The study, which included a nationally representative sample of 1,473 people, found that 53 percent of Web users are looking for recommendations from 'everyday experts,' or strangers with knowledge on a specific topic. For questions about travel and cooking, the gap is even bigger: about 40 percent said they would connect with "everyday experts" while about 20 percent would ask people they know.
Sunday, June 12, 2011
Experts Trump Friends for Web Recommendations
According to research from Meebo, expertise trumps friendship when people are surfing the Web for content that matches their interests.
The study, which included a nationally representative sample of 1,473 people, found that 53 percent of Web users are looking for recommendations from 'everyday experts,' or strangers with knowledge on a specific topic. For questions about travel and cooking, the gap is even bigger: about 40 percent said they would connect with "everyday experts" while about 20 percent would ask people they know.
The study, which included a nationally representative sample of 1,473 people, found that 53 percent of Web users are looking for recommendations from 'everyday experts,' or strangers with knowledge on a specific topic. For questions about travel and cooking, the gap is even bigger: about 40 percent said they would connect with "everyday experts" while about 20 percent would ask people they know.
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Subscribe to:
Post Comments (Atom)
-
We have all repeatedly seen comparisons of equity value of hyperscale app providers compared to the value of connectivity providers, which s...
-
It really is surprising how often a Pareto distribution--the “80/20 rule--appears in business life, or in life, generally. Basically, the...
-
One recurring issue with forecasts of multi-access edge computing is that it is easier to make predictions about cost than revenue and infra...
No comments:
Post a Comment