The paper discusses results of the experiment on automatic extraction of associative relations from the corpus of Russian texts from Facebook social network. Experiments were carried out with the help of algorithms and tools of Distributional Semantics. We extracted associations for lexemes expressing key concepts of Russian-specific world view. The procedure was performed by means of Word2Vec (CBOW and Skip-gram) neural network architectures. We carried out linguistic analysis of the output data and compared it with the associations described in the Russian Associative Dictionary and the Russian Distributional Thesaurus. Results achieved in course of experiments allow to make conclusions on the dynamic of Russian-specific language consciousness of contemporary social network users.