Information Retrieval and Analysis of Digital Conflictogenic Zones by Social Media Data

被引:2
作者
Pilgun, Maria [1 ,3 ,4 ]
Kharlamov, Alexander A. [2 ,3 ,4 ]
机构
[1] RAS, Inst Linguist, Bolshoy Kislovsky Lane,1 P 1, Moscow 125009, RF, Russia
[2] RAS, Inst Higher Nervous Act & Neurophysiol, 5A Butlerova St, Moscow 117485, RF, Russia
[3] Moscow State Linguist Univ, Moscow 119034, RF, Russia
[4] Higher Sch Econ, Moscow 101000, RF, Russia
来源
PROCEEDINGS OF SIXTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY (ICICT 2021), VOL 2 | 2022年 / 236卷
关键词
Conflict; Social media; Neural network technologies; Psycholinguistics;
D O I
10.1007/978-981-16-2380-6_59
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper is concerned with information retrieval and analysis of digital conflictogenic zones based on social media data reflecting the users' perception of road construction in Moscow. The material for the study was data from social networks, microblogs, blogs, instant messengers, videos, forums, and reviews dedicated to the construction of the South-East, North-East, and North-West Chords in Moscow. The study involved a transdisciplinary approach, neural network text analysis, content analysis, sentiment analysis, and analysis of word associations. The study made it possible to draw conclusions about the extremely tense situation around the construction of the South-East Chord. The level of aggression and social stress is quite high and approaching a critical point, and allows predicting further escalation of the conflict in the online and offline space. The construction of the North-East Chord causes some tension among the city residents and makes it possible to predict the development of a conflict in the virtual environment. The implementation of the North-West Chord project does not bear any special risks.
引用
收藏
页码:677 / 685
页数:9
相关论文
共 9 条
[1]   Event attendance classification in social media [J].
de Lira, Vinicius Monteiro ;
Macdonald, Craig ;
Ounis, Iadh ;
Perego, Raffaele ;
Renso, Chiara ;
Times, Valeria Cesario .
INFORMATION PROCESSING & MANAGEMENT, 2019, 56 (03) :687-703
[2]  
Deutschmann Emanuel, 2020, Computational Conflict Research
[3]  
Fink G., 2016, Stress: Concepts, cognition, emotion, and behavior: Handbook of stress series, V1
[4]  
Johnson S., 2018, Well-being: Productivity and happiness at work, V2nd
[5]  
Kharlamov AA, NEUROINFORMATICS SEM
[6]   Latent human traits in the language of social media: An open-vocabulary approach [J].
Kulkarni, Vivek ;
Kern, Margaret L. ;
Stillwell, David ;
Kosinski, Michel ;
Matz, Sandra ;
Ungar, Lyle ;
Skiena, Steven ;
Schwartz, H. Andrew .
PLOS ONE, 2018, 13 (11)
[7]  
Nakov PRitter A, 2019, ARXIV191201973V1CSCL
[8]  
Soloviev AN, 2019, P INT C DIAL 2019 MO
[9]  
Trienes J, 2018, P 17 DUTCH BELG INF