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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]
Media multiplexity theory was a concept developed by Caroline Haythornthwaite, based on her observations in organizational and educational settings. The theory posits that the more communication channels one uses with another person, the stronger the bond with that person. The theory is noted for its simplicity.
One of the earliest models of communication was given by Aristotle. [2] [71] He speaks of communication in his treatise Rhetoric and characterizes it as a techne or an art. [72] His model is primarily concerned with public speaking and is made up of five elements: the speaker, the message, the audience, the occasion, and the effect. [71] [73]
The communication skills required for successful communication are different for source and receiver. For the source, this includes the ability to express oneself or to encode the message in an accessible way. [8] Communication starts with a specific purpose and encoding skills are necessary to express this purpose in the form of a message.
Social information processing theory focuses on the social processes that occur when two or more people are engaged in communication, similar to theories such as social presence theory, social penetration theory, and uncertainty reduction theory. What makes SIP different from these theories is its distinct focus on communication mediated solely ...
Situational crisis communication theory; Social comparison theory; Social constructionism; Social identity model of deindividuation effects; Social information processing (theory) Social network; Social objects; Social representation; Social support; Social Support Questionnaire; Social undermining; Source–message–channel–receiver model ...
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In communication theory, the Allen curve is a graphical representation that reveals the exponential drop in frequency of communication between engineers as the distance between them increases. It was discovered by Massachusetts Institute of Technology Professor Thomas J. Allen in the late 1970s.