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The extreme “pollution” of the global information space has a negative impact on the social well-being of the population for media space is a kind of social space covered by the media. It is necessary to create an effective system of legal protection and social guarantees so that any citizen can receive minimal social protection and be protected from the negative impact of the adverse ecology of the mass media. Not everyone who is experiencing intense exposure to the media is aware of its negative effects including “fatigue syndrome”. To prevent it, D. Lewis proposes the following algorithm: use all information technologies of business and everyday communication; improve the methods of studying and processing data; set the right priorities for their analysis and use [26]. All media and actors that interact with them must master information culture, for which it is necessary to train specialists in the field of media ecology who are aware of the influence of media and social technologies on people’s feelings, thoughts, values and behavior. So far, experts on media ecology do not have a sufficient theoretical basis for conducting sociological research and identifying how the media forces the audience to structure what it sees, hears and feels in a certain way. Today’s media (especially electronic) can have a violent and undesirable effect - this is not only a psychological but also a philosophical, social and cultural problem that affects both children and adults. “Information anarchy” leads not only to moderate negative consequences but in some cases to “information ecocide” - destruction of traditional information and the media. Countering the contamination of the information environment should include the following steps: development of requirements for the content creation; monitoring of the collection, storage, processing and destruction of information; development of criteria for assessing the use of information. It is necessary to introduce a single rating system for information products, which will allow users to evaluate the quality of information sources according to the following criteria: purity of information; work on creating content; source coverage; quality (completeness) of information; sources of specific data sets; social-demographic characteristics of potential users.

About the authors

F I Sharkov

Russian Presidential Academy of National Economy and Public Administration; Moscow State Institute of International Relations (MGIMO University)

Author for correspondence.
Prosp. Vernadskogo, 84, Moscow, 119571, Russia; Prosp. Vernadskogo, 76, Moscow, 119454, Russia


V V Silkin

Russian Presidential Academy of National Economy and Public Administration

Prosp. Vernadskogo, 84, Moscow, 119571, Russia


I E Abramova

Rostov State Medical University

M. Gorky St., 11/43, Rostov-on-don, 344002, Russia


N V Kirillina

Russian Presidential Academy of National Economy and Public Administration

Prosp. Vernadskogo, 84, Moscow, 119571, Russia



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Copyright (c) 2018 Sharkov F.I., Silkin V.V., Abramova I.E., Kirillina N.V.

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