Abstract

This article argues that errors in audio data processing should be examined to explore and expose the underlying components that enable linguistic communication and cross-cultural understanding. Examples of errors in the transcription of a Mexican social network’s conversations are analyzed to demonstrate the potential of such data in the development of sociocognitive language-processing theories. It is suggested that researchers working with audio-recorded data should expand the scope of what is considered useful data for the sake of both methodological reflexivity and identifying the underlying cognitive processes enabling linguistic understanding.