Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 公共衛生學院
  3. 健康政策與管理研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68942
標題: 健康照護研究的新視野:運用網路搜尋與社群媒體探索肥胖照護議題
A New Dimension of Health Care: the Uses of Google Trends and Social Media for Obesity Communication
作者: Ho-Wei Wang
王鶴偉
指導教授: 陳端容(Duan-Rung Chen)
共同指導教授: 陳雅美(Ya-Mei Chen)
關鍵字: 搜尋引擎,大數據,社群媒體,內容分析,肥胖,減重手術,Google Trends,
Google Trends,Internet search,Big data,Obesity,Social media,
出版年 : 2017
學位: 博士
摘要: Background: Despite the fact that many efforts and resources to prevent obesity were invested tremendously before, the obesity rate has continued to rise in Taiwan from 37.48% (2008) to 40.12% (2013). Therefore, a new direction of research becomes more critical. Nowadays, Internet has become a popular media for people searching for health-related knowledge and allows millions of users around the world to communicate through interactive network-oriented social media. The Internet world offers a new perspective for public heath to approach.
Objective: This study aims to investigate how Internet health search, online news media and social media affect the virtual obesity community on the Internet. I first explore the association between the business cycle and obesity-related search behavior on the Internet, and then followed by the investigation of the network of Facebook obesity community. Last, the content analysis of bariatric surgery on news media and social media is examined.
Material and method: Internet search data was downloaded from Google Trends. Social media data was crawled by Facebook API and Python crawling robot. SPSS statistics, ver 20.0 was used to calculate Pearson correlation coefficient. The UCINET 6.0 and NetDraw software were used to draw and analyze the network dataset.
Results: During pre-financial and financial crisis period, Taiwan stock index (TWSE) is positive associated with obesity-related awareness and behavior search, suggesting economic hardship may be the underlying force affecting individual obesity-related internet search. Facebook obesity community possessed network structure and small-world property, and the network clustering co-efficient changed over time. Individual choice, particularly eating, was mostly portrayed in obesity news. However, obesity stigmatization and discrimination were unfortunately filled in the news and reader’s comments.
Discussion: From public health viewpoints, Internet surveillance may offer a new way to prevent the obesity. Government may adopt an aggressive way to push effective obesity-related information to Internet through media or search engine. In addition, better management of virtual community on social media may lead to an efficient way to diffuse the correct obesity-related information.
URI: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68942
DOI: 10.6342/NTU201703604
全文授權: 有償授權
顯示於系所單位:健康政策與管理研究所

文件中的檔案:
檔案 大小格式 
ntu-106-1.pdf
  未授權公開取用
3.64 MBAdobe PDF
顯示文件完整紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved