Detecting Deception

In an era of machine learning and artificial intelligence, there may be nowhere that is not unveiled by the light of information and data measurement.


…and in a world over-infused, hyper-saturated with relentlessly self-replicating strings of unsubstantiated text and casual assertion, there is no simple or immediate test of truth for non-trivially complex statements or perhaps also (at times) for simple statements in non-trivially complex contexts. Critical analysis, a useful tool, is hardly the measure of median information consumption, nor perhaps is it that long-term goal to which most vocational education is generally directed.

Ambiguity and semantic dissonance probably serve a useful purpose beyond the confusion and turbulence they generate, beyond their singular utility for the Machiavellian conjuring of political capital out of thin air. Invocation of emotional affect via voice or text, the flip-side of detection, is an art – often enough a dark art.

On a related topic that you may find interesting: Don’t look now: why you should be worried about machines reading your emotions.

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