Linguistic accommodation is a recognised indicator of social power and social distance. However, different individuals will vary their language to different degrees, and only a portion of this variance will be due to accommodation. This paper presents the Zelig Quotient, a method of normalising linguistic variation towards a particular individual, using an author's other communications as a baseline, thence to derive a method for identifying accommodation-induced variation with statistical significance. This work provides a platform for future efforts towards examining the importance of such phenomena in large communications datasets.
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