Cargando…
Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis
BACKGROUND: The Great East Japan Earthquake on March 11, 2011, triggered a huge tsunami, causing the Fukushima Daiichi nuclear disaster. Radioactive substances were carried in all directions, along with the risks of radioactive contamination. Mass media companies, such as television stations and new...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315241/ https://www.ncbi.nlm.nih.gov/pubmed/30563815 http://dx.doi.org/10.2196/publichealth.7496 |
_version_ | 1783384247955881984 |
---|---|
author | Aoki, Tomohiro Suzuki, Teppei Yagahara, Ayako Hasegawa, Shin Tsuji, Shintaro Ogasawara, Katsuhiko |
author_facet | Aoki, Tomohiro Suzuki, Teppei Yagahara, Ayako Hasegawa, Shin Tsuji, Shintaro Ogasawara, Katsuhiko |
author_sort | Aoki, Tomohiro |
collection | PubMed |
description | BACKGROUND: The Great East Japan Earthquake on March 11, 2011, triggered a huge tsunami, causing the Fukushima Daiichi nuclear disaster. Radioactive substances were carried in all directions, along with the risks of radioactive contamination. Mass media companies, such as television stations and news websites, extensively reported on radiological information related to the disaster. Upon digesting the available radiological information, many citizens turned to social media, such as Twitter and Facebook, to express their opinions and feelings. Thus, the Fukushima Daiichi nuclear disaster also changed the social media landscape in Japan. However, few studies have explored how the people in Japan who received information on radiation propagated the information. OBJECTIVE: This study aimed to reveal how the number of tweets by citizens containing radiological information changed regionally on Twitter. METHODS: The research used about 19 million tweets that included the terms “radiation,” “radioactivity,” and “radioactive substance” posted for 1 year after the Fukushima Daiichi nuclear disaster. Nearly 45,000 tweets were extracted based on their inclusion of geographic information (latitude and longitude). The number of monthly tweets in 4 districts (Fukushima Prefecture, prefectures around Fukushima Prefecture, within the Tokyo Electric Power Company area, and others) were analyzed. RESULTS: The number of tweets containing the keywords per 100,000 people at the time of the casualty outbreak was 7.05 per month in Fukushima Prefecture, 2.07 per month in prefectures around Fukushima Prefecture, 5.23 per month in the area within Tokyo Electric Power Company, and 1.35 per month in others. The number of tweets per 100,000 people more than doubled in Fukushima Prefecture 2 months after the Fukushima Daiichi nuclear disaster, whereas the number decreased to around 0.7~0.8 tweets in other districts. CONCLUSIONS: The number of tweets per 100,000 people became half of that on March 2011 3 or 4 months after the Fukushima Daiichi Nuclear Plant disaster in 3 districts except district 1 (Fukushima Prefecture); the number became a half in Fukushima Prefecture half a year later. |
format | Online Article Text |
id | pubmed-6315241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-63152412019-01-28 Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis Aoki, Tomohiro Suzuki, Teppei Yagahara, Ayako Hasegawa, Shin Tsuji, Shintaro Ogasawara, Katsuhiko JMIR Public Health Surveill Original Paper BACKGROUND: The Great East Japan Earthquake on March 11, 2011, triggered a huge tsunami, causing the Fukushima Daiichi nuclear disaster. Radioactive substances were carried in all directions, along with the risks of radioactive contamination. Mass media companies, such as television stations and news websites, extensively reported on radiological information related to the disaster. Upon digesting the available radiological information, many citizens turned to social media, such as Twitter and Facebook, to express their opinions and feelings. Thus, the Fukushima Daiichi nuclear disaster also changed the social media landscape in Japan. However, few studies have explored how the people in Japan who received information on radiation propagated the information. OBJECTIVE: This study aimed to reveal how the number of tweets by citizens containing radiological information changed regionally on Twitter. METHODS: The research used about 19 million tweets that included the terms “radiation,” “radioactivity,” and “radioactive substance” posted for 1 year after the Fukushima Daiichi nuclear disaster. Nearly 45,000 tweets were extracted based on their inclusion of geographic information (latitude and longitude). The number of monthly tweets in 4 districts (Fukushima Prefecture, prefectures around Fukushima Prefecture, within the Tokyo Electric Power Company area, and others) were analyzed. RESULTS: The number of tweets containing the keywords per 100,000 people at the time of the casualty outbreak was 7.05 per month in Fukushima Prefecture, 2.07 per month in prefectures around Fukushima Prefecture, 5.23 per month in the area within Tokyo Electric Power Company, and 1.35 per month in others. The number of tweets per 100,000 people more than doubled in Fukushima Prefecture 2 months after the Fukushima Daiichi nuclear disaster, whereas the number decreased to around 0.7~0.8 tweets in other districts. CONCLUSIONS: The number of tweets per 100,000 people became half of that on March 2011 3 or 4 months after the Fukushima Daiichi Nuclear Plant disaster in 3 districts except district 1 (Fukushima Prefecture); the number became a half in Fukushima Prefecture half a year later. JMIR Publications 2018-12-18 /pmc/articles/PMC6315241/ /pubmed/30563815 http://dx.doi.org/10.2196/publichealth.7496 Text en ©Tomohiro Aoki, Teppei Suzuki, Ayako Yagahara, Shin Hasegawa, Shintaro Tsuji, Katsuhiko Ogasawara. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 18.12.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Aoki, Tomohiro Suzuki, Teppei Yagahara, Ayako Hasegawa, Shin Tsuji, Shintaro Ogasawara, Katsuhiko Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis |
title | Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis |
title_full | Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis |
title_fullStr | Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis |
title_full_unstemmed | Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis |
title_short | Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis |
title_sort | analysis of the regionality of the number of tweets related to the 2011 fukushima nuclear power station disaster: content analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315241/ https://www.ncbi.nlm.nih.gov/pubmed/30563815 http://dx.doi.org/10.2196/publichealth.7496 |
work_keys_str_mv | AT aokitomohiro analysisoftheregionalityofthenumberoftweetsrelatedtothe2011fukushimanuclearpowerstationdisastercontentanalysis AT suzukiteppei analysisoftheregionalityofthenumberoftweetsrelatedtothe2011fukushimanuclearpowerstationdisastercontentanalysis AT yagaharaayako analysisoftheregionalityofthenumberoftweetsrelatedtothe2011fukushimanuclearpowerstationdisastercontentanalysis AT hasegawashin analysisoftheregionalityofthenumberoftweetsrelatedtothe2011fukushimanuclearpowerstationdisastercontentanalysis AT tsujishintaro analysisoftheregionalityofthenumberoftweetsrelatedtothe2011fukushimanuclearpowerstationdisastercontentanalysis AT ogasawarakatsuhiko analysisoftheregionalityofthenumberoftweetsrelatedtothe2011fukushimanuclearpowerstationdisastercontentanalysis |