五月第五天，学习 ai 新词，机器启发式

“机器启发式”（machine heuristic）是传播心理学中的一个核心概念，由学者Sundar首次提出。该理论认为，在信息爆炸的时代，人们为了高效处理海量信息，会依赖一种心理捷径。当用户看到信息带有“由AI生成”或“算法推荐”等技术线索时，会下意识地启动“机器启发式”认知，即倾向于认为机器生成的内容比人为内容更加客观、中立和可靠。这种认知模式深刻地影响着用户在网络环境中对信息质量和可信度的快速判断。

English Paragraph

“Machine heuristic” is a key concept in communication psychology, first proposed by scholar Sundar. This theory posits that in the age of information overload, people rely on a mental shortcut to process vast amounts of data efficiently. When users encounter cues indicating that information is “AI-generated” or “algorithm-recommended,” they subconsciously activate the “machine heuristic.” This leads them to perceive machine-generated content as more objective, neutral, and reliable than human-created content. This cognitive pattern profoundly influences how users make rapid judgments about the quality and credibility of information in online environments.
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