請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68942完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳端容(Duan-Rung Chen) | |
| dc.contributor.author | Ho-Wei Wang | en |
| dc.contributor.author | 王鶴偉 | zh_TW |
| dc.date.accessioned | 2021-06-17T02:43:21Z | - |
| dc.date.available | 2022-09-12 | |
| dc.date.copyright | 2017-09-12 | |
| dc.date.issued | 2017 | |
| dc.date.submitted | 2017-08-16 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68942 | - |
| dc.description.abstract | 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. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T02:43:21Z (GMT). No. of bitstreams: 1 ntu-106-D01848008-1.pdf: 3730834 bytes, checksum: 0c4adbac850ea267a5aac4a26bf7cdd1 (MD5) Previous issue date: 2017 | en |
| dc.description.tableofcontents | Acknowledgements ……………………………………………………………………...I
Abstract (Chinese) ……………………………………………………………………...II Abstract (English) ……………………………………………………………………...III Table of Contents ……………………………………………………………………….V List of Figures…………………………………………….……...…………………...XIII List of Tables …..……………………………….....………………..………………….IX Chapter 1 Introduction 1 1.1 Background 1 1.2 Purpose of the research 4 1.3 Research objectives 9 1.4 Significance of the research 11 Chapter 2 Literature review 13 2.1. Obesity 13 2.1.1 Obesity and prevalence 13 2.1.2 Obesity therapies 15 2.2 Health seeking behavior on the Internet 15 2.2.1 People’s information seeking behavior 15 2.2.2 Internet online health search 17 2.2.3 Online search strategies and collective behavior 20 2.3 Framework of the literature review 22 Chapter 3 Methodology 23 Chapter 4 Study 1 24 4.1 Literature review 24 4.1.1 Obesity and economy 24 4.1.2 Healthy behavior and the economy 26 4.1.3 Infodemiology research 29 4.1.4 The economy and Internet search strategy 34 4.2 Methods 38 4.2.1 Data Sources 38 4.3 Results 43 4.4 Discussion 51 Chapter 5 Study 2 57 5.1 Literature review 57 5.1.1 Social media and social network 57 5.1.2 Social media and health 59 5.1.3 Facebook fan page and likes 62 5.1.4 Small world 63 5.2 Methods 64 5.2.1 Data collection and web crawling 65 5.2.2 Network data processing and visualization 67 5.3 Results 69 5.4 Discussion 77 Chapter 6 Study 3 80 6.1 Literature review 80 6.1.1 Media content analysis 80 6.1.2 Stigma and discrimination 81 6.2 Methods 81 6.2.1 News media framing 81 6.2.2 Keywords presented most in bariatric surgery news 82 6.2.3 Obesity stigma in reader’s comments 83 6.3 Results 84 6.3.1 Media framing 84 6.3.2 Co-word analysis 86 6.3.3 Word cloud analysis 88 6.4 Discussion 91 Chapter 7 Conclusion 94 Chapter 8 Limitation 97 Reference 98 Appendix………………………………………………………………………………112 | |
| dc.language.iso | en | |
| dc.subject | 社群媒體 | zh_TW |
| dc.subject | 減重手術 | zh_TW |
| dc.subject | 搜尋引擎 | zh_TW |
| dc.subject | 大數據 | zh_TW |
| dc.subject | Google Trends | zh_TW |
| dc.subject | 內容分析 | zh_TW |
| dc.subject | 肥胖 | zh_TW |
| dc.subject | Google Trends | en |
| dc.subject | Internet search | en |
| dc.subject | Big data | en |
| dc.subject | Obesity | en |
| dc.subject | Social media | en |
| dc.title | 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 | zh_TW |
| dc.title | A New Dimension of Health Care: the Uses of Google Trends and Social Media for Obesity Communication | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 105-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.coadvisor | 陳雅美(Ya-Mei Chen) | |
| dc.contributor.oralexamcommittee | 郭年真(Nien-Chen Kuo),陳昇瑋(Sheng-Wei Chen),陳百齡(Pai-Lin Chen) | |
| dc.subject.keyword | 搜尋引擎,大數據,社群媒體,內容分析,肥胖,減重手術,Google Trends, | zh_TW |
| dc.subject.keyword | Google Trends,Internet search,Big data,Obesity,Social media, | en |
| dc.relation.page | 112 | |
| dc.identifier.doi | 10.6342/NTU201703604 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2017-08-16 | |
| dc.contributor.author-college | 公共衛生學院 | zh_TW |
| dc.contributor.author-dept | 健康政策與管理研究所 | zh_TW |
| 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 MB | Adobe PDF |
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。
