Michael Marlatt's Library tagged → View Popular
07 Jul 08
How We Tweet: The Definitive List of the Top Twitter Clients - ReadWriteWeb
-
- Web 56% (20734)
- IM 8% (2975)
- Twhirl 7% (2754)
- Twitterrific 7%
(2462) - TXT 5% (1683)
- Twit
3% (1182) - TwitterFox 2% (1114)
- movatwitter 2% (718)
- P3:PeraPeraPrv 1%
(459) - Netvibes 1% (266)
- TwitBin 1% (260)
- Twitter
Tools 1% (222) - TwitterPod 0% (159)
- TwitterIrcGateway
0% (152) - Snitter 0% (147)
- BeTwittered 0% (106)
- Tweetr 0% (95)
- NatsuLion
0% (84) - Facebook 0% (79)
- PocketTweets 0% (70)
Below is the a list of the top 20 ways we saw people tweet and a graph
showing the Twittersphere share of the top 10 post methods: - Web 56% (20734)
-
For all the press that FriendFeed got
last week for allowing people to post replies directly to
Twitter, it was still 65th on our list and registered barely a fraction of
total tweeting activity. Some
analysts think FriendFeed is a threat to Twitter's existence, but remember
that 56% of users still interact with Twitter on the main site, and Twitter
makes up 44%
of activity on FriendFeed. So which service is really more reliant on the
other? - 1 more annotations...
06 Jul 08
YouTube - IBM TV Commercial on Collaboration/Social Networking (BFF)
social networking video by IBM
02 Jul 08
EditGrid: Online Spreadsheets | Share, Collaborate, and Publish! Access via your mobile device.
21 Jun 08
Crowdsourcing: A Million Heads is Better than One - ReadWriteWeb
-
digg is not only a poster-child for Web 2.0
success, it is also an excellent example of using the wisdom of crowds to
organize and highlight information. digg's concept is simple: users submit links
to websites, articles, news stories, photos, or videos, and other users vote on
whether they are worth checking out. Depending on how many people, who, and how
quickly links are "dugg" they may be promoted to the main page as a worthy link
of the day. -
StumbleUpon is a browser plugin for
Firefox and Internet Explorer that allows users to rate and share web pages. The
plugin is very straightforward: users vote thumbs up or thumbs down on pages and
are served random pages based on their previous picks, specified topic areas of
interest, and the picks of other like-minded users. The idea is that the
sites with the most thumbs up votes, will be the most relevant. Further, users
are fed sites that were voted up by others who share a similar vote history -
i.e. the more you use StumbleUpon, the more it learns about what you like and
the better recommendations it gives to everyone.
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