Entries in 'Buzz & sentiment analysis'

To Dream the Impossible Dream

October 22nd, 2007 by Iain MacMillan · No Comments

Another beast we’re wrestling with at the moment is social media metrics - how to de-fluff some of the current ways in which people try to measure audience engagement and communication effectiveness in this area. It’s going to be a while before we have something meaningful to say, but in the meantime expect to see [...]

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The Internet: A place for women

August 23rd, 2007 by Matt Rebeiro · 2 Comments

Results published by Ofcom yesterday suggest that women use the web more than men. Gasp. Women aged 25-49 spend more time online than men - especially the 25-34’s who account for 55% of net usage compared to men of the same age.
The reason for this, quite emphatically, is MyBeboBook. Women just can’t get enough of [...]

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Top 10 “Powergeeks” all men, says study by Institute for the Staggeringly Predictable

July 20th, 2007 by Dan O'Connor · No Comments

Blender magazine, a publication never knowingly under-filled with spuriously framed lists, has named Apple’s Steve Jobs as the most influential man in Web music. The rest of the top 10 “powergeeks” (sigh) are thus:
2. Tom Anderson & Chris DeWolfe (MySpace)
3. Chad Hurley & Steve Chen (Youtube)
4. Doug Morris (CEO Universal)
5. Ryan Schrieber (Pitchfork)
6. Ian Rogers [...]

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Multiple Choice Day: Question 5

July 17th, 2007 by Dan O'Connor · No Comments

20% of the “most dugg” stories at Digg are about Digg itself. Are the other 80% about:
a) Nothing of any interest to anyone other than tragic digital losers,
b) That one guy in Human Resources who smells like chicken,
c) Poststructural literary theory, with reference to the works of Julia Kristeva or
d) Your mum?
Answers to be [...]

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The Top 100 brands in social media

June 29th, 2007 by Mat Morrison · No Comments

Interesting look from Immediate Future at the buzz share-of-voice and sentiment around top brands, and how this compares with the Interbrand Top Brands chart. Some good, simple background on “what is social media.” How robust are the numbers? What are the methodologies (especially for assessing sentiment?)
read more | digg story

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