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Crisis Media - Discovering Social Me...
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Doty, Christopher J,
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Crisis Media - Discovering Social Media's Role in the Emergency Management Process /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Crisis Media - Discovering Social Media's Role in the Emergency Management Process // Christopher J Doty.
作者:
Doty, Christopher J,
面頁冊數:
1 electronic resource (193 pages)
附註:
Source: Dissertations Abstracts International, Volume: 86-03, Section: A.
Contained By:
Dissertations Abstracts International86-03A.
標題:
Emergency preparedness. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31353840
ISBN:
9798384211426
Crisis Media - Discovering Social Media's Role in the Emergency Management Process /
Doty, Christopher J,
Crisis Media - Discovering Social Media's Role in the Emergency Management Process /
Christopher J Doty. - 1 electronic resource (193 pages)
Source: Dissertations Abstracts International, Volume: 86-03, Section: A.
The use of social media platforms has opened up a new avenue for information gathering by those in the emergency management field. This dissertation examines the use of this new source of information and seeks to add to the Crisis Informatics field of research.To do so, semi-structured interviews were conducted with members of the Emergency Management community. These individuals play a vital role in the disaster response and recovery process. They have the responsibility of providing information, gathering resources, and coordinating response efforts when disaster strikes. The aim of these interviews was to discover what information these emergency managers believed could be obtained from social media in order to aid in their operations. The coding of the interview transcripts found a set of "information categories" that appeared across the responses of the participants that made up the sample. These categories have been used to describe the types of information the emergency managers indicated as being useful. From there, the categories are used to justify a list of design considerations that future researchers should consider when designing social media analysis tools.Alongside the creation of design considerations was the development of different prototyped social media data analysis tools. This development was completed to attempt to conduct real time analysis of social media data. These tools utilized the Natural Language Processing methods of sentiment analysis, named entity recognition, and term frequency analysis. When applied to various datasets of collected Tweets, a potential example of event detection was created.
English
ISBN: 9798384211426Subjects--Topical Terms:
3544045
Emergency preparedness.
Crisis Media - Discovering Social Media's Role in the Emergency Management Process /
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The use of social media platforms has opened up a new avenue for information gathering by those in the emergency management field. This dissertation examines the use of this new source of information and seeks to add to the Crisis Informatics field of research.To do so, semi-structured interviews were conducted with members of the Emergency Management community. These individuals play a vital role in the disaster response and recovery process. They have the responsibility of providing information, gathering resources, and coordinating response efforts when disaster strikes. The aim of these interviews was to discover what information these emergency managers believed could be obtained from social media in order to aid in their operations. The coding of the interview transcripts found a set of "information categories" that appeared across the responses of the participants that made up the sample. These categories have been used to describe the types of information the emergency managers indicated as being useful. From there, the categories are used to justify a list of design considerations that future researchers should consider when designing social media analysis tools.Alongside the creation of design considerations was the development of different prototyped social media data analysis tools. This development was completed to attempt to conduct real time analysis of social media data. These tools utilized the Natural Language Processing methods of sentiment analysis, named entity recognition, and term frequency analysis. When applied to various datasets of collected Tweets, a potential example of event detection was created.
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