WEKO3
アイテム
Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis
https://repo.qst.go.jp/records/74754
https://repo.qst.go.jp/records/747542fdebdc1-71af-427d-bb78-2c70507797d3
Item type | 学術雑誌論文 / Journal Article(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2019-03-18 | |||||
タイトル | ||||||
タイトル | Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Aoki, Tomohiro
× Aoki, Tomohiro× Suzuki, Teppei× Yagahara, Ayako× 長谷川, 慎× Tsuji, Shintaro× Ogasawara, Katsuhiko× Hasegawa, Shin |
|||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 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. |
|||||
書誌情報 |
JMIR Public Health Surveillance 巻 4, 号 4, p. e70, 発行日 2018-12 |
|||||
出版者 | ||||||
出版者 | JMIR Publications | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2369-2960 | |||||
PubMed番号 | ||||||
識別子タイプ | PMID | |||||
関連識別子 | 30563815 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.2196/publichealth.7496 | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://publichealth.jmir.org/2018/4/e70/ |