Easy Twitter Filtering
TweetDig is the smarter way to filter Tweets, so you can prioritize what you read. It's time to hide the Twitter 'noise' and de-clutter your timeline.
Tag and filter your peeps to organize them; add notes and full contact details; export custom lists to Twitter and vCard; receive a weekly report of your Twitter activity...everything you need to stay organized.
one of the functions that networks such as Twitter does is to serve as something of a human powered feed, a real time living stream of links, content and conversation often times generated by our friends, peers or the people we look to as "filters"—indivisuals who we trust to seperate the wheat from chaff.
the internet is still about information—but it's also about attention
We all suffer from technology induced attention deficit disorder,
Bookmarks don't help—now we need tools like del.icio.us. And of course we need Google more than ever. And there's once more thing we need. We need each other to make sense of it all. We need a Web with a human touch to help guide us through the fragmented, landscape of the internet. And that's where the human feed comes in.
power in the human feed
Often times the quality of links and information I get on Twitter is better than what I would have gotten from Google because the knowledge of the human feed is deep, niche, and fickle.
It's not always about size—it's also about quality
WhoShouldiFollow looks at who your Twitter friends follow to suggest new people. By adjusting the sliders on the results page, you can give greater preference in the ranking to less popular Twitter users, or those who are near you.
The algorithm is an item-to-item collaborative filter, somewhat similar to how Amazon makes recommendations.
Basically, it's a Flash application that fetches your friends and followers from Twitter when you click the "Whack!" button, then displays them for you, letting you quickly paginate through them. By default, the list contains all your friends and followers and is sorted by last update, showing those who most recently updated first. You can sort the list alphabetically either ascending or descending by Twitter ID. You can filter the list in several ways: only friends or only followers, all friends or all followers, and mutual friends.
Get fully manageable page with all friends, followers with avatars, where You can do several bulk actions as bulk follow, bulk unfollow, bulk block. Very handy.
twhirl is a social software desktop client, based on the Adobe AIR platform.
Some of twhirl's features:
* runs on both Windows (2000/XP/Vista) and Mac OSX
* connects to multiple Twitter, laconi.ca, Friendfeed and seesmic accounts
* notifications on new messages
* shorten long URLs (using snurl, twurl or is.gd)
* cross-post twitter updates to Pownce and Jaiku
* post images to TwitPic
* search tweets using Twitter Search and TweetScan
* timeline filtering
* color schemes
* automatically check for new versions
There are a lot more things twhirl can do to improve your twitter experience, and it offers various configuration options to adapt to your personal needs.
There's a lot of noise on Twitter. People use a variety of ways to filter through that noise, from following specific lists, finding like-minded people through third party sites, or using a variety of services and websites to find the information that matters to them on Twitter. Another interesting way to filter through what is being said on Twitter, and better yet, analyse it, is to visualize it [...]
Clean Tweets is a firefox extension that removes selected content from trending topics. It also allows for stopping tweets from accounts that issue these spam topic (c/o BW).
Information overload is so five years ago, but the problem it describes is all too real. Fortunately, there's hope yet for the savvy librarian: Twitter and FriendFeed turn information dissemination on its head, using friends and subscribers as a filter for the best, most credible, and most engaging information out there. As Clay Shirky said at the Web 2.0 Expo keynote in January, the problem isn't "information overload. It's filter failure."