Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
Detecting pivotal points in social conflicts via topic modeling of twitter content. / Smoliarova, Anna S.; Bodrunova, Svetlana S.; Yakunin, Alexandr V.; Blekanov, Ivan; Maksimov, Alexey.
Internet Science - INSCI 2018 International Workshops: Conference proceedings. ред. / S. S. Bodrunova; et al. Springer Nature, 2019. стр. 61-71 (Lecture Notes in Computer Science ; Том 11551 ).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
}
TY - GEN
T1 - Detecting pivotal points in social conflicts via topic modeling of twitter content
AU - Smoliarova, Anna S.
AU - Bodrunova, Svetlana S.
AU - Yakunin, Alexandr V.
AU - Blekanov, Ivan
AU - Maksimov, Alexey
N1 - Conference code: 5th
PY - 2019
Y1 - 2019
N2 - The linkages between intensity and topicality of online discussions, on one hand, and those of offline on-street political activity, on the other hand, have recently become a subject of studies around the world. But the results of quantitative assessment of causal relations between onsite and online activities of citizens are contradictory. In our research, we use conflicts with violent trig-gers and the subsequent lines of events that include street rallies, political manifestations, and/or peaceful mourning, as well as public political talk, to trace the pivotal points in the conflict via measuring Twitter content. We show that in some cases Granger test does not work well, like in the case of Cologne mass harassment, for detecting the causality between online and onsite activities. In order to suggest a way to qualitatively assess the linkages between online and offline activities of users, we deploy topic modeling and further qualitative assessment of the changes in the topicality to link the topic saliency to the time of offline events. We detect several periods with varying topicality and link them to what was going on in the offline conflict.
AB - The linkages between intensity and topicality of online discussions, on one hand, and those of offline on-street political activity, on the other hand, have recently become a subject of studies around the world. But the results of quantitative assessment of causal relations between onsite and online activities of citizens are contradictory. In our research, we use conflicts with violent trig-gers and the subsequent lines of events that include street rallies, political manifestations, and/or peaceful mourning, as well as public political talk, to trace the pivotal points in the conflict via measuring Twitter content. We show that in some cases Granger test does not work well, like in the case of Cologne mass harassment, for detecting the causality between online and onsite activities. In order to suggest a way to qualitatively assess the linkages between online and offline activities of users, we deploy topic modeling and further qualitative assessment of the changes in the topicality to link the topic saliency to the time of offline events. We detect several periods with varying topicality and link them to what was going on in the offline conflict.
KW - Granger test
KW - Social conflicts
KW - Spillover
KW - Topic modeling
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85065339476&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-17705-8_6
DO - 10.1007/978-3-030-17705-8_6
M3 - Conference contribution
AN - SCOPUS:85065339476
SN - 9783030177041
T3 - Lecture Notes in Computer Science
SP - 61
EP - 71
BT - Internet Science - INSCI 2018 International Workshops
A2 - Bodrunova, S. S.
A2 - et al.,
PB - Springer Nature
T2 - 5th International Conference on Internet Science, INSCI 2018
Y2 - 24 October 2018 through 26 October 2018
ER -
ID: 42547895