Cross-Regional Sentiment Analysis of VKontakte Communities: Typical Krasnodar vs. Typical Kemerovo
This research tested a complex analytical method based on semantic modeling of discursive fields and network analysis that can be applied to networked linguistic data. The copyright software package Monitoring and Analysis of Social Networks, Internet Communities, and Users provided automatic data p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Kemerovo State University
2022-12-01
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| Series: | Виртуальная коммуникация и социальные сети |
| Subjects: |
| _version_ | 1797215034103824384 |
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| author | Natalia A. Ryabchenko Olga P. Malysheva |
| author_facet | Natalia A. Ryabchenko Olga P. Malysheva |
| author_sort | Natalia A. Ryabchenko |
| collection | DOAJ |
| description | This research tested a complex analytical method based on semantic modeling of discursive fields and network analysis that can be applied to networked linguistic data. The copyright software package Monitoring and Analysis of Social Networks, Internet Communities, and Users provided automatic data processing to restore the semantic core of the discursive fields generated by Typical Krasnodar and Typical Kemerovo online communities in 2021–2022. The analysis was visualized as social graphs and semantic core models. It identified a number of sensitive topics that generated a lot of feedback. The method also proved efficient in predicting cultural and socio-political trends. The complex methodology provided rapid identification of amplified discursive activity, conditions for social unrest, and bifurcation points for destructive social practices. The results may contribute to effective information management and social strain relief in the regions through discursive control of online communication. |
| first_indexed | 2024-04-24T11:23:39Z |
| format | Article |
| id | doaj.art-8c6930a135f747f599e1f883a7227d33 |
| institution | Directory Open Access Journal |
| issn | 2782-4799 2782-4802 |
| language | English |
| last_indexed | 2024-04-24T11:23:39Z |
| publishDate | 2022-12-01 |
| publisher | Kemerovo State University |
| record_format | Article |
| series | Виртуальная коммуникация и социальные сети |
| spelling | doaj.art-8c6930a135f747f599e1f883a7227d332024-04-11T04:04:42ZengKemerovo State UniversityВиртуальная коммуникация и социальные сети2782-47992782-48022022-12-011421522010.21603/2782-4799-2022-1-4-215-220Cross-Regional Sentiment Analysis of VKontakte Communities: Typical Krasnodar vs. Typical KemerovoNatalia A. Ryabchenko0https://orcid.org/0000-0001-6980-2894Olga P. Malysheva1https://orcid.org/0000-0001-8285-0508Kuban State UniversityKuban State UniversityThis research tested a complex analytical method based on semantic modeling of discursive fields and network analysis that can be applied to networked linguistic data. The copyright software package Monitoring and Analysis of Social Networks, Internet Communities, and Users provided automatic data processing to restore the semantic core of the discursive fields generated by Typical Krasnodar and Typical Kemerovo online communities in 2021–2022. The analysis was visualized as social graphs and semantic core models. It identified a number of sensitive topics that generated a lot of feedback. The method also proved efficient in predicting cultural and socio-political trends. The complex methodology provided rapid identification of amplified discursive activity, conditions for social unrest, and bifurcation points for destructive social practices. The results may contribute to effective information management and social strain relief in the regions through discursive control of online communication. discursive fieldsonline communitiessemantic corenetwork linguisticssocial mediavkontaktenetwork linguistic data |
| spellingShingle | Natalia A. Ryabchenko Olga P. Malysheva Cross-Regional Sentiment Analysis of VKontakte Communities: Typical Krasnodar vs. Typical Kemerovo Виртуальная коммуникация и социальные сети discursive fields online communities semantic core network linguistics social media vkontakte network linguistic data |
| title | Cross-Regional Sentiment Analysis of VKontakte Communities: Typical Krasnodar vs. Typical Kemerovo |
| title_full | Cross-Regional Sentiment Analysis of VKontakte Communities: Typical Krasnodar vs. Typical Kemerovo |
| title_fullStr | Cross-Regional Sentiment Analysis of VKontakte Communities: Typical Krasnodar vs. Typical Kemerovo |
| title_full_unstemmed | Cross-Regional Sentiment Analysis of VKontakte Communities: Typical Krasnodar vs. Typical Kemerovo |
| title_short | Cross-Regional Sentiment Analysis of VKontakte Communities: Typical Krasnodar vs. Typical Kemerovo |
| title_sort | cross regional sentiment analysis of vkontakte communities typical krasnodar vs typical kemerovo |
| topic | discursive fields online communities semantic core network linguistics social media vkontakte network linguistic data |
| work_keys_str_mv | AT nataliaaryabchenko crossregionalsentimentanalysisofvkontaktecommunitiestypicalkrasnodarvstypicalkemerovo AT olgapmalysheva crossregionalsentimentanalysisofvkontaktecommunitiestypicalkrasnodarvstypicalkemerovo |