Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
Is Cross-Network Segregation a Factor of Political Behavior and Political Identification in the Russian Student Community? / Martyanov, Denis; Lukyanova, Galina; Lagutin, Oleg.
Digital Transformation and Global Society : Conference proceedings DTGS 2019. ред. / Daniel A. Alexandrov; Yury Kabanov; Olessia Koltsova; et al. Cham : Springer Nature, 2020. стр. 165-176 (Communications in Computer and Information Science; Том 1038 ).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
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TY - GEN
T1 - Is Cross-Network Segregation a Factor of Political Behavior and Political Identification in the Russian Student Community?
AU - Martyanov, Denis
AU - Lukyanova, Galina
AU - Lagutin, Oleg
N1 - Conference code: 4
PY - 2020/1/3
Y1 - 2020/1/3
N2 - Online segregation is among the most commonly discussed phenomenon. This paper calls into question the need to focus on the dangers of echo chambers, filter bubbles; furthermore, it proposes to identify latent factors of the Internet segmentation and specify communication in homophilic communities. Thus, the current study aims to detect the mutual influence of social network choice and political behavior among Russian students. The study is based on empirical data obtained by a survey conducted in 2018 in St. Petersburg. Our research has revealed that students are a heterogeneous group. The identified four factors described as “Web-services for full-grown people,” “Mobile services,” “Closed silo of content,” “Audiovisual services” disclose hidden relationships between quite different online services and political identification of students.
AB - Online segregation is among the most commonly discussed phenomenon. This paper calls into question the need to focus on the dangers of echo chambers, filter bubbles; furthermore, it proposes to identify latent factors of the Internet segmentation and specify communication in homophilic communities. Thus, the current study aims to detect the mutual influence of social network choice and political behavior among Russian students. The study is based on empirical data obtained by a survey conducted in 2018 in St. Petersburg. Our research has revealed that students are a heterogeneous group. The identified four factors described as “Web-services for full-grown people,” “Mobile services,” “Closed silo of content,” “Audiovisual services” disclose hidden relationships between quite different online services and political identification of students.
KW - Cross-network segregation
KW - Cyberspace fragmentation
KW - Political behavior
KW - Political identity
KW - Social networks
KW - Political identity
KW - Social networks
KW - Cyberspace fragmentation
KW - Cross-network segregation
KW - Political behavior
UR - http://www.scopus.com/inward/record.url?scp=85078563621&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/96bc9473-67ad-30c6-8153-c3ba3c520002/
U2 - 10.1007/978-3-030-37858-5_13
DO - 10.1007/978-3-030-37858-5_13
M3 - Conference contribution
AN - SCOPUS:85078563621
SN - 9783030378578
T3 - Communications in Computer and Information Science
SP - 165
EP - 176
BT - Digital Transformation and Global Society
A2 - Alexandrov, Daniel A.
A2 - Kabanov, Yury
A2 - Koltsova, Olessia
A2 - et al.,
PB - Springer Nature
CY - Cham
T2 - 4th International Conference on Digital Transformation and Global Society, DTGS 2019
Y2 - 19 June 2019 through 21 June 2019
ER -
ID: 51253347