According to the Shannon and Weaver model, how is the amount of information measured?

The amount of information, according to the Shannon and Weaver model, is measured by the extent to which a message decreases entropy. Entropy, in this context, refers to the uncertainty or randomness in a set of possible messages. When a message is communicated, it effectively reduces uncertainty by providing specific information that was previously unknown or ambiguous. The more a message narrows down the possible interpretations or options, the more information it conveys, thereby decreasing entropy.

This measurement is fundamental to understanding information theory, as it emphasizes that information is not merely about the length of a message or how many people receive it, but rather about its capacity to convey clarity and reduce uncertainty. A message with high information content will provide significant insights or reduce potential confusion, making option C the accurate choice in this context.