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This study tests the degree to which the form and function of 54 newly emerging words predicts their success over time in a multi-billion word corpus of American Twitter collected between 2013 and 2016. A linear model of the change in the relative frequency of each word is computed as a function of word length, part-of-speech, word formation process, and meaning. The analysis finds that the most important predictor of the success of these words is marking a new meaning. Shorter words and words created through standard word formation processes are also found to be more successful over time. These results are interpreted as supporting the theory that natural selection is the driving force behind lexical evolution.

Natural selection in the modern english lexicon