English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113648/144635 (79%)
Visitors : 51571697      Online Users : 951
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/148013


    Title: 核能議題的政策論證與風險溝通:網路輿情分析的應用
    Policy Argument and Risk Communication on Nuclear Energy Policy - an Application of Internet Public Opinion Analysis
    Authors: 蕭乃沂;黃東益
    Contributors: 公行系
    Keywords: 核能;風險溝通;網路輿情;大數據;政策論證
    Nuclear Energy;Risk Communication;Internet Public Opinion;Big Data;Policy Argument
    Date: 2016-05
    Issue Date: 2023-10-24 09:08:54 (UTC+8)
    Abstract: 依據 2013 年數位機會調查,我國12 歲以上民眾有76%已經上網,20-60 歲更高達九成以上;其 中又有大約三成的上網民眾曾經在政府或其他網站(如特定討論區、社群媒體如Facebook)上發表對 於政府與特定公共政策議題的看法。尤其對於核能(包括核四廠、能源規劃)等具備專業複雜度與價 值爭議性的公共政策,傳統民意蒐集管道如大眾傳播媒體、專家學者座談、與針對一般民眾電話調查, 以上述民眾逐漸習慣於在網路上表達意見的趨勢來看,不論是資料數量與更新速度都已經超越傳統民 意蒐集管道所能妥善代表的程度。更有甚者,具備專業複雜與價值爭議政策的政府主管機關,也逐漸 無從瞭解網路輿情的趨向,更遑論妥善因應與溝通。 緣此,利用網路巨量資料(或海量資料、大數據,big data)進行民意調查更成為政府及政策研 究機構必須面對的趨勢,尤其對於高衝突爭議的核能議題而言,如果能以先進技術蒐集分析呈現網路 民眾的隨特定事件變遷的大量多元意見,並妥善與傳統民意調查途徑予以整合運用,也將成為政策行 銷與風險溝通的另一重要的循證基礎。本研究即企圖透過先進的網路輿情分析技術,蒐集分析多元網 路媒介上民眾對於核能政策與其相關議題的意見,並且在一段期間內觀察其變化趨勢,同時與當時的 政治社會事件對照論述,一方面企圖萃取網路輿情在核能議題上的政策論證,同時對照政府主管機關 的政策文件與溝通內容,另一方面也特別探討對於核能議題上風險溝通的意涵。
    According to 2013 Survey of Digital Opportunity, 76% citizens in Taiwan have used the Internet, and 30% of the so-called netizens have posted opinions on the websites of governments and other organizations including Facebook and PTT. Particularly for those highly professional and value controversial policy issues like Nuclear Energy, the public opinions on the Internet have gone beyond what traditional survey approaches can handle in terms of hug volume and fast updating of data. Public agencies and officials also lack knowledge and skill to transform the public opinions on the Internet to effective policy marketing and communication. Accordingly, the proposed study aims to collect and analyze the public opinions on the Internet regarding Nuclear Energy in Taiwan. As we call the process Internet Public Opinion Analysis (IPOA), the keywords, important and relevant events, and policy issue sentiments will be analyzed and presented in aid of involvement of domain experts and the framework of policy arguments. The results are expected to shed light on policy analysis for the Nuclear Energy issue, with special contribution to the policy authorities in charge of policy marketing and risk communication.
    Relation: 科技部, MOST104-NU-E004-001-NU, 104.01-104.12
    Data Type: report
    Appears in Collections:[公共行政學系] 國科會研究計畫

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML2112View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback