A mathematical framework developed in 1948 to measure information transmission helps explain why clickbait headlines are designed to be uninformative.
Key facts
- •Claude Shannon developed information theory in 1948 while working at Bell Labs.
- •Shannon entropy uses logarithms to calculate the information content of a message based on its probability.
- •The term 'bit' was suggested by John Tukey to represent binary digits used in digital communication.
- •Clickbait headlines function by withholding information to entice users to click, effectively 'hacking' the principles of information theory.
- •Traditional headlines aim to convey maximum information efficiently, whereas clickbait aims to minimize information in the headline to drive traffic.
Information theory, a field established by mathematician Claude Shannon in 1948, provides a mathematical basis for understanding how messages convey information. Shannon’s work, originally intended to improve communication over noisy channels at Bell Labs, focuses on the probability of a message being selected rather than its semantic meaning. This framework is now being applied to explain the effectiveness of clickbait, which intentionally withholds information to drive user engagement.
Shannon Entropy and Information
Shannon’s breakthrough was the realization that the specific meaning of a message is irrelevant to the engineering problem of communication. He developed a formula known as Shannon entropy to quantify information based on the probability of a message occurring. In this system, surprise is the key metric; a message that is highly probable, such as the outcome of a doctored coin that always lands on heads, conveys no new information and thus has zero entropy.
The Divergence of Math and Journalism
While Shannon’s theory measures the efficiency of communication, it does not account for the accuracy or value of the information provided. A historical example is the 1948 Chicago Daily Tribune headline 'Dewey Defeats Truman,' which communicated information efficiently from a mathematical perspective but was factually incorrect. Modern clickbait exploits this gap by priming readers for information without delivering it in the headline, forcing a click to complete the communication process and maximize advertising revenue.
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This article was independently rewritten by ManyPress editorial AI from reporting originally published by New Scientist.
