Stereotyped Visual Symbols as a Mean of Public Consolidation in Context Of International Genocide Recognition

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Abstract

This article presents the results of the study devoted to stereotyped visual symbols as a part of the corporate identity complex of anti-genocide organizations aimed to reach an international genocide recognition as a part of their strategies. The relevance of the stud y is justified with the similarity of modern tools for visualizing the unique characteristics of organizations and centuries-old practice of opponents opposing each other, what was discovered in the investigation process. The effectiveness of the usage of stereotyped visual symbols as the means of public consolidation in combating the genocide, which is the purpose of this study, is proved. Using the method of structural and semiotic analysis, the authors studied visual symbols used as the means of broadcasting the public opinion coded into a key message within the framework of the anti-genocide organizations’ activities. The studied visual symbols were identified as the means of stereotyped influence aimed on the mass audience, which allowed us to conclude about the effectiveness of such symbols in solving problems in mass communications. During the generalization and systematization of the data obtained, the most frequently used symbols which enclose the codes of certain cultures were identified, which led us to the conclusion that such symbols are stereotypically used in the context of combating genocide and bringing the public forward the recognition of such conflicts.

About the authors

Elena Anatolievna Ivanova

Peoples’ Friendship University of Russia (RUDN University)

Author for correspondence.
Email: ivanova_ea@rudn.university
Moscow, Russia

Sergey Vladimirovich Kulikov

Peoples’ Friendship University of Russia (RUDN University)

Email: kulikov_sv@rudn.university
Moscow, Russia

Anastasia Anatolievna Sulzhenko

Peoples’ Friendship University of Russia (RUDN University)

Email: ms.sulzhenko@gmail.com
Moscow, Russia

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Copyright (c) 2017 Ivanova E.A., Kulikov S.V., Sulzhenko A.A.

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