31.
(A) nascent

(B) versatile

(C) vestigial

(D) aberrant

The rapid evolution of artificial intelligence has introduced a formidable challenge to the traditional landscape of information consumption: the "deepfake." These are hyper-realistic digital manipulations, typically involving the replacement of a person's likeness or voice with another using advanced machine learning algorithms. While the technology has creative applications in the film and gaming industries, its potential for misuse—ranging from the spread of political disinformation to the destruction of personal reputations—has sounded an alarm among educators and policymakers alike. The primary danger of deepfakes lies not just in their ability to deceive, but in their capacity to erode the concept of objective truth itself. This is known as the "liar's dividend." When the public becomes aware that any video or audio clip could be a sophisticated fabrication, it becomes easier for powerful figures to dismiss authentic, incriminating evidence as "fake." Consequently, the skepticism intended to protect citizens from falsehoods may inadvertently lead to a total breakdown of trust in legitimate institutional sources. To combat this, media literacy education must move beyond simple "fact-checking." Modern curricula are shifting toward "lateral reading"—the practice of leaving a suspicious site to see what other reputable sources say about it—rather than analyzing the internal features of a single video. Furthermore, students must be taught to recognize the emotional triggers that deepfakes often exploit. As digital tools become more adept at mimicking reality, the human ability to think critically and verify information through multiple independent channels remains our most essential defense.

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統計: A(0), B(0), C(1), D(1), E(0) #3911347