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George Gerbner first published his model in his 1956 paper Toward a General Model of Communication. [129] [130] It is a linear transmission model. It is based on the Shannon–Weaver model and Lasswell's model but expands them in various ways. [131] [130] [132] It aims to provide a general account of all forms of communication.
Decoding is all about understanding others, based on the information given throughout the message being received. Whether there is a large audience or exchanging a message to one person, decoding is the process of obtaining, absorbing and sometimes utilizing information that was given throughout a verbal or non-verbal message.
A model of communication is a simplified presentation that aims to give a basic explanation of the process by highlighting its most fundamental characteristics and components. [16] [8] [17] For example, James Watson and Anne Hill see Lasswell's model as a mere questioning device and not as a full model of communication. [10]
[4] [5] Later, Wilbur Schramm introduced a model that identified multiple variables in communication which includes the transmitter, encoding, media, decoding, and receiver. [ 6 ] In Berlo's SMCR model, the sender is one who sends the message, the receiver receives the message, which is transmitted through the channel where disturbances might ...
Schramm's model is based on the Shannon–Weaver model. According to the Shannon–Weaver model, communication is an interaction of various components. A source translates a message into a signal using a transmitter. The signal is then sent through a channel to a receiver.
The Shannon–Weaver model is one of the earliest models of communication. [2] [3] [4] It was initially published by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication". [5] The model was further developed together with Warren Weaver in their co-authored 1949 book The Mathematical Theory of Communication.
Robert T. Craig (born May 10, 1947) is an American communication theorist from the University of Colorado, Boulder who received his BA in Speech at the University of Wisconsin–Madison, and his MA and PhD in communication from Michigan State University.
The foundation of the uncertainty reduction theory stems from the information theory, originated by Claude E. Shannon and Warren Weaver. [2] Shannon and Weaver suggests, when people interact initially, uncertainties exist especially when the probability for alternatives in a situation is high and the probability of them occurring is equally high. [6]