Pew Internet-Elon University "Future" survey results for apps-Web question released

Pew Internet-Elon University "Future" survey results for apps-Web question released

The fifth "Future of the Internet" survey, fielded by Elon University's Imagining the Internet Center and the Pew Research Center's Internet & American Life Project, is now underway. Results from the second survey question on are now available online.



The question examined people's opinions about the likely 2020 future for apps and the Web. Survey participants were asked, “Will the Amazon, Apple, Google model of apps, app stores, and controlled devices dominate to the point of diminishing the importance and utility of the open Web by 2020? What are the positives, negatives, and shades of grey in the likely future you anticipate?” 


The response, as you might imagine, was that "millennials will benefit and suffer due to their hyperconnected lives."



Teens and young adults brought up from childhood with a continuous connection to each other and to information will be nimble, quick-acting multitaskers who count on the Internet as their external brain and who approach problems in a different way from their elders, according to a new survey of technology experts.

Many of the experts surveyed by Elon University’s Imagining the Internet Center and the Pew Internet Project said the effects of hyperconnectivity and the always-on lifestyles of young people will be mostly positive between now and 2020. But the experts in this survey also predicted this generation will exhibit a thirst for instant gratification and quick fixes, a loss of patience, and a lack of deep-thinking ability due to what one referred to as “fast-twitch wiring.”


The survey results are based on a non-random, opt-in, online sample of 1,021 Internet experts and other Internet users, recruited via email invitation, Twitter or Facebook from the Pew Research Center’s Internet & American Life Project and the Imagining the Internet Center at Elon University.  Since the data are based on a non-random sample, a margin of error cannot be computed, and the results are not projectable to any population other than the experts in this sample.

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