Posts Tagged “Claude Shannon”

The view of communication as information transfer was furthered by the application of Claude Shannon’s “Mathematical Theory of Communication,” as posited in his 1948 paper of the same name.

In his paper, Shannon posited the reproduction of messages as an engineering problem and looked at the process of communication in terms of accurately conveying the symbols of communication through technological sources, such as the telegraph. The main issue at stake for Shannon was the proper encoding of information, which he felt would allow for a time savings by encoding the message sequences into proper signal sequences that eliminated some of the redundancy found in language, and which, in turn, would lead to better encryption forms.

Shannon’s one-way communication model helped to set off the academic field of modern communication theory and research by providing an understanding of the main components to communication: source, message, channel, receiver.

The ability of a theory from one academic discipline to provide intellectual points of leverage for investigation in another discipline shouldn’t be discounted. Applying theories in new ways enhances our ability to think more broadly about the worls. However, not carefully exploring new paradigms can intellectually trap us in unfounded assumptions.

That said, the No. 1 reason Shannon’s theory shouldn’t have been applied to human communication rests in its origins. Shannon’s major goal was to determine how an information source could be described mathematically to ensure proper information encoding to save time and protect the message. It was not to influence or cause someone to take some action.

Shannon’s theory grew from the desire to prevent effective communication, by introducing noise to the message, making the encrypted message more secure. Thus noise was a positive aspect of his information theory. The more noise, the more secure the encrypted message.

Communicators grapple with noise in their message every day. We spend years honing our communication skills - everything from improving our writing to developing creative, cutting edge designs - to eliminate as much noise as possible and get our messages read. But we often feel we’re working in vain when our messages, carefully crafted for simplicity and clarity, are completely misunderstood because of noise.

Communication noise has been defined as “anything that interferes with” the message being received as intended, and it is deeply rooted in the transmission model of communication: a sender sends a message and a receiver receives it. It arose from the application of Claude Shannon’s A Mathematical Theory of Information, which he developed in the 1940s to enhance the encryption of military messages. For Shannon, noise was a positive because it meant a message couldn’t be read easily.

Since then, Shannon’s theory and the idea of noise have been applied to many different human communication disciplines, including marketing and advertising. But the definition for noise is largely insufficient, is opposite of the meaning Shannon had placed on it, and reflects the problematic assumptions inherent in the transmission model of communication: that human communication is nothing more than a sender encoding his ideas into words or pictures and a receiver interpreting them.

As a graduate student, noise became of particular interest to me. I found that my general observations of family and friends showed very different and inconsistent reactions to messages, particularly television ads. This led me to take a look at the idea of noise and to build my master’s thesis around the subject.

I’ll share my thoughts and findings from my thesis work in future posts. because, if we ever are going to combat noise in our communication programs, I feel we need to rethink the definition of noise.