Politics-related online communities : Thematic landscape and (para)linguistic features. / Platonov, Konstantin; Svetlov, Kinll.
Proceedings of the 28th Conference of Open Innovations Association FRUCT, FRUCT 2021. ed. / Sergey Balandin; Vladimir Deart; Tatiana Tyutina. Institute of Electrical and Electronics Engineers Inc., 2021. p. 358-364 9347591 (Conference of Open Innovation Association, FRUCT; Vol. 2021-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Politics-related online communities
T2 - 28th Conference of Open Innovations Association FRUCT, FRUCT 2021
AU - Platonov, Konstantin
AU - Svetlov, Kinll
N1 - Funding Information: The reported study was funded by RFBR and EISR according to the research project No 20-011-31318. Publisher Copyright: © 2021 IEEE Computer Society. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1/27
Y1 - 2021/1/27
N2 - Politics-oriented online communities on social networking sites are becoming more influential in the conditions of lack of the independent media agenda. But how can the fragmented landscape of topics and ideologies represented by them be described using (para)linguistic features? In this research, we consider the sample of politics-related communities from the most popular Russian social networking site VKontakte. Additive regularization algorithm allowed us to classify the communities with similar topics and describe 9 salient clusters. It was shown how the thematic focus of the particular clusters is framed by linguistic and paralinguistic features, such as morphological specificities, tone, punctuation and so on. We propose a framework and a pipeline for the analysis of communicative strategies of communities discussing politics which could be used as a preliminary stage for the qualitative content analysis.
AB - Politics-oriented online communities on social networking sites are becoming more influential in the conditions of lack of the independent media agenda. But how can the fragmented landscape of topics and ideologies represented by them be described using (para)linguistic features? In this research, we consider the sample of politics-related communities from the most popular Russian social networking site VKontakte. Additive regularization algorithm allowed us to classify the communities with similar topics and describe 9 salient clusters. It was shown how the thematic focus of the particular clusters is framed by linguistic and paralinguistic features, such as morphological specificities, tone, punctuation and so on. We propose a framework and a pipeline for the analysis of communicative strategies of communities discussing politics which could be used as a preliminary stage for the qualitative content analysis.
UR - http://www.scopus.com/inward/record.url?scp=85101272577&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/83116074-56b8-3604-9b91-22f7da4593fa/
U2 - 10.23919/fruct50888.2021.9347591
DO - 10.23919/fruct50888.2021.9347591
M3 - Conference contribution
AN - SCOPUS:85101272577
T3 - Conference of Open Innovation Association, FRUCT
SP - 358
EP - 364
BT - Proceedings of the 28th Conference of Open Innovations Association FRUCT, FRUCT 2021
A2 - Balandin, Sergey
A2 - Deart, Vladimir
A2 - Tyutina, Tatiana
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 January 2021 through 29 January 2021
ER -
ID: 74981861