TY - JOUR AU - Nishimoto, Naoki AU - Ota, Mizuki AU - Yagahara, Ayako AU - Ogasawara, Katsuhiko PY - 2016 DA - 2016/11/25 TI -从Twitter上辐射暴露相关术语的发生估算福岛第一核电站事故后公众关注的持续时间:回顾性数据分析JO - JMIR公共卫生监测SP - e168 VL - 2 IS - 2 KW - Twitter KW -社交媒体KW -公众关注KW -核电厂KW -生存分析KW - Kaplan-Meier估算KW -信息病学KW -辐射AB -背景:2011年3月11日日本福岛第一核电站事故发生后，社交媒体上出现了大量正面和负面的评论。目的:本研究的目的是阐明推特上发布的推文数量的趋势特征，并估计公众对事故的关注持续了多长时间。我们调查了与辐射暴露相关的第一项发生的衰减期，作为关注持续时间的替代终点。方法:我们从2011年3月11日至2012年3月10日的Twitter数据中检索了18891284条推文，包含143个日文变量。我们选取辐射、放射性、西弗特(Sv)、贝克勒尔(Bq)、灰色(Gy)作为关键词，估算公众对辐射暴露的关注衰减期。这些数据被格式化为逗号分隔的值，转移到统计分析系统(SAS)数据集中进行分析，并使用SAS LIFETEST程序遵循生存分析方法。本研究由北海道大学机构审查委员会批准，并放弃知情同意。结果:使用Kaplan-Meier曲线来显示事故发生后Twitter用户发布包含一个或多个关键词的消息的比例。“Sv”一词出现在第一条推文一年后的推文中。 Among the Twitter users studied, 75.32% (880,108/1,168,542) tweeted the word radioactive and 9.20% (107,522/1,168,542) tweeted the term Sv. The first reduction was observed within the first 7 days after March 11, 2011. The means and standard errors (SEs) of the duration from the first tweet on March 11, 2011 were 31.9 days (SE 0.096) for radioactive and 300.6 days (SE 0.181) for Sv. These keywords were still being used at the end of the study period. The mean attenuation period for radioactive was one month, and approximately one year for radiation and radiation units. The difference in mean duration between the keywords was attributed to the effect of mass media. Regularly posted messages, such as daily radiation dose reports, were relatively easy to detect from their time and formatted contents. The survival estimation indicated that public concern about the nuclear power plant accident remained after one year. Conclusions: Although the simple plot of the number of tweets did not show clear results, we estimated the mean attenuation period as approximately one month for the keyword radioactive, and found that the keywords were still being used in posts at the end of the study period. Further research is required to quantify the effect of other phrases in social media data. The results of this exploratory study should advance progress in influencing and quantifying the communication of risk. SN - 2369-2960 UR - http://publichealth.www.mybigtv.com/2016/2/e168/ UR - https://doi.org/10.2196/publichealth.5384 UR - http://www.ncbi.nlm.nih.gov/pubmed/27888168 DO - 10.2196/publichealth.5384 ID - info:doi/10.2196/publichealth.5384 ER -