Collective Memories, Propaganda and Authoritarian Political Support
The article considers the phenomenon of nostalgia for the late Soviet times. The author presents the results of his observations over the nostalgia segment of the Russian blogosphere. The article is based on the concepts of the past, collective memory and nostalgia, which have been worked out by M. Halbwachs, D. Lowenthal and S. Boym.
The article is devoted to the influence of the Spanish Constitution of 1812 to the constitutionalism of the Russian Empire in the first quarter of the XIX. The author demonstrates the attention of different circles of Russian society to the national liberation movement of the Spanish people against France in 1808-1814 and to the Revolution of 1820-1823 in Spain as well as the Spanish events coverage in the Russian press. Effect of inspiring of the Fundamental law of 1812, enacted in Spain also in 1820 is noticed to be an example for the Russians to pursue for their Motherland. Particular attention is given to the constitutional ideas of members of secret societies, the future of the Decembrists, the motion of which is studied in the context of the "military revolution" in Europe. The researcher analyzes the influence of the Spanish constitution of 1812 on P.Pestel, author of "Russkaya Pravda" (project of the Southern secret society) and N. Muraviev who prepared the constitutional project, which we can study in three editions.
This volume brings together twenty four articles by eminent historians from around Europe, presented in form of papers at the international conference on the Crimean War (1853-1856) held in Warsaw in 2007.
Narrative functions very greatly and are studied in a wide interdisciplinary spectrum. However, one of the functions of the narrative have not yet been studied in detail and therefore deserves a special attention. This is an alarm function: narratives can not only reconstruct past events, but they can also warn on the possible danger, predict the future events and simulate the reactions of recipients. In theoretical narratology, this function is perceived with caution: narrative is usually considered as a form referring to the past. At the same time, the applied research shows that narratives could be actively involved in the practices of predicting the future. This mechanism is largely based on the collective memory. The article deals on the problem of narrative representation of risk and its relation to collective memory.
This book is the essential guide for understanding how state power and politics are contested and exercised on social media. It brings together contributions by social media scholars who explore the connection of social media with revolutions, uprising, protests, power and counter-power, hacktivism, the state, policing and surveillance. It shows how collective action and state power are related and conflict as two dialectical sides of social media power, and how power and counter-power are distributed in this dialectic. Theoretically focused and empirically rigorous research considers the two-sided contradictory nature of power in relation to social media and politics. Chapters cover social media in the context of phenomena such as contemporary revolutions in Egypt and other countries, populism 2.0, anti-austerity protests, the fascist movement in Greece's crisis, Anonymous and police surveillance.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.