Published on in Vol 2, No 2 (2016): Jul-Dec
![Estimating the Duration of Public Concern After the Fukushima Dai-ichi Nuclear Power Station Accident From the Occurrence of Radiation Exposure-Related Terms on Twitter: A Retrospective Data Analysis Estimating the Duration of Public Concern After the Fukushima Dai-ichi Nuclear Power Station Accident From the Occurrence of Radiation Exposure-Related Terms on Twitter: A Retrospective Data Analysis](https://asset.jmir.pub/assets/2775d64c38c533b0f14a5a5b46d23a98.jpeg 480w,https://asset.jmir.pub/assets/2775d64c38c533b0f14a5a5b46d23a98.jpeg 960w,https://asset.jmir.pub/assets/2775d64c38c533b0f14a5a5b46d23a98.jpeg 1920w,https://asset.jmir.pub/assets/2775d64c38c533b0f14a5a5b46d23a98.jpeg 2500w)
Journals
- Yagahara A, Hanai K, Hasegawa S, Ogasawara K. Relationships Among Tweets Related to Radiation: Visualization Using Co-Occurring Networks. JMIR Public Health and Surveillance 2018;4(1):e26 View
- Lorenzoni V, Andreozzi G, Bazzani A, Casigliani V, Pirri S, Tavoschi L, Turchetti G. How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media. International Journal of Environmental Research and Public Health 2022;19(13):7785 View