Analysis of environmental problems based on social media data (on the example of atmospheric air quality)
The article discusses the state and the prospects of two new methods to study the environmental issues: Internet ecology (iEcology) and conservation culturomics. Both approaches are very similar; both of them are based on the big data analysis, which is not directly meant to study and solve environm...
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_08010.pdf |
| _version_ | 1797345215027085312 |
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| author | Shchekotin Evgeniy |
| author_facet | Shchekotin Evgeniy |
| author_sort | Shchekotin Evgeniy |
| collection | DOAJ |
| description | The article discusses the state and the prospects of two new methods to study the environmental issues: Internet ecology (iEcology) and conservation culturomics. Both approaches are very similar; both of them are based on the big data analysis, which is not directly meant to study and solve environmental issues (publications in social networks, Internet search, photos and videos posted on Internet platforms, etc.). The authors offer the methodology to study environmental issues (as exemplified by the quality of the atmospheric air) based on the data from the VK social network and machine learning algorithms. For the content analysis we used PolyAnalyst software. The results of the analysis of publications on the atmospheric air quality in the Magnitogorsk city for 2020-2022 are presented. We identified 433 messages characterizing the air condition in Magnitogorsk. Our research demonstrates that the ecological methods of conservation culturomics can contribute to the analysis of the environmental situation. Our results let us state that the issue of the atmospheric air quality is very important for the residents of Magnitogorsk. The social network data can be used as an additional source of information for the subjective assessment of the atmospheric air quality.words. |
| first_indexed | 2024-03-08T11:14:11Z |
| format | Article |
| id | doaj.art-44fb8b87d61f4a0e9bab57d956316749 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T11:14:11Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-44fb8b87d61f4a0e9bab57d9563167492024-01-26T10:36:36ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014580801010.1051/e3sconf/202345808010e3sconf_emmft2023_08010Analysis of environmental problems based on social media data (on the example of atmospheric air quality)Shchekotin Evgeniy0Siberian State University of Telecommunications and Information scienceThe article discusses the state and the prospects of two new methods to study the environmental issues: Internet ecology (iEcology) and conservation culturomics. Both approaches are very similar; both of them are based on the big data analysis, which is not directly meant to study and solve environmental issues (publications in social networks, Internet search, photos and videos posted on Internet platforms, etc.). The authors offer the methodology to study environmental issues (as exemplified by the quality of the atmospheric air) based on the data from the VK social network and machine learning algorithms. For the content analysis we used PolyAnalyst software. The results of the analysis of publications on the atmospheric air quality in the Magnitogorsk city for 2020-2022 are presented. We identified 433 messages characterizing the air condition in Magnitogorsk. Our research demonstrates that the ecological methods of conservation culturomics can contribute to the analysis of the environmental situation. Our results let us state that the issue of the atmospheric air quality is very important for the residents of Magnitogorsk. The social network data can be used as an additional source of information for the subjective assessment of the atmospheric air quality.words.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_08010.pdf |
| spellingShingle | Shchekotin Evgeniy Analysis of environmental problems based on social media data (on the example of atmospheric air quality) E3S Web of Conferences |
| title | Analysis of environmental problems based on social media data (on the example of atmospheric air quality) |
| title_full | Analysis of environmental problems based on social media data (on the example of atmospheric air quality) |
| title_fullStr | Analysis of environmental problems based on social media data (on the example of atmospheric air quality) |
| title_full_unstemmed | Analysis of environmental problems based on social media data (on the example of atmospheric air quality) |
| title_short | Analysis of environmental problems based on social media data (on the example of atmospheric air quality) |
| title_sort | analysis of environmental problems based on social media data on the example of atmospheric air quality |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_08010.pdf |
| work_keys_str_mv | AT shchekotinevgeniy analysisofenvironmentalproblemsbasedonsocialmediadataontheexampleofatmosphericairquality |