Due to the high level of tension in modern society, social networks are widely used for destructive management of the information space. This aspect of the use of social networks has become particularly important in the light of events taking place in the world (Hong Kong, Syria, France and Ukraine). According to statistics, about 50% of politicized active groups of social networks are subjects to targeted control actions aimed at spreading negative moods in the political sphere. The escalation of conflicts in society generates the most dangerous type of destructive information influence (DII) that require rapid, large-scale coordination of participants in order to attract new supporters and their organizations. Massive DII on the participants of social networks groups exacerbated the problem of promptly identifying the facts of influence, and created serious prerequisites for the development and improvement of methods and means of identifying DII in social networks. The relevance of this problem is due to the existence of a number of methodological and technological problems in the subject area under consideration, one of them is the lack of patterns of network messages containing elements of DII. In the study, the authors consider an approach to designing a dictionary of patterns of destructive utterances.