“We now routinely bandy about the kind of information online that employers are legally prohibited from asking. Your average Facebook profile can reveal an entire litany of details like your race, sexual orientation, national origin, or religious affiliation that are off-limits in the hiring process.”
However, the bright side to this is “if Social Intelligence finds out you’re pregnant, or gay, or a Muslim, or newly married, or newly gay married to a pregnant Muslim, it leaves that out of its report. All an employer sees is, basically, that you passed or failed. And it won’t flunk you for getting drunk or knocked up.”
Sentries – as filters for the information that is interesting and important to know. People depend in new ways on their networks to tip them off to news of all kinds.
Evaluators — when people encounter new information or something that doesn’t map with their world view, they often now turn to their social networks to help them evaluate 1) the accuracy of the information; and 2) the weight that information should be credited. Is this a Richter 10 event that should change my view of everything? Or a pop-gun burp that doesn’t matter at all. Their networks will help them assign weight to the new thing they’ve learned.
Forums for action/chances to appeal to an audience – in the era of social media when anyone can be a broadcaster or publisher social networks now also provide the audience for content creators creations. People have a sense that those who “friend” them or “follow” them are an audience to be entertained, enlightened, or mobilized
Purchase Data: We not only have data about who buys what; we also now have information about who *almost* buys what (abandoned carts), *when* they buy, in what context, and so on.
Search Data: The original database of intentions – query data (as Battelle says, “what I want”) path from query data, and many more search signals.
Social Data: Who’s your friend and personal tastes data. (Battelle describes it as “Who I am”)
Interest Data: This is data that describes what Battelle and others generally called “the interest graph” – declarations of what people are interested in. It’s related to content, but it’s not just content consumption. It includes active production of interest data points – like tweets, status updates, and checkins.
Location Data: This is data about where people are and information about how often they are there, what apps they use when they are there, and who else is there and when.
Content Data: Knowing patterns of content consumption is a powerful signal. This is data about who reads/watches what, when, and in what patterns.
Wildcard, Miscellaneous Data: Applications use data, email traffic, time-use material known by carriers, individual server side data that companies have.
There are about 7-8 billion connected things now…. 20 billion by 2015 (Intel)…. 50 billion by 2020 (Ericcson) …. The Economist magazine even recently cited without skepticism a prediction of a trillion connected devices in the foreseeable future.
Cisco has predicted that by 2013 the amount of traffic flowing over the internet annually will reach 667 exabytes – that’s more than 44.55 million versions of the Libraries of Congress.
The thought of devices being able to see what we have done on our social networking sites is very scary. However, if the sites don’t allow the companies to see any of your private information it is less of a problem. Though, it is still scary knowing that an employer can still access your Facebook if they wanted to. KInd of scares me to post anything on Facebook or to comment inappropriately on someone else’s- even if it is just a joke.
It is also crazy to see that by 2020 there is a projected 50 billion things connected in the digital world.
Are there any privacy rights left in the world?