Politics and Big Data: Nowcasting and Forecasting Elections with Social Media
暫譯: 政治與大數據:利用社交媒體進行即時預測與選舉預測

Andrea Ceron, Luigi Curini, Stefano Maria Iacus

  • 出版商: Routledge
  • 出版日期: 2019-01-08
  • 售價: $2,000
  • 貴賓價: 9.5$1,900
  • 語言: 英文
  • 頁數: 188
  • 裝訂: Paperback
  • ISBN: 0367194554
  • ISBN-13: 9780367194550
  • 相關分類: 大數據 Big-data
  • 海外代購書籍(需單獨結帳)

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商品描述

The importance of social media as a way to monitor an electoral campaign is well established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and opinion allows observers and scholars to monitor trends and momentum in public opinion well before traditional polls. However, there are difficulties in recording and analyzing often brief, unverified comments while the unequal age, gender, social and racial representation among social media users can produce inaccurate forecasts of final polls. Reviewing the different techniques employed using social media to nowcast and forecast elections, this book assesses its achievements and limitations while presenting a new technique of "sentiment analysis" to improve upon them. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media-based electoral forecasts prove most accurate while new case studies from France, the United States and Italy demonstrate how much more accurate "sentiment analysis" can prove.

商品描述(中文翻譯)

社交媒體在監測選舉活動中的重要性已經得到充分證實。逐日、逐時評估線上觀點和意見的演變,使觀察者和學者能夠在傳統民調之前,提前監測公共意見的趨勢和動向。然而,記錄和分析那些通常簡短且未經驗證的評論存在困難,而社交媒體用戶在年齡、性別、社會和種族代表性上的不平等,可能會導致對最終民調的不準確預測。本書回顧了使用社交媒體進行即時預測和預測選舉的不同技術,評估其成就和局限性,同時提出一種新的「情感分析」技術以改進這些方法。作者對現有文獻進行了元分析,以顯示基於社交媒體的選舉預測在何種條件下最為準確,同時來自法國、美國和義大利的新案例研究展示了「情感分析」能夠提供的更高準確性。