Characteristic Features of Modern Political Communication in the Online-Space

Ryabchenko, Natalia; Malysheva, Olga

doi:10.20916/1812-3228-2020-2-101-113

Cited by 4 publications

(3 citation statements)

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“…Continuous sampling of network data inevitably causes difficulty with Big Data processing. In our research, we apply an approach which means identification of the entry point, a criterion which allows us to identify a vector for retrieving data [9]. It enables targeted mining of network data, whose scope can be broadened once the processing of the first datasets is completed.…”

Section: Methodsmentioning

confidence: 99%

“…Social media, regardless of some limitations, allow instant sharing with creolized content, enhanced with the opportunity to use multiple channels to reach the broadest possible audience. Thus, sociopolitical communication in the online space is presently multimodal, fragmentary, digressive and multichannel, which reflects innovative trends in its development [3].…”

Section: Introductionmentioning

confidence: 99%

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Hashtags as structural elements of digital socio-political agenda: folksonomy analysis

Malysheva

Ryabchenko

2020

SHS Web Conf.

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The situation of the recent months, associated with constitutional transformational changes and struggle with coronavirus spread, showed that civic communications outperform the government as regards the speed, directions and the scale of discursive fields generation. The digital socio-political agenda forms new socio-cognitive patterns of civic behavior, which leads to the development of constructive or destructive socio-political practices. The government needs innovational approaches and complex methods to conduct timely predictive analysis of socio-political sentiment. It is necessary to develop computational linguistics that allows for Data Science and relational sociology methods, as well as linguo-discursive analysis to be used in order to assess the current state of the digital socio-political agenda and identify the transformational vector of social action in the offline space. The article reports the results of the study of ‘Коронавирус’ digital socio-political agenda that was conducted through the use of graph visualization method, folksonomy and linguo-discursive analysis. The empirical base for the study comprises a bulk of network data retrieved from Twitter via API. The findings of the study prove that ‘Коронавирус’ digital socio-political agenda has significantly transformed and expanded within a 5 months’ period, with COVID-19 topic receiving twice as much attention from online users.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hashtags as structural elements of digital socio-political agenda: folksonomy analysis

Malysheva

Ryabchenko

2020

SHS Web Conf.

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“…The nature, models and format of presentation and consumption of information in a networked society have radically changed and there are social platforms, group chats in messengers, comments and likes to posts, videos, GIFs, memes, tweets [3]. Networked discursive interaction in the online-space has become fragmented (clip thinking), digressive, multimodal and multilinear [4].…”

Section: Introductionmentioning

confidence: 99%

Linguistic models of social and political communication in the online-space: cognitive and pragmatic aspect

Katermina

Gnedash

2020

SHS Web Conf.

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The socio-political context of the «post-truth» era, conditioned by the digitalization of all spheres of life, transforms the network content, which forms the basis of network discourses and is the main source of information for the network society. As a result, network content is not simply determined by the categorical concepts of «fact» – «myth», but is completely transformed into the conceptual-categorical apparatus «fact» – «alternative fact», which is essentially informational speculation and leads to the development of destructive socio-political practices and distribution of fake online content. Based on a comprehensive analysis of network data (a methodology developed by the authors that combines theories and methodologies of several areas of scientific knowledge), linguistic models of social and political communication in the online-space were identified and described («Ali Juppe» in France, «Pizzagate» in the USA, «Migrantskidnappers» in India and Pakistan); the result of consumption of new linguo-pragmatic patterns («Allan Juppe – an accomplice of Islamic extremists»; «Don’t vote for Clinton, Vote for Trump» and the side pattern «Save children from pedophiles»; «Pakistani migrants pose a threat») by users of the online-space in the specified countries was investigated; the results of the models’ actions are given and the offline result of the consumption of these patterns is described. The research develops a new direction of linguistic science – network linguistics; consideration of new network models of communication (cognitive stereotypes and linguopragmatic patterns) in the online-space is the main genuine identifier of the discourse varieties formed offline that determine the further behavior (constructive and / or destructive) of the user both online and offline.

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Цифровая Социально-Политическая Повестка Дня И Ее Осмысление В Условиях Новой Медиаэкологии

Тимофеева¹,

Ryabchenko²,

Malysheva³

et al. 2022

Полис

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В первой четверти XXI в. ведущая роль традиционных СМИ (пресса, радио и ТВ) в процессе создания политической повестки дня стала постепенно оспариваться альтернативной гражданской журналистикой в интернете. Результатом данного процесса стало сущностное изменение самого конструкта “agenda setting”. Социальные медиа и онлайн-инфлюенсеры привели к появлению цифровой, уже гибридной, социально-политической повестки дня. В статье рассматриваются особенности и отличия альтернативных социальных медиа от традиционных СМИ; дается определение категории “цифровая социально-политическая повестка дня”; обосновывается роль инфлюенсеров в формировании социально-политической повестки в цифровом пространстве; раскрывается влияние цифровой социально-политической повестки на поведенческие паттерны социально-политического участия граждан в офлайн-пространстве. В статье представлена разработанная авторами теоретическая модель цифровой социально-политической повестки, представляющая собой конструкт, возникший в результате функционирования многомерной и многослойной сети. Модель цифровой социально-политической повестки описывается двумя типами измерений: “Официальный дискурс” (сетевые данные, полученные с сайтов органов власти и политических партий, а также традиционных и проправительственных СМИ) и “Сетевой дискурс” (сетевые данные, полученные из социальных сетей и формирующие сеть “Пользователи”, сеть “Сообщения”, сеть “Хештеги”, сеть “Эмоджи”). Данные измерения находятся в постоянном взаимодействии, порождая новую цифровую социально-политическую повестку дня, в которой государство уже не является безусловным лидером.

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Characteristic Features of Modern Political Communication in the Online-Space

Cited by 4 publications

References 0 publications

Hashtags as structural elements of digital socio-political agenda: folksonomy analysis

Hashtags as structural elements of digital socio-political agenda: folksonomy analysis

Linguistic models of social and political communication in the online-space: cognitive and pragmatic aspect

Цифровая Социально-Политическая Повестка Дня И Ее Осмысление В Условиях Новой Медиаэкологии

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