Big Crisis Data: Social Media in Disasters and Time-Critical Situations
暫譯: 重大危機數據：災難與時間緊迫情境中的社交媒體

Castillo, Carlos

Big Crisis Data: Social Media in Disasters and Time-Critical Situations
  • 出版商: Cambridge
  • 出版日期: 2019-12-19
  • 售價: $2,030
  • 貴賓價: 9.5 折 $1,929
  • 語言: 英文
  • 頁數: 224
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1108816940
  • ISBN-13: 9781108816946

    • 海外代購書籍(需單獨結帳)

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商品描述

Social media is an invaluable source of time-critical information during a crisis. However, emergency response and humanitarian relief organizations that would like to use this information struggle with an avalanche of social media messages that exceeds the human capacity to process. Emergency managers, decision makers, and affected communities can make sense of social media through a combination of machine computation and human compassion - expressed by thousands of digital volunteers who publish, process, and summarize potentially life-saving information. This book brings together computational methods from many disciplines: natural language processing, semantic technologies, data mining, machine learning, network analysis, human-computer interaction, and information visualization, focusing on methods that are commonly used for processing social media messages under time-critical constraints, and offering more than 500 references to in-depth information.

  •  
  • Domain specific, rather than method specific
  • Accessible to a broad audience, including practitioners and those involved in crisis management, rather than just computer scientists
  • Allows the reader to make sense of a rapidly developing area

商品描述(中文翻譯)

社交媒體在危機期間是一個無價的即時資訊來源。然而，希望利用這些資訊的緊急應變和人道救援組織，卻面臨著超過人類處理能力的社交媒體訊息洪流。緊急管理者、決策者和受影響社區可以透過機器計算和人類同情心的結合來理解社交媒體，這種同情心由數千名數位志願者表達，他們發布、處理和總結潛在的救命資訊。本書匯集了來自多個學科的計算方法：自然語言處理、語意技術、資料探勘、機器學習、網路分析、人機互動和資訊視覺化，專注於在時間緊迫的限制下處理社交媒體訊息的常用方法，並提供超過500個參考文獻以獲取深入資訊。

- 以領域為主，而非以方法為主
- 讓廣泛的讀者群體可接觸，包括實務工作者和危機管理相關人員，而不僅僅是計算機科學家
- 使讀者能夠理解一個快速發展的領域

作者簡介

Carlos Castillo is a researcher in social computing. He is a web miner with a background in information retrieval, and has been influential in the areas of web content quality and credibility. He has co-authored more than seventy publications in top-tier international conferences and journals, a monograph on adversarial web search, and a book on information and influence propagation.

作者簡介(中文翻譯)

卡洛斯·卡斯蒂略（Carlos Castillo）是一位社會計算的研究者。他是一名網路挖掘專家，擁有資訊檢索的背景，並在網路內容質量和可信度方面具有重要影響力。他共同撰寫了超過七十篇在頂尖國際會議和期刊上發表的論文、一部關於對抗性網路搜尋的專著，以及一本關於資訊與影響傳播的書籍。

目錄大綱

1. Introduction
2. Volume: data acquisition, storage, and retrieval
3. Vagueness: natural language and semantics
4. Variety: classification and clustering
5. Virality: networks and information propagation
6. Velocity: online methods and data streams
7. Volunteers: humanitarian crowdsourcing
8. Veracity: misinformation and credibility
9. Validity: biases and pitfalls of social media data
10. Visualization: crisis maps and beyond
11. Values: privacy and ethics
12. Conclusions and outlook.

目錄大綱(中文翻譯)

1. Introduction

2. Volume: data acquisition, storage, and retrieval

3. Vagueness: natural language and semantics

4. Variety: classification and clustering

5. Virality: networks and information propagation

6. Velocity: online methods and data streams

7. Volunteers: humanitarian crowdsourcing

8. Veracity: misinformation and credibility

9. Validity: biases and pitfalls of social media data

10. Visualization: crisis maps and beyond

11. Values: privacy and ethics

12. Conclusions and outlook.

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