Analysis of Rescue Request Tweets in the 2018 Japan Floods

Nishikawa, Shuji; Uchida, Osamu; Utsu, Keisuke

doi:10.1145/3355402.3355408

Cited by 18 publications

(14 citation statements)

References 9 publications

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“…As mentioned in Section 1, tweets with rescue request hashtags such as #救助 (#Rescue) and #救助要請 (meaning #Rescue_request) were posted in the recent major flood events. The use of such hashtags in tweets posted during the 2017 Northern Kyushu Flood has been analyzed in multiple studies [20][21][22]. Sato indicated that not many tweets with such hashtags included detailed information on the location of the victims, the current state of damage and injuries, or the number of injured victims, which are necessary to achieve rescue.…”

Section: Rescue Request Tweets Posted During Large-scale Disasters Inmentioning

confidence: 99%

“…In fact, only a few rescues were accomplished based on the rescue request tweets [21]. On the other hand, Nishikawa et al collected and analyzed the tweets with rescue request hashtags posted during the 2018 Japan floods [22]. The result indicated that the tweets requesting rescues included area names, landmark names, or street numbers, which could prove to be useful when specifying the place where the rescue was needed.…”

Section: Rescue Request Tweets Posted During Large-scale Disasters Inmentioning

confidence: 99%

“…During the recent major flood events, many tweets clarified the rescue needs of their posters using rescue request hashtags such as #救助 (#Rescue) and #救助要請 (meaning #Rescue_request). The effectiveness of tweets with these hashtags has been discussed [20][21][22]. To accomplish rescue activities based on the rescue request tweets in future disasters, we require a system that can effectively share such rescue requests as well as safety information.…”

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confidence: 99%

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Twitter-Based Safety Confirmation System for Disaster Situations

et al. 2020

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In the aftermath of disastrous events in Japan, safety information and rescue requests, as well as emergency alerts and damage situations, have been shared on Twitter. However, even victims who are familiar with smartphones or similar devices and social media cannot easily share detailed information, such as the coordinates or address of their current location, which are essential components of safety information and rescue requests. Moreover, local governments and rescue experts have difficulty in gathering such tweets from Twitter. In this paper, we propose a novel system to enable the victims to share their safety information, make rescue requests, and enable quick information gathering for decision making by local government staff or rescue experts. The proposed system is a Twitter-based safety confirmation system named T-@npi. Using the proposed application, the users can easily submit their safety information and send rescue requests on Twitter. The users who want to confirm the safety information can check it quickly on Twitter or via this system. Furthermore, the registered safety information is displayed on an online map to support rescue and assistance activities by local governments and rescue experts.

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Section: Rescue Request Tweets Posted During Large-scale Disasters Inmentioning

confidence: 99%

Section: Rescue Request Tweets Posted During Large-scale Disasters Inmentioning

confidence: 99%

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confidence: 99%

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Twitter-Based Safety Confirmation System for Disaster Situations

et al. 2020

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“…It is well known that numerous tweets are posted when disasters occur [5] because information and communication technology can enhance the speed of knowledge sharing by lowering temporal and spatial barriers between users [6]. However, since almost all such information is initially unconfirmed, it cannot be used immediately.…”

Section: Introductionmentioning

confidence: 99%

Integrated Question-Answering System for Natural Disaster Domains Based on Social Media Messages Posted at the Time of Disaster

Kemavuthanon

Uchida

2020

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Natural disasters are events that humans cannot control, and Japan has suffered from many such disasters over its long history. Many of these have caused severe damage to human lives and property. These days, numerous Japanese people have gained considerable experience preparing for disasters and are now striving to predict the effects of disasters using social network services (SNSs) to exchange information in real time. Currently, Twitter is the most popular and powerful SNS tool used for disaster response in Japan because it allows users to exchange and disseminate information quickly. However, since almost all of the Japanese-related content is also written in the Japanese language, which restricts most of its benefits to Japanese people, we feel that it is necessary to create a disaster response system that would help people who do not understand Japanese. Accordingly, this paper presents the framework of a question-answering (QA) system that was developed using a Twitter dataset containing more than nine million tweets compiled during the Osaka North Earthquake that occurred on 18 June 2018. We also studied the structure of the questions posed and developed methods for classifying them into particular categories in order to find answers from the dataset using an ontology, word similarity, keyword frequency, and natural language processing. The experimental results presented herein confirm the accuracy of the answer results generated from our proposed system.

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“…In Japan, large-scale natural disasters such as earthquakes and floods frequently occur. A large number of posts (tweets), such as damage-related situations and rescue requests, have been posted on Twitter during recent disasters, including the 2016 Kumamoto Earthquake, 2017 Northern Kyushu Flood, and 2018 Japan Flood (July 2018 Heavy Rain Disaster) [13][14][15][16]. To utilize tweets for disaster response, users need to provide information about the accurate location or address and photos about the event.…”

Section: Introductionmentioning

confidence: 99%

Town-Watching Workshop Using Disaster Information Tweeting and Mapping System

et al. 2019

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Self- and mutual-help by citizens are important as well as social-help from the local governments, for disaster prevention and mitigation. Then, town watching and disaster prevention map-making workshops are held to review the town and promote self- and mutual-help by citizens. On the other hand, the use of social media for information sharing during and after disasters has been gaining attention. To facilitate information sharing in disasters, we developed a web system, Disaster Information Tweeting and Mapping System (DITS/DIMS). From the above background, we organized a town-watching workshop using DITS/DIMS in October 2018 in Minami Ward, Sapporo City, Hokkaido, Japan; affected area of the Hokkaido Eastern Iburi Earthquake in September 2018. In this paper, we explain the workshop procedure, outcome, questionnaire survey results, and post-meeting. The questionnaire survey result shows that the workshop educated the participants about posting useful information on social media during a disaster. In addition, at the post-meeting, the participants recognized that they had reviewed the town only from the perspective of “daily life” convenience before the earthquake, and they had not evaluated the “emergency viewpoint.” Therefore, the workshop was a meaningful opportunity for the participants to review the town in terms of disaster prevention and mitigation.

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Analysis of Rescue Request Tweets in the 2018 Japan Floods

Cited by 18 publications

References 9 publications

Twitter-Based Safety Confirmation System for Disaster Situations

Twitter-Based Safety Confirmation System for Disaster Situations

Integrated Question-Answering System for Natural Disaster Domains Based on Social Media Messages Posted at the Time of Disaster

Town-Watching Workshop Using Disaster Information Tweeting and Mapping System

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