风暴警告:时间敏感邻近

Q3 Arts and Humanities Proceedings from the Document Academy Pub Date : 2021-12-15 DOI:10.35492/docam/8/2/16
Carrie A. Boettcher, Laurie J. Bonnici, Brian O'Connor
{"title":"风暴警告:时间敏感邻近","authors":"Carrie A. Boettcher, Laurie J. Bonnici, Brian O'Connor","doi":"10.35492/docam/8/2/16","DOIUrl":null,"url":null,"abstract":"Weather-predictive tasks during high risk severe weather events are carried out for the common good of the community by virtual teams of weather professionals. Severe weather predictors are responsible for producing the early warnings that inform people in harms way and potentially save lives. Should we be concerned with the use of “other-generated” information from social media used by these professionals? Teams extend understanding of an event by looking to external sources of situationally relevant information such as storm spotters, publicly generated photos and comments posted to online social media (OSM), and communication with community partners. Situationally relevant OSM, specifically Twitter, provides insight to the information behavior of the team. Here we examine the role of proximity and how it impacts decisions on potentially life-saving information sharing in time sensitive information environments: proximity within the team (shared knowledge state) and proximity to the event (hashtag) specifically are addressed.","PeriodicalId":36214,"journal":{"name":"Proceedings from the Document Academy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Storm Warnings: Time Sensitive Proximity\",\"authors\":\"Carrie A. Boettcher, Laurie J. Bonnici, Brian O'Connor\",\"doi\":\"10.35492/docam/8/2/16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Weather-predictive tasks during high risk severe weather events are carried out for the common good of the community by virtual teams of weather professionals. Severe weather predictors are responsible for producing the early warnings that inform people in harms way and potentially save lives. Should we be concerned with the use of “other-generated” information from social media used by these professionals? Teams extend understanding of an event by looking to external sources of situationally relevant information such as storm spotters, publicly generated photos and comments posted to online social media (OSM), and communication with community partners. Situationally relevant OSM, specifically Twitter, provides insight to the information behavior of the team. Here we examine the role of proximity and how it impacts decisions on potentially life-saving information sharing in time sensitive information environments: proximity within the team (shared knowledge state) and proximity to the event (hashtag) specifically are addressed.\",\"PeriodicalId\":36214,\"journal\":{\"name\":\"Proceedings from the Document Academy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings from the Document Academy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35492/docam/8/2/16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings from the Document Academy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35492/docam/8/2/16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 0

摘要

高风险恶劣天气事件期间的天气预测任务是由气象专业人员的虚拟团队为社区的共同利益而执行的。恶劣天气预报员负责产生预警,以危害的方式告知人们,并可能挽救生命。我们是否应该关注这些专业人士使用社交媒体中“其他生成”的信息?团队通过寻找与情况相关的信息的外部来源,如风暴观察员、发布在在线社交媒体(OSM)上的公开生成的照片和评论,以及与社区合作伙伴的沟通,来扩展对事件的理解。与情境相关的OSM,特别是Twitter,可以洞察团队的信息行为。在这里,我们研究了接近度的作用,以及它如何影响在时间敏感的信息环境中可能拯救生命的信息共享决策:团队内部的接近度(共享知识状态)和与事件的接近度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Storm Warnings: Time Sensitive Proximity
Weather-predictive tasks during high risk severe weather events are carried out for the common good of the community by virtual teams of weather professionals. Severe weather predictors are responsible for producing the early warnings that inform people in harms way and potentially save lives. Should we be concerned with the use of “other-generated” information from social media used by these professionals? Teams extend understanding of an event by looking to external sources of situationally relevant information such as storm spotters, publicly generated photos and comments posted to online social media (OSM), and communication with community partners. Situationally relevant OSM, specifically Twitter, provides insight to the information behavior of the team. Here we examine the role of proximity and how it impacts decisions on potentially life-saving information sharing in time sensitive information environments: proximity within the team (shared knowledge state) and proximity to the event (hashtag) specifically are addressed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Proceedings from the Document Academy
Proceedings from the Document Academy Arts and Humanities-Conservation
CiteScore
0.10
自引率
0.00%
发文量
9
审稿时长
10 weeks
期刊最新文献
This Sounds Like an Episode of The X-Files: Analyzing How Twitter Users Interpreted the COVID-19 Pandemic through the Lens of Sci-Fi Television "i’m mixing comic book canon and mcu canon to suit my own needs": Information Sharing as Community Building in a Fandom in Flux Fandom, Fanzines, and Archiving Science Fiction Fannish History The Library Wants to Kill You: Places of Information as Battleground and Sanctum in Halo Halliday Journals and Holodecks: Audiences and Information in Sci-Fi Fandoms: Papers from the FanLIS 2023 Symposium
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1