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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.
A common objection is based on the fact that it is a linear transmission model: it conceptualizes communication as a one-way process going from a source to a destination. Against this approach, it is argued that communication is usually more interactive with messages and feedback going back and forth between the participants.
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.
It is a process of interpretation and translation of coded information into a comprehensible form. The audience is trying to reconstruct the idea by giving meanings to symbols and by interpreting messages as a whole. Effective communication is accomplished only when the message is received and understood in the intended way.
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]
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]
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Shannon's diagram of a general communications system, showing the process by which a message sent becomes the message received (possibly corrupted by noise) This work is known for introducing the concepts of channel capacity as well as the noisy channel coding theorem. Shannon's article laid out the basic elements of communication: