Повседневное историческое знание в пространстве интернет-коммуникации
The article addresses the question about the characteristics of everyday knowledge about the past and its features which appeared in the discussions on the online forum. To answer this question the paper explores, first, the kind of source which is provided by the chosen web forum, the type of communication which takes place there and its influence on the content of statements about the past made by users of the online forum. Second, the main part of this paperis devoted to the analysis of the online discussions’ contents and to the explication of the characteristics of popular knowledge of the past. In the conclusion, the article argues that the discussions about history include some common elements, which turn this kind of knowledge into the particular pattern of everyday knowledge.
This book examines how international organisations (IOs) have struggled to adapt to the digital age, and with social media in particular.
The global spread of new digital communication technologies has profoundly transformed the way organisations operate and interact with the outside world. This edited volume explores the impact of digital technologies, with a focus on social media, for one of the major actors in international affairs, namely IOs. To examine the peculiar dynamics characterising the IO–digital nexus, the volume relies on theoretical insights drawn from the disciplines of International Relations, Diplomatic Studies, Media, and Communication Studies, as well as from Organisation Studies. The volume maps the evolution of IOs’ "digital universe" and examines the impact of digital technologies on issues of organisational autonomy, legitimacy, and contestation. The volume’s contributions combine engaging theoretical insights with newly compiled empirical material and an eclectic set of methodological approaches (multivariate regression, network analysis, content analysis, sentiment analysis), offering a highly nuanced and textured understanding of the multifaceted, complex, and ever-evolving nature of the use of digital technologies by international organisations in their multilateral engagements.
This book will be of much interest to students of diplomacy, media, and communication studies, and international organisations.
Social media can act as environments that accumulate and concentrate protest sentiment before it brings people to the streets. The social ties that connect people online are similar to their offline ties, and their structure can affect the diffusion of both the protest-related information and the protest itself. In addition, social media can serve as core platforms or environments for articulating collective goals and identities. This article builds on previous scholarship that has developed these ideas, and extends it with an empirical analysis of the Venezuelan Twittersphere during the political unrest in that country.
Short messages, a.k.a. tweets, are the basic building blocks of online protest behavior on Twitter. Some of these tweets get virally retweeted and can achieve very broad audiences. These viral tweets are arguably of key importance for the articulation of the protest sentiment.
But what kind of a tweet tends to become viral? Is it a tweet posted by someone with a fortunate position in the social media network, or the one that stands out as particularly catchy or emotional? We formalize and test these competing hypotheses using two groups of empirically observable features characterizing either the author of a tweet or its content. The first group of features includes the average number of followers the users who posted a retweet have, the total number of followers the author of the original tweet has, whether the author or those who retweet are verified Twitter users, etc. The other group describes the content of the tweet and includes binary indicators of whether the tweet contains links to external platforms, emojis, question or exclamation marks. The dependent variable is the total number of retweets.
We analyze over 5.7 million unique tweets using modern data science approaches and methods (e.g. a LASSO-regression model, cross-validation, etc.) and find that the first-group features are much more informative for modeling the dependent variable. This finding turned out to be very robust and holds for both OLS and LASSO models. In addition, given the increasing importance that social media bots – i.e. automated accounts that are able to post retweet, among other things – have recently gained for political communication, we also performed robustness checks by removing bots from the analysis. We find that the network characteristics matter more than the content-related features under study.
The emergence on the Russian market of new forms of sales and services, like online-shopping, has formed a new sphere of communication - client/customer service to the actual and potential clients/customers by email. This area is actively developing in Russia for the last 10 years. On the basis of the analysis of the examples of e-mails, sent to the real people by the customer services of 115 different companies, the author formulates the main trends of the use of forms of address in this sphere.
The article considers a case of Lubyanka Square in Moscow which became a monument of the Soviet security agency and a place of an unresolved conflict between different groups of the Russian society. Looking into the history of the square and the genesis of its visual image, the author tries to find out the origins of the great importance of Lubyanka square in the Russian public sphere today.
In this article author talks about the difficulties on the way meets the politics of memory in contemporary Russia. The lack of consensus in society about the important historical events is a big problem, a negative impact on attempts to form a national identity. It recognizes and power itself, is not ready to formulate a more or less logical and compelling narrative at this point in time. This is fully confirmed by the example of "Yeltsin Center" in Ekaterinburg. Ambiguous attitude to the reign of Boris Yeltsin, however, does not stop the Russian government, is carrying out the practice of political legitimation, using the symbolic legacy of the 1990s.
The current research answers the question how Twitter users express their evaluation of the topical social problem (explicitly or implicitly) and what linguistic means they use being restricted by the limited length of the message. The article explores how Twitter users socialize with each other and exchange ideas on social issues of great importance, express their feelings using a number of linguistic means while being limited to a fixed number of characters and form solidarity being geographically distant from each other. The research is focused on the linguistic tools employed by Twitter users to express their personal attitudes to migration processes in Europe and the USA. The aim of the current investigation is to determine the correlation between the attitudes of English-speaking users towards migration and the way they are expressed (implicitly or explicitly). The authors attempted to define which tools contributed to implicit or explicit nature of the utterances. The research is based on the content analysis of 100 tweets of English-speaking users collected from February, 1 to July, 31 2017 and done through the program Atlas.ti. The software performs coding of textual units, counting the frequency of codes and their correlation. The choice of the period is defined by significant events in Trump’s migration policy and its consequences. The results of the research show that Twitter users tend to express critical attitudes towards migration rather than approve of it or sympathize with migrants. Criticism is more often expressed implicitly rather than explicitly. In order to disguise the attitude and feelings the English-speaking users of Twitter employed irony, questions and quotations, while imperative structures were used to declare attitudes explicitly. It is also worth mentioning that ellipsis, contractions and abbreviations were used quite frequently which is due to the word limit of tweets. Even though people have an opportunity to send messages anonymously they still tend to imply their negative attitude towards political authorities. At the same time, the lack of knowledge about extralinguistic factors and personal characteristics of users makes the process of interpretation of tweets rather challenging. The findings of the current research suggest the necessity to take into account implicit negative attitudes while carrying out the analysis of public opinion on Twitter.