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Crisis Media - Discovering Social Media's Role in the Emergency Management Process
Crisis Media - Discovering Social Media's Role in the Emergency Management Process
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152111
- ISBN
- 9798384211426
- DDC
- 363.34
- 서명/저자
- Crisis Media - Discovering Social Medias Role in the Emergency Management Process
- 발행사항
- [Sl] : The Pennsylvania State University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 193 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-03, Section: A.
- 주기사항
- Advisor: Giacobe, Nicklaus A.
- 학위논문주기
- Thesis (Ph.D.)--The Pennsylvania State University, 2024.
- 초록/해제
- 요약The 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.
- 일반주제명
- Emergency preparedness
- 일반주제명
- Evacuations & rescues
- 일반주제명
- Web studies
- 일반주제명
- Public administration
- 일반주제명
- Sociology
- 기본자료저록
- Dissertations Abstracts International. 86-03A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a363.34
■1001 ▼aDoty, Christopher J.
■24510▼aCrisis Media - Discovering Social Media's Role in the Emergency Management Process
■260 ▼a[Sl]▼bThe Pennsylvania State University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a193 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-03, Section: A.
■500 ▼aAdvisor: Giacobe, Nicklaus A.
■5021 ▼aThesis (Ph.D.)--The Pennsylvania State University, 2024.
■520 ▼aThe 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.
■590 ▼aSchool code: 0176.
■650 4▼aEmergency preparedness
■650 4▼aBlack Lives Matter movement
■650 4▼aEvacuations & rescues
■650 4▼aWeb studies
■650 4▼aPublic administration
■650 4▼aSociology
■690 ▼a0646
■690 ▼a0338
■690 ▼a0617
■690 ▼a0626
■71020▼aThe Pennsylvania State University.
■7730 ▼tDissertations Abstracts International▼g86-03A.
■790 ▼a0176
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17162911▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
