文章基本信息

标题：ソーシャルメディアにおける災害情報の伝播と感情：東日本大震災に際する事例
本地全文：下载
作者：三浦麻子 ; 鳥海不二夫 ; 小森政嗣等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2016
卷号：31
期号：1
页码：NFC-A_1-9
DOI：10.1527/tjsai.NFC-EC1
出版社：The Japanese Society for Artificial Intelligence
摘要：In this article, we investigate “retweeting in Twitter” or information transfer behavior in social media to figure out some characteristics of our information processing behavior in emergency situation from social psychological perspective. We made an exploratory log analysis of Twitter focusing on the relationship between diffusion of disaster information and user's emotional response on them. Disaster-related tweets which were retweeted over 10 times around the time of the Great East Japan Earthquake were extracted and emotional words in them were categorized and counted. Frequently retweeted tweets tended to include more negative (anxious or angry) or active emotional words than positive or inactive words. As results of multiple and quantile regression analyses, negative (especially anxious) or active emotional words in tweets had a significant effect on the increase of retweeting regardless of a kind of disasters. The results were discussed in terms of the difference with those based on common tweets.
关键词：social media;Twitter;information diffusion;emotion;disaster