More than three-quarters of American adults own a smartphone, and on average, they spend about two hours each day on it. In fact, it’s estimated that we touch our phones between 200 and 300 times a day—for many of us, far more often than we touch our partners.
from Pocket http://ift.tt/2malWIv
I’ve included this on the lifestream because it reminded me of one of the challenges presented by big data outlined by Eynon – inequality. Big data, she argues, may both reinforce and even exacerbate existing social and educational inequalities – Eynon particularly points to those who are online more frequently (those people, as far as she is concerned, who are in a particular socio-economic bracket).
But these few lines gave me pause for thought:
I’d argue, contra Eynon, that in fact the socio-economic bracket to which she refers is (very much) potentially indicative of one’s ability to protect oneself online – able to afford to download tor browsers, for example. So it’s not that more data will be collected about people of a specific socio-economic status; it’s that those of a different socio-economic status may be less able to control what data is collected.