Perhaps the most common reason given for joining the microsharing site Twitter is "participating in the conversation" or some version of that. I myself am guilty of using this explanation. But is Twitter truly a conversational platform? Here I argue that the underlying mechanics of Twitter more closely resemble the knowledge co-creation seen in wikis than the dynamics seen with conversational tools like instant messaging and interactions within online social networks.
Twitter Data is a simple, open, semi-structured data representation format for embedding machine-readable, yet human-friendly, data in Twitter messages. This data can then be transmitted, received, and interpreted in real time to enable powerful new kinds of applications to be built on the Twitter platform.
Real-time web search - which scours only the latest updates to services like Twitter - is currently generating quite a buzz because it can provide a glimpse of what people around the world are thinking or doing at any given moment. Interest in this kind of search is so great that, according to recent leaks, Google is considering buying Twitter.
While news from Iran streams to the world, Clay Shirky shows how Facebook, Twitter and TXTs help citizens in repressive regimes to report on real news, bypassing censors (however briefly). The end of top-down control of news is changing the nature of politics.
Recently twitterdata.org introduced a format for sending semantic triplets through Twitter.
An alternative format is, of course, our RoboCrunch Action Protocol.
Zenbe is free email that works with the email you already use.
Zenbe offers many features, including email, online calendar, lists, mobile sync, file sharing, team collaboration. It even works with Facebook and Twitter.
E-mail is no longer just e-mail, and it arguably hasn't been for some time. Webmail clients like Yahoo's have offered IM and calendar integration for a while, and now Gmail allows video chatting and embedded gadgets. Zenbe, a new startup, is bringing social features, collaboration, and a new perspective on our e-mail routine with things like a sharable wiki, discussions, and even a Twitter sidebar.
This summary was born out of a question on Twitter and percolated to FriendFeed, which was "Who is using RDF and integrating other resources at the minute and what are those resources? From this question, several resources were highlighted
A tag cloud is a list of words in different sizes and colors, with or without a sense of depth (3D), meant to represent the statistical importance of keywords mentioned in a particular document base (a blog, a website, twitter,…). It serves as an indicator of the relative importance of the use of certain ideas in the document base at hand. It is a bottom-up, very fuzzy method for the synthesis of knowledge from an arbitrarily big aggregate of (text) data. Because it rests entirely on statistics, very often there is absolutely no relationships between the keywords of a tag cloud. Worse even, if they existed (by pure chance), there is absolutely no way of finding out about the meaning of those relationships.
Hashtags are a community-driven convention for adding additional context and metadata to your tweets. They're like tags on Flickr, only added inline to your posts. Hashtags can be created by anyone simply by prefixing a word with a hash symbol: #myhashtag.
Tagalus lets users define tags so that others can understand what they're talking about. Other users can vote on definitions and decide which best describes the given tag.