October 24, 2010
Notes, links, and comments, October 24, 2010
Time for a notes/links/comments post just for Text Technologies:
- TechCrunch got sold, GigaOm raised money, and VentureBeat/MediaBeat provided a good starting link for both those stories and more. Since TechCrunch and GigaOm are/were both private, financial details are murky, but:
- TechCrunch is variously reported as having revenue in the $6-10 million range, probably mainly from events. (If you believe that they sell ~3000 total tickets at ~$2000 each to two annual versions of TechCrunch Disrupt, that makes sense.)
- GigaOm reports >10,000 subscribers to market research sevice (sort of) GigaOm Pro, at $199, apparently concentrated on the vendor side.
- John Gruber straightforwardly posts both ad rates and circulation for his blog. It’s a simple $5000/week for readership that exceeds mine by >1 order of magnitude.
- The New Yorker points out Gawker Media may not yet have crossed $20 million in revenue.
- An “ASCAP for news” seems to finally be on the way.
- Business Week/Bloomberg notices a trend that social-media/Voice of the Customer/Voice of the Market text analytics firms are getting acquired by bigger marketing-oriented firms. Seth Grimes, however, argues that the same trend is already passe’.
- TechCrunch accused the Wall Street Journal of killing a story about sister company MySpace, then quickly running it after TechCrunch caught them.
- LinkedIn has a really cool-looking tech blog. One recent post describes LinkedIn’s approach to socially-informed search. I read about it in a thoughtful post on Daniel Tunkelang’s blog.
- Bill Simmons took 3843 words to explain the story of a two-word tweet — “moss Vikings.” Somewhere in there are a few interesting ruminations about media in the current age.
- Some notes and links that actually belong here instead went up on DBMS 2 a few weeks ago.
- About half of what I write about liberty and privacy is highly relevant to the subjects of this blog, including almost all of today’s post.
Categories: Blogosphere, Online media, Sentiment analysis, Social software and online media, Text mining
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