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Tags: presidents, groceries, in, 13, instantly, ever, to, sherlock, hunger, kickstarter, fire, teen, meets, loves, boy, super, earth, blizzcon, something, without, civil, tornado, york, chris, onion, slips, great, band, 20,000, girls, 57, teasing, things, sctop10, tv, rights, brothers, hits, hbo), games, convicted, more, thunder, sofles, draw, having, catching, course, christina, with, Elements of Chance. On July 7, 2007, The Center for New Media at the University of California at Berkeley will hold a conference entitled "Elements of Chance". Seventh in a series of algorithmically timed events, the first of which took place at SFMOMA on 01/01/01, the subject of this conference is the role of chance operations in new media artifacts, such as games, music, simulations, and images. The algorithmic basis of digital media has encouraged a proliferation of projects that explore the generative effects of randomness and probability in the field of art production. When and how do media developers, programmers, and artists choose to allow random or pseudo-random operations to affect the performance of a media artifact?
Instead of traditional papers we solicit video contributions that engage these questions. Each presenter will film either a 7 or a 14 minute video discussing the role of chance in a particular work. We encourage submissions from both art practitioners and art critics/historians. To that end, presenters may speak about their own work or about another artist, as long as the content of the video circulates around the central theme of "chance". Labeling and tagging are carried out to perform functions such as aiding in classification, marking ownership, noting boundaries, and indicating online identity. They may take the form of words, images, or other identifying marks. An analogous example of tags in the physical world is museum object tagging. In the organization of information and objects, the use of textual keywords as part of identification and classification long predates computers. However, computer based searching made the use of keywords a rapid way of exploring records.
Online and Internet databases and early websites deployed them as a way for publishers to help users find content. In 2003, the social bookmarking website Delicious provided a way for its users to add "tags" to their bookmarks (as a way to help find them later); Delicious also provided browseable aggregated views of the bookmarks of all users featuring a particular tag. Flickr allowed its users to add their own text tags to each of their pictures, constructing flexible and easy metadata that made the pictures highly searchable. The success of Flickr and the influence of Delicious popularized the concept, and other social software websites -- such as YouTube, Technorati, and Last.fm -- also implemented tagging. Other traditional and web applications have incorporated the concept such as "Labels" in Gmail and the ability to add and edit tags in iTunes or Winamp.
Tagging has gained wide popularity due to the growth of social networking, photography sharing and bookmarking sites. These sites allow users to create and manage labels (or "tags") that categorize content using simple keywords. The use of keywords as part of an identification and classification system long predates computers. In the early days of the web keywords meta tags were used by web page designers to tell search engines what the web page was about. Today's tagging takes the meta keywords concept and re-uses it. The users add the tags. The tags are clearly visible, and are themselves links to other items that share that keyword tag.
Knowledge tags are an extension of keyword tags. They were first used by Jumper 2.0, an open source Web 2.0 software platform released by Jumper Networks on 29 September 2008. Jumper 2.0 was the first collaborative search engine platform to use a method of expanded tagging for knowledge capture.
Websites that include tags often display collections of tags as tag clouds. A user's tags are useful both to them and to the larger community of the website's users.
Tags may be a "bottom-up" type of classification, compared to hierarchies, which are "top-down". In a traditional hierarchical system (taxonomy), the designer sets out a