Time Trend Analysis of “#Rescue” Tweets During and After The 2017 Northern Kyushu Heavy Rain Disaster

Nishikawa, Shuji; Tanaka, Nozomi; Utsu, Keisuke; Uchida, Osamu

doi:10.1109/ict-dm.2018.8636377

Cited by 15 publications

(15 citation statements)

References 1 publication

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“…For example, such hashtags used on Twitter include #qldfloods (2011 Queensland Flood) [11], #ChennaiRainsHelp (2015 Chennai Rain), and #PorteOuverte (2015 Paris Attacks) [63]. Also, the #Rescue hashtag has also been used on Twitter Japan in the 2011 Great East Japan Earthquake, the 2017 Northern Kyushu Heavy Rain, and the 2018 Japan Floods [24,68,69]. In fact, the hashtag developed a fairly complete set of rules for help requests.…”

Section: Microblogging For Help-seeking During Crisesmentioning

confidence: 99%

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How to Save Lives with Microblogs? Lessons From the Usage of Weibo for Requests for Medical Assistance During COVID-19

Yang

Mok

et al. 2022

CHI Conference on Human Factors in Computing Systems

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During recent crises like COVID-19, microblogging platforms have become popular channels for affected people seeking assistance such as medical supplies and rescue operations from emergency responders and the public. Despite this common practice, the affordances of microblogging services for help-seeking during crises that needs immediate attention are not well understood. To fill this gap, we analyzed 8K posts from COVID-19 patients or caregivers requesting urgent medical assistance on Weibo, the largest microblogging site in China. Our mixed-methods analyses suggest that existing microblogging functions need to be improved in multiple aspects to sufficiently facilitate help-seeking in emergencies, including capabilities of search and tracking requests, ease of use, and privacy protection. We also find that people tend to stick to certain well-established functions for publishing requests, even after better alternatives emerge. These findings have implications for designing microblogging tools to better support help requesting and responding during crises. CCS CONCEPTS• Human-centered computing → Empirical studies in collaborative and social computing.

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Section: Microblogging For Help-seeking During Crisesmentioning

confidence: 99%

“…It was reported that over 3,000 requests on Weibo were submitted to the local government, and at least 318 people obtained assistance [57]. Similarly, other microblogging platforms, such as Twitter and Facebook, have also been used for help-seeking in various crises around the world [1,24,44,68,69,85].…”

Section: Introductionmentioning

confidence: 99%

How to Save Lives with Microblogs? Lessons From the Usage of Weibo for Requests for Medical Assistance During COVID-19

Yang

Mok

et al. 2022

CHI Conference on Human Factors in Computing Systems

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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%

“…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%

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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“…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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Time Trend Analysis of “#Rescue” Tweets During and After The 2017 Northern Kyushu Heavy Rain Disaster

Cited by 15 publications

References 1 publication

How to Save Lives with Microblogs? Lessons From the Usage of Weibo for Requests for Medical Assistance During COVID-19

How to Save Lives with Microblogs? Lessons From the Usage of Weibo for Requests for Medical Assistance During COVID-19

Twitter-Based Safety Confirmation System for Disaster Situations

Town-Watching Workshop Using Disaster Information Tweeting and Mapping System

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