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Model For Revelation Of Unfriendly Information Impacts In Mass-Media Which Are Directed On Change Of Public Opinion

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  • Viktor BOCHARNIKOV

    ()
    (Consulting Group INEX-FT, 03011 Desjatinnaja str 13a, 2, Kiev, Ukraine)

  • Sergey SVESHNIKOV

    ()
    (Consulting Group INEX-FT, 03011 Desjatinnaja str 13a, 2, Kiev, Ukraine)

  • Stepan VOZNYAK

    ()
    (Consulting Group INEX-FT, 03011 Desjatinnaja str 13a, 2, Kiev, Ukraine)

  • Vladimir YUZEFOVICH

    ()
    (Consulting Group INEX-FT, 03011 Desjatinnaja str 13a, 2, Kiev, Ukraine)

Abstract

In this article we propose the mathematical model for revelation of deliberate unfriendly information impacts which are fulfilled by means of specially prepared information messages (news, reviews and others) in mass-media. The model calculates the quantitative measure for fact determination of purposeful information impact and evaluation of potential damage to interests of state (party, corporation) from impact fulfilment. The model use the following data: intensity and direction of information streams (publication frequency and themes of news), structure of important state and public problems, structure of social groups of a society, priorities of these social groups, mass-media popularity in social groups, priorities of a state policy. The model is the semantic network in which the relations between concepts we formalize by use of fuzzy measures by Sugeno. We have used this model for revelation of information impacts on public opinion of Russian-speaking national minority of Crimea (Ukraine) during 01.2002 - 02.2005 (final stage of presidential elections). The model also can has important implications for evaluation of election cleanness, for neutralization of dirty voting technologies, for facts determination of unfair competition, when corporations involve a public opinion into own competitive activity.

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Bibliographic Info

Article provided by Research Centre in Public Administration and Public Services, Bucharest, Romania in its journal Management Research and Practice.

Volume (Year): 2 (2010)
Issue (Month): 1 (March)
Pages: 21-38

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Handle: RePEc:rom:mrpase:v:2:y:2010:i:1:p:21-38

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Keywords: public opinion; information impact; fuzzy measures; mathematical model;

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  1. Koster, M. & Lindelauf, R. & Lindner, I. & Owen, G., 2008. "Mass-mobilization with noisy conditional beliefs," Mathematical Social Sciences, Elsevier, vol. 55(1), pages 55-77, January.
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