Web 2.0
Social Media Reality Check
Posted by brendan on Jun 2, 2011 in CRIB Notes, Facebook, New Tools, Polls, Social Networking, Twitter, Web 2.0, YouTube | Comments Off
Turns out there are not huge swaths of the American public spending their day using social media. Here are some surprising stats posted by our friends over at Frogloop: Twitter: 1.1 % of the U.S. population is on Twitter. (source: April 2011 results from Experian Hitwise.) Facebook: While Facebook says that they have 150M U.S. “active” users, which is 48% of the U.S. population, only 50%...
Read MoreThe New Digital Divide
Posted by brendan on Jan 14, 2011 in CRIB Notes, Facebook, Mobile Phones, Social Networking, Text Messaging, Web 2.0 | Comments Off
Many of us have been closely tracking the evolving “digital divide” in our communities. For the first few decades of the digital revolution we knew that many of our folks lacked access to the basic tools of the internet age — placing them on the wrong side of the “digital divide.” Then things began to change. The rise of ever-more powerful mobile devices —...
Read MoreSocial Networking Primer
Posted by brendan on Jul 9, 2010 in CRIB Notes, Facebook, MySpace, New Tools, Social Networking, Tips and Tutorials, Twitter, Web 2.0 | Comments Off
David Pogue, technology critic at the New York Times, has put together a “handy clip-and-save” primer on social networking. It’s for those who know little about Web 2.0 — or as Pogue writes: Those that Facebook left behind. Here are the key sections: FACEBOOK: This is the biggest social networking service, with almost 500 million members — 22 percent of everyone...
Read MoreThe Rise of the Social Search Engine?
Posted by brendan on Feb 11, 2010 in CRIB Notes, Crowd-Sourcing, Facebook, New Tools, Social Networking, Twitter, Web 2.0 | Comments Off
Ever heard of “social search engines”? They’re sort of a cross between Google, Twitter and Facebook. Social search engines aim to connect people with questions to people who can answer those questions. By contrast, regular Web searches take questions, break them into keywords, and then find Web sites that have the most relevance to these keywords. According to the NYT Bits...
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