Assessment of quality of life in regions of Russia based on social media data
The article offers a new method of quality of life assessment based on online activities of social networks users. The method has obvious advantages (quickness of research, low costs, large scale, and detailed character of the obtained information) and limitations (it covers only the “digital popula...
Saved in:
Main Authors: | , , , |
---|---|
Format: | article |
Language: | EN |
Published: |
SAGE Publishing
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/c0b2875b1cf344d7856f8e6a4a25ced4 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
oai:doaj.org-article:c0b2875b1cf344d7856f8e6a4a25ced4 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:c0b2875b1cf344d7856f8e6a4a25ced42021-11-09T22:33:36ZAssessment of quality of life in regions of Russia based on social media data1879-36651879-367310.1177/18793665211034185https://doaj.org/article/c0b2875b1cf344d7856f8e6a4a25ced42021-07-01T00:00:00Zhttps://doi.org/10.1177/18793665211034185https://doaj.org/toc/1879-3665https://doaj.org/toc/1879-3673The article offers a new method of quality of life assessment based on online activities of social networks users. The method has obvious advantages (quickness of research, low costs, large scale, and detailed character of the obtained information) and limitations (it covers only the “digital population,” whereas the rural population is not included). The article dwells on the potential of social networks as a data source to analyze the quality of life; it also presents the results of an empirical study of online activities of the users of VK, the most popular Russian social network. Using the obtained data, the authors have calculated the quality of life index for 83 regions of the Russian Federation based on 19 parameters of economic, social, and political aspects of life quality.Evgeniy ShchekotinViacheslav GoikoMikhail MyagkovDarya DunaevaSAGE PublishingarticleGeography (General)G1-922Political scienceJENJournal of Eurasian Studies, Vol 12 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Geography (General) G1-922 Political science J |
spellingShingle |
Geography (General) G1-922 Political science J Evgeniy Shchekotin Viacheslav Goiko Mikhail Myagkov Darya Dunaeva Assessment of quality of life in regions of Russia based on social media data |
description |
The article offers a new method of quality of life assessment based on online activities of social networks users. The method has obvious advantages (quickness of research, low costs, large scale, and detailed character of the obtained information) and limitations (it covers only the “digital population,” whereas the rural population is not included). The article dwells on the potential of social networks as a data source to analyze the quality of life; it also presents the results of an empirical study of online activities of the users of VK, the most popular Russian social network. Using the obtained data, the authors have calculated the quality of life index for 83 regions of the Russian Federation based on 19 parameters of economic, social, and political aspects of life quality. |
format |
article |
author |
Evgeniy Shchekotin Viacheslav Goiko Mikhail Myagkov Darya Dunaeva |
author_facet |
Evgeniy Shchekotin Viacheslav Goiko Mikhail Myagkov Darya Dunaeva |
author_sort |
Evgeniy Shchekotin |
title |
Assessment of quality of life in regions of Russia based on social media data |
title_short |
Assessment of quality of life in regions of Russia based on social media data |
title_full |
Assessment of quality of life in regions of Russia based on social media data |
title_fullStr |
Assessment of quality of life in regions of Russia based on social media data |
title_full_unstemmed |
Assessment of quality of life in regions of Russia based on social media data |
title_sort |
assessment of quality of life in regions of russia based on social media data |
publisher |
SAGE Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/c0b2875b1cf344d7856f8e6a4a25ced4 |
work_keys_str_mv |
AT evgeniyshchekotin assessmentofqualityoflifeinregionsofrussiabasedonsocialmediadata AT viacheslavgoiko assessmentofqualityoflifeinregionsofrussiabasedonsocialmediadata AT mikhailmyagkov assessmentofqualityoflifeinregionsofrussiabasedonsocialmediadata AT daryadunaeva assessmentofqualityoflifeinregionsofrussiabasedonsocialmediadata |
_version_ |
1718440783072198656 |