"Data glitches are unavoidable. As technology gets more complex, it's easier and easier for a small bug to creep in and ruin your perfect data. But a growing number of artists in different fields are coming to value these glitches, and have begun attempting to insert them purposefully into their work using a technique called 'databending'.
'Glitch art' is a term that there's some debate over: Many argue that it can only apply when a glitch is unintentional -- when it occurs naturally due to an error in hardware or software that leads to the corruption of whatever it is the artist was trying to create.
But there are ways of intentionally inducing some of these glitches, a process called 'databending'. Databending draws its name from the practice of circuit bending -- a practice where childrens' toys, cheap keyboards and effects pedals are deliberately short-circuited by bending the circuit board to generate spontaneous and unpredictable sounds."
(Duncan Geere, 17 August 2010, Wired UK)
Fig.1 Don Relyea, "glitched out video".
Fig.2 David Szauder, "supra glitch".
"One of the first designs of the information theory is the model of communication by Shannon and Weaver. Claude Shannon, an engineer at Bell Telephone Laboratories, worked with Warren Weaver on the classic book ‘The mathematical theory of communication’. In this work Shannon and Weaver sought to identify the quickest and most efficient way to get a message from one point to another. Their goal was to discover how communication messages could be converted into electronic signals most efficiently, and how those signals could be transmitted with a minimum of error. In studying this, Shannon and Weaver developed a mechanical and mathematical model of communication, known as the 'Shannon and Weaver model of communication'. ...
Shannon and Weaver broadly defined communication as 'all of the procedures by which one mind may affect another'. Their communication model consisted of an information source: the source’s message, a transmitter, a signal, and a receiver: the receiver’s message, and a destination. Eventually, the standard communication model featured the source or encoder, who encodes a message by translating an idea into a code in terms of bits. A code is a language or other set of symbols or signs that can be used to transmit a thought through one or more channels to elicit a response in a receiver or decoder. Shannon and Weaver also included the factor noise into the model. The study conducted by Shannon and Weaver was motivated by the desire to increase the efficiency and accuracy or fidelity of transmission and reception. Efficiency refers to the bits of information per second that can be sent and received. Accuracy is the extent to which signals of information can be understood. In this sense, accuracy refers more to clear reception than to the meaning of message. This engineering model asks quite different questions than do other approaches to human communication research."
(Communication Studies, University of Twente)
Shannon, C.E., & Weaver, W. (1949). The mathematical theory of communication. Urbana: University of Illinois Press.
Hawes, L.C. (1975). Pragmatics of analoguing: Theory and model construction in communication. Reading, MA: Addison-Wesley.
Fig.1 Mathematical (information) model of communication.