1. A method to adjust an automatic speech recognition (ASR) engine, comprising: receiving, by a social media gateway of a contact center, social network information from a social network; modifying, by the social media gateway of the contact center, the social network information, wherein the modifying comprises filtering the social network information and redacting the filtered social network information based on a relevancy of the social network information to the ASR engine; data mining, by a dialog engine of the contact center, the modified social network information to extract one or more characteristics; inferring, by the dialog engine of the contact center, a trend from the extracted one or more characteristics; adding, by the dialog engine of the contact center, one or more words or phrases related to the trend to a recognition grammar of the ASR engine; calculating, by the dialog engine of the contact center, a magnitude of adjustment to weights of the added one or more words or phrases in the recognition grammar of the ASR engine based upon a shaped sliding window, and adjusting, by the dialog engine of the contact center, the ASR engine by adjusting a speech recognition weighting of the ASR engine based upon the calculated magnitude of adjustment, wherein the adjustment to the speech recognition weighting of the ASR engine has a limited duration.
7. The method of claim 1 , wherein the ASR engine is adjusted in response to a specificity of the one or more characteristics.