning users who have not taken a particular action. For example, a developer could reach users who have played a game, but not made an in-app purchase in the last 10 days. Advertisers can also reach friends of users who have taken a particular action.

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.

The difference is Applicant A has a large social following of Twitter followers and Facebook friends which they’ve used proactively to connect with future professors, industry leaders, and executives at companies. They’ve already built a network of people who they are sharing valuable content with, allowing their strengths to shine. You are able to get a genuine understanding of the applicant by seeing how Applicant A engages with their followers and posts about the issues he/she is passionate about.

The scenario remains the same for job applicants. When choosing between two similar applicants, hiring managers are increasingly turning to social media outlets to supplement information they are unable to glean from applications or interviews. Many companies use social channels as screening tools.

Applicant B may have a social media presence (what college-age kid doesn’t?), but never took the time to fully develop it and turn it into an asset by having a “neutral” (read: a non-keg-stand) avatar photo, removing inappropriate language, and posting information that spotlights passions and strengths. As the college admissions recruiter, you can only choose one. Who would you choose? In this case, Applicant A’s wise use of social media gives him/her an edge over an otherwise perfect Applicant B.

Students with a robust social media presence and clearly defined personal brand stand to become only more influential.

Imagine a college admissions recruiter evaluating two applicants side by side. They both look the same on paper. They shine academically, with impressive transcripts, essays, and SAT scores. Both have an extensive list of extracurricular activities and outstanding recommendation letters.

77% of employers use social media to recruit candidates

the subconscious mind is energized when jumping to the next line (as long as it doesn’t happen too frequently, see above bullet point). At the beginning of every new line the reader is focused, but this focus gradually wears off over the duration of the line (“Typographie”, E. Ruder).

more posts don’t always mean higher engagement. Fans may get overwhelmed if your posts are cluttering their News Feeds and it may ultimately result in them Unliking your Page.

You must also determine which content is most engaging for your business, and create posts geared toward this. Photos are generally the most engaging type of Facebook post and will be all the more important once the new Facebook News Feed is launched, as as your photos will be more conspicuous. Creating content that your fans can engage with (Share, Comment, and Like) and that will, in turn, increase the reach of the post. The more engaging posts will appear more prominently in the News Feeds of the friends of your fans, allowing you to grow your fan base, and spread your message to more Facebook users.

The huge increase in brands’ posts over the years makes it all the more difficult to engage your fans. With the congestion users receive in their New Feeds, brands must pay attention to the content they are posting, the frequency, and the times of day.