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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. ed. / Daniel A. Alexandrov; Yury Kabanov; Olessia Koltsova; et al. Cham : Springer Nature, 2020. p. 165-176 (Communications in Computer and Information Science; Vol. 1038 ).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Martyanov, D, Lukyanova, G & Lagutin, O 2020, Is Cross-Network Segregation a Factor of Political Behavior and Political Identification in the Russian Student Community? in DA Alexandrov, Y Kabanov, O Koltsova & et al. (eds), Digital Transformation and Global Society : Conference proceedings DTGS 2019. Communications in Computer and Information Science, vol. 1038 , Springer Nature, Cham, pp. 165-176, 4th International Conference on Digital Transformation and Global Society, DTGS 2019, St. Petersburg, Russian Federation, 19/06/19. https://doi.org/10.1007/978-3-030-37858-5_13

APA

Martyanov, D., Lukyanova, G., & Lagutin, O. (2020). Is Cross-Network Segregation a Factor of Political Behavior and Political Identification in the Russian Student Community? In D. A. Alexandrov, Y. Kabanov, O. Koltsova, & et al. (Eds.), Digital Transformation and Global Society : Conference proceedings DTGS 2019 (pp. 165-176). (Communications in Computer and Information Science; Vol. 1038 ). Springer Nature. https://doi.org/10.1007/978-3-030-37858-5_13

Vancouver

Martyanov D, Lukyanova G, Lagutin O. Is Cross-Network Segregation a Factor of Political Behavior and Political Identification in the Russian Student Community? In Alexandrov DA, Kabanov Y, Koltsova O, et al., editors, Digital Transformation and Global Society : Conference proceedings DTGS 2019. Cham: Springer Nature. 2020. p. 165-176. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-030-37858-5_13

Author

Martyanov, Denis ; Lukyanova, Galina ; Lagutin, Oleg. / Is Cross-Network Segregation a Factor of Political Behavior and Political Identification in the Russian Student Community?. Digital Transformation and Global Society : Conference proceedings DTGS 2019. editor / Daniel A. Alexandrov ; Yury Kabanov ; Olessia Koltsova ; et al. Cham : Springer Nature, 2020. pp. 165-176 (Communications in Computer and Information Science).

BibTeX

@inproceedings{ed4c60896d2740da9fcf6a8de69746d0,
title = "Is Cross-Network Segregation a Factor of Political Behavior and Political Identification in the Russian Student Community?",
abstract = "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.",
keywords = "Cross-network segregation, Cyberspace fragmentation, Political behavior, Political identity, Social networks, Political identity, Social networks, Cyberspace fragmentation, Cross-network segregation, Political behavior",
author = "Denis Martyanov and Galina Lukyanova and Oleg Lagutin",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 4th International Conference on Digital Transformation and Global Society, DTGS 2019 ; Conference date: 19-06-2019 Through 21-06-2019",
year = "2020",
month = jan,
day = "3",
doi = "10.1007/978-3-030-37858-5_13",
language = "English",
isbn = "9783030378578",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "165--176",
editor = "Alexandrov, {Daniel A.} and Yury Kabanov and Olessia Koltsova and {et al.}",
booktitle = "Digital Transformation and Global Society",
address = "Germany",
url = "http://dtgs-conference.org",

}

RIS

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