Web application prototype for collecting disaster-related information focusing on tweets immediately after retweeting news posts

Abstract

This study focuses on the efficient collection of disaster-related information on Twitter. In previous studies, we have proposed a method to collect tweets posted immediately after retweeting a news post about a disaster. In addition, to automatically collect disaster-related information by focusing on tweets posted immediately after retweeting the news post, we have proposed a keyword-based method to distinguish whether the tweets are related to the disaster. This paper reports a web application prototype, which collects tweets related to news posts on Twitter, with the aim of developing a web application, which will enable content providers, local government staff, and general users to collect disaster-related tweets with ease.