Proceedings of the 20th International Conference on Information Systems for Crisis Response and Management最新文献

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Humor-Based COVID-19 Twitter Accounts 基于幽默的COVID-19推特账户
Apoorva Chauhan
{"title":"Humor-Based COVID-19 Twitter Accounts","authors":"Apoorva Chauhan","doi":"10.59297/yhdi4576","DOIUrl":"https://doi.org/10.59297/yhdi4576","url":null,"abstract":"Crisis Named Resources (or CNRs) are social media pages and accounts named after a crisis event. Using the COVID-19 Pandemic as a case study, we identified and examined the role of CNRs that shared humor on Twitter. Our analyses showed that humor-based CNRs shared virus-related rumors, stigma, safety measures, opinions, sarcasm, and news updates. These resources also shared the overall anger and frustration over the year 2020. We conclude by discussing the critical role of humor based CNRs in crisis response.","PeriodicalId":254795,"journal":{"name":"Proceedings of the 20th International Conference on Information Systems for Crisis Response and Management","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126565259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Increasing Diver Safety for Heavy Underwater Works by Sonar-to-Video Image Translation 声纳-视频图像转换提高重型水下作业潜水员安全
{"title":"Increasing Diver Safety for Heavy Underwater Works by Sonar-to-Video Image Translation","authors":"","doi":"10.59297/knwq3005","DOIUrl":"https://doi.org/10.59297/knwq3005","url":null,"abstract":"","PeriodicalId":254795,"journal":{"name":"Proceedings of the 20th International Conference on Information Systems for Crisis Response and Management","volume":"712 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125029129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Acceptance Study on Application Systems to Improve Situational Incident Management through Bi-directional Communication between Citizens and Decision-makers in Emergencies and Crises Situations 突发事件与危机情境下公民与决策者双向沟通提升情景事件管理应用系统的接受度研究
{"title":"Acceptance Study on Application Systems to Improve Situational Incident Management through Bi-directional Communication between Citizens and Decision-makers in Emergencies and Crises Situations","authors":"","doi":"10.59297/zlxu9879","DOIUrl":"https://doi.org/10.59297/zlxu9879","url":null,"abstract":"","PeriodicalId":254795,"journal":{"name":"Proceedings of the 20th International Conference on Information Systems for Crisis Response and Management","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126173480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards XAI for Information Extraction on Online Media Data for Disaster Risk Management 面向灾害风险管理的网络媒体数据信息抽取研究
{"title":"Towards XAI for Information Extraction on Online Media Data for Disaster Risk Management","authors":"","doi":"10.59297/bhae3912","DOIUrl":"https://doi.org/10.59297/bhae3912","url":null,"abstract":"","PeriodicalId":254795,"journal":{"name":"Proceedings of the 20th International Conference on Information Systems for Crisis Response and Management","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115067787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
KENNEL Threat Detection Boxes for First Responder Situational Awareness and Risk Management 用于第一响应者态势感知和风险管理的KENNEL威胁检测箱
{"title":"KENNEL Threat Detection Boxes for First Responder Situational Awareness and Risk Management","authors":"","doi":"10.59297/pcyp5515","DOIUrl":"https://doi.org/10.59297/pcyp5515","url":null,"abstract":"","PeriodicalId":254795,"journal":{"name":"Proceedings of the 20th International Conference on Information Systems for Crisis Response and Management","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121751843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Localization of Events Using Neural Networks in Twitter Data 推特数据中使用神经网络的事件定位
Usman Anjum, V. Zadorozhny, P. Krishnamurthy
{"title":"Localization of Events Using Neural Networks in Twitter Data","authors":"Usman Anjum, V. Zadorozhny, P. Krishnamurthy","doi":"10.59297/uvzv1884","DOIUrl":"https://doi.org/10.59297/uvzv1884","url":null,"abstract":"Twitter (one example of microblogging) is widely being used by researchers to understand human behavior, specifically how people behave when a significant event occurs and how it changes user microblogging patterns. The changing microblogging behavior can reveal patterns that can help in detecting real-world events. However, the Twitter data that is available has limitations, such as, it is incomplete and noisy and the samples are irregular. In this paper we create a model, called Twitter Behavior Agent-Based Model (TBAM) to simulate Twitter pattern and behavior using Agent-Based Modeling (ABM). The generated data from ABM simulations can be used in place or to complement the real-world data toward improving the accuracy of event detection. We confirm the validity of our model by finding the cross-correlation between the real data collected from Twitter and the data generated using TBAM.","PeriodicalId":254795,"journal":{"name":"Proceedings of the 20th International Conference on Information Systems for Crisis Response and Management","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132134046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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