With most search results delivered by algorithms these days, perhaps it isn't too surprising that more web surfers crave a human touch. They've started to turn to friends on social networking sites to help them filter through the information available online and find what they really need. Keep reading to learn more about this trend.
TechCrunch’s Real Time CrunchUp seminar was recently held in San Francisco. One of the most interesting discussions to come out of the event was one that resulted from a roundtable that was entitled “Filtering The Stream: Getting Rid of the Noise” with panelists including FaceBook’s Chris Cox and Bret Taylor, Google’s Amit Singhal, Microsoft’s Lili Cheng, and MySpace’s Bret Taylor, among others.
The consensus of the roundtable: people are increasingly looking for more personalized ways to filter their media. No longer are they interested in using services that can supposedly filter results based on their interests. Now, consumers are beginning to rely on other people to assist them in sifting through the massive amounts of videos, news, music, and other types of online media.
How do they do this? A majority of this assistance comes from social networking sites, recommendations from friends, and simple, straightforward editorial filtering. According to the speakers at the Real Time CrunchUp, this type of assistance in navigating the web offers more personalized results and more trusted referrals to information. This element of human touch is quite different than what people have grown accustomed to, which is results based on web crawlers and algorithms.
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