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題名 憂鬱傾向者之微博書寫分析
Search for Depress Tendency: An Analysis on Chinese Micro-Blog Texts
作者 任喆鸝
Ren, Zhe Li
貢獻者 陳百齡<br>陳恭
Chen, Pai Ling<br>Chen, Kung
任喆鸝
Ren, Zhe Li
關鍵詞 憂鬱人群
書寫
微博
文本分析
Depressed crowd
Writing
Micro-blog
Text analysis
日期 2015
上傳時間 3-Aug-2015 13:12:19 (UTC+8)
摘要 本文嘗試透過社群媒體微博進行憂鬱書寫識別，主要期望回答兩方面的問題：（一）中國憂鬱人群之社群媒體書寫特質為何？（二）如何透過該書寫特質識別更多的憂鬱文本？
透過對十位已確認之憂鬱症患者之微博關係圈進行滾雪球，發現 127憂鬱傾向者，共爬取憂鬱傾向者之微博文本20748則，作為文本分析之數據集，並運用內容分析、質化分析、詞頻分析及詞語共現等多種方法分析文本。
分析結果顯示：(1)透過對文本進行語調、情緒、主題及憂鬱程度的編碼後，我們發現憂鬱傾向者在微博之書寫含62%的負面語調及25.1%的憂鬱文本，其中，負面及憂鬱程度較高的書寫主題是「自我」、「親情」、「自殺」及「睡眠障礙」。(2)深入對「自我」及「親情」憂鬱書寫的質化分析後，發現他們不同於一般人的心理特質，其中，「自我厭惡」及「不被理解」是他們心中最難以釋懷的角落。(3)由於「自殺」、「睡眠障礙」屬於憂鬱人群特徵，經過分析發現透過主題關聯詞的共現詞組有助於辨識憂鬱人群，其中，「睡眠障礙」共現詞的憂鬱文本辨識度達74%，「自殺」共現詞的憂鬱文本辨識度達34%，未來透過機器的方式，可進一步優化該方法，提升憂鬱文本的辨識度。
This research aims to answer the following questions:(1)What are the characteristics of micro-blog writing by the depressed tendency people? (2)How to identify the text in social media? Ten Wei-bo users with identified depressed tendency were chosen as starting points of snow-ball searching, and 127 users were located. A total of 20748 messages from this group of the users was collected as the dataset. Multiple methods were applied to analyze the texts: content analysis, qualitative text analysis, word frequency analysis and word co-occurrence.
The result indicated that: (1)Through the coding of the text tone, mood, theme and degree of depression, we find out that in micro blog writing, the depressive tendency uses 62% of the negative tone and 25.1% of the blue text. Among them, higher negative and degree of depression of writing subjects are "self", "family", "suicide" and "sleep disorder". (2)Through deep qualitative analysis of "self" and "affection" depressed writing, the "self loathing" and "don`t understand" in their mind are the most unforgettable. (3)Because the depressed people have the features of "suicide" and "sleep disorder", through the analysis, we find that through theme related words, it is helpful in the identification of the depression text. Among them, the "sleep disorders" co-occurrence words depressed text identification is up to 74%, and "suicide" co-occurrence words depressed text identification degree is 34 %.In the future, through the computer, we can further optimize the method, and enhance the degree of identification of depression text.
參考文獻 王宇（2012）。《走出抑鬱症：一個抑鬱症患者的成功自救》。北京：機械工業出版社。
王志青、李獻雲、張艷萍、費立鵬（2010）。〈北京綜合醫院有無自殺意念的重性抑鬱發作患者特徵比較〉，《中國心理衛生雜誌》，24(5)，334-335。
中國互聯網絡資訊中心（2014）。《2014年中國社交類應用用戶行為研究報告》。
孔繁鐘（2009）。《DSM-IV-TR精神疾病診斷準則手冊》。臺北：合記。（原書American Psychiatric Association. [2000]. Quick Reference to the Diagnostic Criteria from DSM-IV-TR, U.S.A., NV: Golden Valley.）
任喆鸝（2014）。〈憂鬱症青年患者的微博書寫分析——以「走飯」為例〉，《數位世紀傳播生態》，臺北：揚智文化。
肖水源、周亮、徐慧蘭（2005）。〈危機干預與自殺預防（二）：自殺行為的概念與分類〉，《臨床精神醫學雜誌》，15(5)，298-299。
李玉衡（2008）。〈心理健康自測不能信〉，《首都醫藥》，24-25。
吳幸宜、饒怡君、楊大和、沈永正、杜仲傑譯（2005）。《變態心理學》。臺北：桂冠圖書。（原書Christopher Peterson [1996]. The Psychology of Abnormality, Singapore, SG: Thomson Learning.）
李彥、郝多（2012年3月20日）。〈南京抑鬱症女孩自縊生前預設微博遺言〉，《人民網》。取自http://js.people.com.cn/html/2012/03/20/91473.html
李晉（2012年7月30日）。〈我國抑鬱癥患者已超3000萬未就醫率高達62.9%〉，《大公網》。取自http://www.takungpao.com/health/content/2012-07/30/content_847403.htm
何修宜譯（2001）。《憂鬱症》。臺北：智庫。（原書Robert Buckman &Anne Charlish [1999]. What You Really Need to Know about Depression, Singapore, SG: Marshall Editions.）
李磊譯（2005）。《正能量》。長沙：湖南文藝出版社。（原書Richard Wiseman [2012]. Rip It Up: The radically new approach to changing your life.）
林長順（2014年5月15日）。〈史哲維主播身亡中天惋惜〉，《人民網》。取自http://www.cna.com.tw/news/firstnews/201405155010-1.aspx
金星明譯（2000）。《歇斯底里症研究》。台北：知書房。（原書Freud,
S. &Breuer, J. [1895]. Studies on Hysteria. New York: Basic Books）
胡秉正譯（1959）。《普通心理學》。臺北：正中書局。（原書Robert S. Woodworth & Donald G. Marguis [1957]. Psychology, New York, NY: Henry Holt And Company.）
胡澤卿、劉協和、曹莉萍（1997）。〈抑鬱症的自殺未遂及其危險因素分析〉，《中華精神科雜誌》，30(2)，70-73。
徐東、張學立、李獻雲、費立鵬、曹孔敬、張艷萍、楊甫德、許永臣（2010）。〈自殺未遂者出院18個月應對方式與社會支援的病例對照研究〉，《中國神經精神疾病雜誌》，36(3)，157-160。
徐卓君、沈玎（2014年3月19日）。〈你好，抑鬱〉,《南都週刊》。取自 http://www.nbweekly.com/news/special/201403/36141.aspx
孫俊才、吉峰（2005）。〈無望理論：從病因學視角理解憂鬱〉，《中國行為醫學科學》，14(6)，566-567。
陳憶寧（2010）。〈「我」即是來源：癌症部落客的書寫研究〉，《新聞學研
究》，106：99-134。
陳俊欽（2002）。《戰勝憂鬱》。臺北：健康。
陳俊欽（2004）。《憂鬱與憂鬱症》。臺北：健康。
陳瑜、徐偉（2011年10月31日）。〈普查：中國有嚴重精神障礙患者約1600萬人〉，《鳳凰網》。取自http://tech.ifeng.com/discovery/miracle/detail_2011_10/31/10282943_0.shtml
張亞薇譯（2014）。《情緒習慣，決定你的一生：戒斷負面情緒、強化正能量的五大方法》。臺北：方智。（原書：박용철[2013].감정은습관이다.）
游和正、黃挺豪、陳信希（2012）。《領域相關詞彙極性分析及檔情緒分類之研究》。Computational Linguistics and Chinese Language Processing, 17(4), 33-48.
楊中芳（2001）。《如何研究中國人》。臺北：遠流。
蔣林（2015年4月6日）。〈抑鬱癥“肆虐”全球〉，《廣州日報》。取自http://gzdaily.dayoo.com/html/2015-04/06/content_2898214.htm
蔡篤堅（2007）。《人文、醫學與疾病敘事》。臺北：記憶工程。
劉英茂、鄭昭明、黃榮村、徐嘉宏、李美枝、劉凱申、曾華鈞、朱瑞玲、黃光國、吳英璋（1978）。《普通心理學》。臺北：大洋。
魏巧宜、馬麗菁、李中芬（2012）。<運用資料勘探方法於憂鬱症傾向之研究>，「第23屆國際資訊管理學術研討會」，高雄大學。
蘇東平(2004)。〈憂鬱症的再度檢視、省思和建議〉,《聲洋防癌之聲》,106：23-24。
蘇清菁、陳玉敏(2009)。無望感之概念分析，長庚護理，20(4)，456-462。
Abramson, L. Y., Metalsky, G. I., & Alloy, L. B. (1989). Hopelessness depression: A theory-based subtype of depression. Psychological Review, 96, 358–372.

Babbie. E.(1995). The Practice of Social Research(Seventh Edition). Belmont: Wadsworth Publishing Company.
Barelson, B.(1952).Content Analysis in Communication Research. Glencoe, III.: The Free Press.
Beck, A. T., Steer, R. A. & Kovacs, M.(1985). Hopelessness and eventual suicide, a 10-year prospective study of patients, hospitalized with suicidal ideation, Am J Psychiatry,142(5):559-563.
Bollen, Huina, M. & Xiao, J. Z.(2010)Twitter mood predicts the stock market. Journal of Computational Science, 2(1),1-8.
Breuer, Josef and Freud, Sigmund (1895/1995), Studies on Hysteria. In James Strachey (Ed.) The Standard Edition of the Complete Psychological Works of Sigmund Freud. London: Hogarth Press, Vol.2, xxxii, pp. 1–335.
Dan, Z.(1995). Depression and Culture-A Chinese Perspective. Canadian Journal of Counselling, 29(3), 227-233.
Dave Itzkoff（2014年08月12日）。〈喜劇演員羅賓•威廉姆斯去世，生前患嚴重抑鬱症〉，《紐約時報中文網》。取自http://cn.nytimes.com/obits/20140812/c12williams-update/
De Choudhury, M., Counts, S. & Horvitz, E. (2013) Pre-dicting Postpartum Changes in Behavior and Mood via Social Media.In Proc. CHI 2013, to appear.
De Choudhury, M., Mason, W. A., Hoffman, J. M.& Watts, D. J. 2010. Inferring relevant social networks from interpersonal communication. In Proc. WWW 2010.
DeSalvo, L. (1999). Writing as a way of healing. Boston, MA: Beacon Press.
Gordon, P. (1999). Face to face: Therapy as ethics. London, England: Constable.
Greene, J., Choudhry, N., Kilabuk, E.& Shrank, W. (2010). Online social networking by patients with diabetes: A qualitative evaluation of communication with Facebook. Journal of General Internal Medicine. 26(3):287-92.
House, J., Landis, K. R., & Umberson, D. (1988), Social relationship and health, Science, 241,540-545.
Kelly, A. E, Mackillop, K. J.(1996). Consequences of revealing personal secrets. Psychological Bulletin, 120(3): 450-465.
Kleinman, A. (1979). Patients and healers in the context of Culture.Berkeley, CA: University of California Press.
Kleinman (1986).Social origins of distress and disease—depression, neurasthenia, and pain in modern China. New Haven: Yale University Press.
Lazarus, R. S. (1991). Emotion and adaptation. New York: Oxford University Press.
Li, M. (1993). The history of psychology in China.Canadian Psychology, 34, 409.
Mann, D. W. (1991). "Ownership: A Pathography of the Self."British Journal of Medical Psychology, 64, 211-223.
Megan, A. M., Lauren, A. J., Katie, G. E., Elizabeth, C., Henry, Y., Kerry, E. G. & Tara, B. (2011). Depress Anxiety, 28(6), 447-455.
Michael, J. P. & Mark, D. (2011). You Are What You Tweet: Analyzing Twitter for Public Health. Association for the Advancement of Artificial Intelligence (www.aaai.org).
Michael, R. P., Jingxuan, Z., Qichang, S., Zhijie, D., Shutao, P., Xianyun, L., Yali, Z., &Zhiqing, W. (2009). Prevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001-05: an epidemiological survey. The Lancet, Vol. 373, Jun 2009, 2041-2053.
Michael, R. P., Xianyun, L., & Yanping, Z.(2002). Suicide rates in China, 1995-99. The Lancet, Vol. 373, Jun 2009, 2041-2053.
Miller, T.E. &Reents, S.: The health care industry in transition. The online mandate to change. New York, Cyber Dialogue, 1998.
Minsu, P., Chiyoung, C.& Meeyoung, C. (2012). Depressive Moods of Users Captured in Twitter.In Proc. ACM SIGKDD Work-shop on Healthcare Informatics (HI-KDD).
Munmun, D. C., Michael, G., Scott, C. & Eric, H. (2013) Predicting Depression via Social Media.
Munmun, D. C., Scott, C.& Michael, G. (2012) Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media. Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media, 66-73.
Orbach, I. (1989). Familial and intrapsychic splits in suicidal adolescents. American Journal of Psychotherapy, July XLIII(3), 356-367.
Papacharissi, Z. (2007). Audience as media producers: Content analysis of 260 blogs. In M. Tremayne (Ed.), Blogging, citizenship, and the future of media (pp. 21-38). New York, NY:Routledge.
Pennebaker, J. W. (1990). Opening up: The healing powers of confiding in others. New York, NY: Morrow.
Pennebaker, J. W. (1997). Opening Up: The healing power of expressing emotion. New York, NY: Guilford.
Phillips, D. P.(1974)The influence of suggestion on suicide: Substantive and theoretical implications of the Weather effect.American Sociological Review, Vol. 39(3), Jun 1974, 340-354.
Robinson, J., Rodrigues, M., Fisher, S.& Herrman, H. (2014). Suicide and Social Media: Findings from the Literature Review, Young and Well Cooperative Research Centre, Melbourne.
Science Panel on Interactive Communication and Health. (1999)Wired for Health and Well-Being: The Emergence of Interactive Health Communication. Washington, DC, US Department of Health and Human Services, 1999.
Shaver, P. R., Wu, S.& Schwartz, J. C. (1992). Cross-cultural similarities and differences in emotion and its representation. In M. S. Clark (Ed.), Emotion: Review of personality and social psychology (pp. 175-212). Newbury Park, CA: Sage.
Stephanie, S. R., Eva-Maria, G.& James, W. P. (2004). Language use of depressed and depression-vulnerable college students.COGNITION AND EMOTION, 18(8), 1121-1133.
Thomas, D. R., Gary, M. H., Garyfalia, A., Michael, J. T. & Nadja, F. (2011). Suicide Announcement on Facebook.Crisis, 32(5), 280-282.
Thomas, E. J. (1999) The Clustering and Contagion of Suicide, Psychological Science, June 1999, vol. 8, no. 3 89-92.
Thomas, K. H., Lisa, A. C., Hong, T. V., Joel, K. & Janice T. (2001). Screening the Public for Depression Through the Internet. Psychiatric Services, 52(3), 362-367.
Tseng, W. S. (1975). The nature of somatic complaints among psychiatric patients: TheChinesecase. Comprehensive Psychiatry, 16, 237-45.
Turkle, S. (1995). Life on the screen: Identity in the age of the Internet. New York, NY: Simon & Schuster.
Vance, K., Howe, W.& Dellavalle, R. P. (2009). Social internet sites as a source of public health information. Dermatologic Clinics 27(2):133-136.
Walker, L. & Avent, K. (1995). Strategies for theory construction in nursing(3rd ed.). London: Appleton Lange.
描述 碩士
國立政治大學
新聞研究所
101451029
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0101451029
資料類型 thesis
dc.contributor.advisor 陳百齡<br>陳恭zh_TW
dc.contributor.advisor Chen, Pai Ling<br>Chen, Kungen_US
dc.contributor.author (Authors) 任喆鸝zh_TW
dc.contributor.author (Authors) Ren, Zhe Lien_US
dc.creator (作者) 任喆鸝zh_TW
dc.creator (作者) Ren, Zhe Lien_US
dc.date (日期) 2015en_US
dc.date.accessioned 3-Aug-2015 13:12:19 (UTC+8)-
dc.date.available 3-Aug-2015 13:12:19 (UTC+8)-
dc.date.issued (上傳時間) 3-Aug-2015 13:12:19 (UTC+8)-
dc.identifier (Other Identifiers) G0101451029en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/77119-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 新聞研究所zh_TW
dc.description (描述) 101451029zh_TW
dc.description.abstract (摘要) 本文嘗試透過社群媒體微博進行憂鬱書寫識別，主要期望回答兩方面的問題：（一）中國憂鬱人群之社群媒體書寫特質為何？（二）如何透過該書寫特質識別更多的憂鬱文本？
透過對十位已確認之憂鬱症患者之微博關係圈進行滾雪球，發現 127憂鬱傾向者，共爬取憂鬱傾向者之微博文本20748則，作為文本分析之數據集，並運用內容分析、質化分析、詞頻分析及詞語共現等多種方法分析文本。
分析結果顯示：(1)透過對文本進行語調、情緒、主題及憂鬱程度的編碼後，我們發現憂鬱傾向者在微博之書寫含62%的負面語調及25.1%的憂鬱文本，其中，負面及憂鬱程度較高的書寫主題是「自我」、「親情」、「自殺」及「睡眠障礙」。(2)深入對「自我」及「親情」憂鬱書寫的質化分析後，發現他們不同於一般人的心理特質，其中，「自我厭惡」及「不被理解」是他們心中最難以釋懷的角落。(3)由於「自殺」、「睡眠障礙」屬於憂鬱人群特徵，經過分析發現透過主題關聯詞的共現詞組有助於辨識憂鬱人群，其中，「睡眠障礙」共現詞的憂鬱文本辨識度達74%，「自殺」共現詞的憂鬱文本辨識度達34%，未來透過機器的方式，可進一步優化該方法，提升憂鬱文本的辨識度。		zh_TW
dc.description.abstract (摘要) This research aims to answer the following questions:(1)What are the characteristics of micro-blog writing by the depressed tendency people? (2)How to identify the text in social media? Ten Wei-bo users with identified depressed tendency were chosen as starting points of snow-ball searching, and 127 users were located. A total of 20748 messages from this group of the users was collected as the dataset. Multiple methods were applied to analyze the texts: content analysis, qualitative text analysis, word frequency analysis and word co-occurrence.
The result indicated that: (1)Through the coding of the text tone, mood, theme and degree of depression, we find out that in micro blog writing, the depressive tendency uses 62% of the negative tone and 25.1% of the blue text. Among them, higher negative and degree of depression of writing subjects are "self", "family", "suicide" and "sleep disorder". (2)Through deep qualitative analysis of "self" and "affection" depressed writing, the "self loathing" and "don`t understand" in their mind are the most unforgettable. (3)Because the depressed people have the features of "suicide" and "sleep disorder", through the analysis, we find that through theme related words, it is helpful in the identification of the depression text. Among them, the "sleep disorders" co-occurrence words depressed text identification is up to 74%, and "suicide" co-occurrence words depressed text identification degree is 34 %.In the future, through the computer, we can further optimize the method, and enhance the degree of identification of depression text.		en_US
dc.description.tableofcontents 第一章 導論 6
第二章 文獻探討 12
第一節 何謂憂鬱症 12
第二節 憂鬱情緒的網路社群書寫 19
第三節 憂鬱情緒網絡書寫之意義 24
第四節 憂鬱傾向之資料考掘探索 31
第五節 小結 38
第三章 研究方法 40
第一節 資料蒐集 40
第二節 內容分析 42
第三節 質化分析 46
第四節 詞頻分析 49
第五節 詞語共現 51
第四章 資料分析 55
第一節 內容分析 55
第二節 質化分析 61
第三節 詞頻分析 71
第四節 詞語共現 74
第五節 小結 79
第五章 結論與建議 81
第一節 研究發現 81
第二節 社群媒體文本分析方法之思考 82
第三節 研究貢獻、限制及未來研究建議 84		zh_TW
dc.format.extent 2243988 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0101451029en_US
dc.subject (關鍵詞) 憂鬱人群zh_TW
dc.subject (關鍵詞) 書寫zh_TW
dc.subject (關鍵詞) 微博zh_TW
dc.subject (關鍵詞) 文本分析zh_TW
dc.subject (關鍵詞) Depressed crowden_US
dc.subject (關鍵詞) Writingen_US
dc.subject (關鍵詞) Micro-blogen_US
dc.subject (關鍵詞) Text analysisen_US
dc.title (題名) 憂鬱傾向者之微博書寫分析zh_TW
dc.title (題名) Search for Depress Tendency: An Analysis on Chinese Micro-Blog Textsen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 王宇（2012）。《走出抑鬱症：一個抑鬱症患者的成功自救》。北京：機械工業出版社。
王志青、李獻雲、張艷萍、費立鵬（2010）。〈北京綜合醫院有無自殺意念的重性抑鬱發作患者特徵比較〉，《中國心理衛生雜誌》，24(5)，334-335。
中國互聯網絡資訊中心（2014）。《2014年中國社交類應用用戶行為研究報告》。
孔繁鐘（2009）。《DSM-IV-TR精神疾病診斷準則手冊》。臺北：合記。（原書American Psychiatric Association. [2000]. Quick Reference to the Diagnostic Criteria from DSM-IV-TR, U.S.A., NV: Golden Valley.）
任喆鸝（2014）。〈憂鬱症青年患者的微博書寫分析——以「走飯」為例〉，《數位世紀傳播生態》，臺北：揚智文化。
肖水源、周亮、徐慧蘭（2005）。〈危機干預與自殺預防（二）：自殺行為的概念與分類〉，《臨床精神醫學雜誌》，15(5)，298-299。
李玉衡（2008）。〈心理健康自測不能信〉，《首都醫藥》，24-25。
吳幸宜、饒怡君、楊大和、沈永正、杜仲傑譯（2005）。《變態心理學》。臺北：桂冠圖書。（原書Christopher Peterson [1996]. The Psychology of Abnormality, Singapore, SG: Thomson Learning.）
李彥、郝多（2012年3月20日）。〈南京抑鬱症女孩自縊生前預設微博遺言〉，《人民網》。取自http://js.people.com.cn/html/2012/03/20/91473.html
李晉（2012年7月30日）。〈我國抑鬱癥患者已超3000萬未就醫率高達62.9%〉，《大公網》。取自http://www.takungpao.com/health/content/2012-07/30/content_847403.htm
何修宜譯（2001）。《憂鬱症》。臺北：智庫。（原書Robert Buckman &Anne Charlish [1999]. What You Really Need to Know about Depression, Singapore, SG: Marshall Editions.）
李磊譯（2005）。《正能量》。長沙：湖南文藝出版社。（原書Richard Wiseman [2012]. Rip It Up: The radically new approach to changing your life.）
林長順（2014年5月15日）。〈史哲維主播身亡中天惋惜〉，《人民網》。取自http://www.cna.com.tw/news/firstnews/201405155010-1.aspx
金星明譯（2000）。《歇斯底里症研究》。台北：知書房。（原書Freud,
S. &Breuer, J. [1895]. Studies on Hysteria. New York: Basic Books）
胡秉正譯（1959）。《普通心理學》。臺北：正中書局。（原書Robert S. Woodworth & Donald G. Marguis [1957]. Psychology, New York, NY: Henry Holt And Company.）
胡澤卿、劉協和、曹莉萍（1997）。〈抑鬱症的自殺未遂及其危險因素分析〉，《中華精神科雜誌》，30(2)，70-73。
徐東、張學立、李獻雲、費立鵬、曹孔敬、張艷萍、楊甫德、許永臣（2010）。〈自殺未遂者出院18個月應對方式與社會支援的病例對照研究〉，《中國神經精神疾病雜誌》，36(3)，157-160。
徐卓君、沈玎（2014年3月19日）。〈你好，抑鬱〉,《南都週刊》。取自 http://www.nbweekly.com/news/special/201403/36141.aspx
孫俊才、吉峰（2005）。〈無望理論：從病因學視角理解憂鬱〉，《中國行為醫學科學》，14(6)，566-567。
陳憶寧（2010）。〈「我」即是來源：癌症部落客的書寫研究〉，《新聞學研
究》，106：99-134。
陳俊欽（2002）。《戰勝憂鬱》。臺北：健康。
陳俊欽（2004）。《憂鬱與憂鬱症》。臺北：健康。
陳瑜、徐偉（2011年10月31日）。〈普查：中國有嚴重精神障礙患者約1600萬人〉，《鳳凰網》。取自http://tech.ifeng.com/discovery/miracle/detail_2011_10/31/10282943_0.shtml
張亞薇譯（2014）。《情緒習慣，決定你的一生：戒斷負面情緒、強化正能量的五大方法》。臺北：方智。（原書：박용철[2013].감정은습관이다.）
游和正、黃挺豪、陳信希（2012）。《領域相關詞彙極性分析及檔情緒分類之研究》。Computational Linguistics and Chinese Language Processing, 17(4), 33-48.
楊中芳（2001）。《如何研究中國人》。臺北：遠流。
蔣林（2015年4月6日）。〈抑鬱癥“肆虐”全球〉，《廣州日報》。取自http://gzdaily.dayoo.com/html/2015-04/06/content_2898214.htm
蔡篤堅（2007）。《人文、醫學與疾病敘事》。臺北：記憶工程。
劉英茂、鄭昭明、黃榮村、徐嘉宏、李美枝、劉凱申、曾華鈞、朱瑞玲、黃光國、吳英璋（1978）。《普通心理學》。臺北：大洋。
魏巧宜、馬麗菁、李中芬（2012）。<運用資料勘探方法於憂鬱症傾向之研究>，「第23屆國際資訊管理學術研討會」，高雄大學。
蘇東平(2004)。〈憂鬱症的再度檢視、省思和建議〉,《聲洋防癌之聲》,106：23-24。
蘇清菁、陳玉敏(2009)。無望感之概念分析，長庚護理，20(4)，456-462。
Abramson, L. Y., Metalsky, G. I., & Alloy, L. B. (1989). Hopelessness depression: A theory-based subtype of depression. Psychological Review, 96, 358–372.

Babbie. E.(1995). The Practice of Social Research(Seventh Edition). Belmont: Wadsworth Publishing Company.
Barelson, B.(1952).Content Analysis in Communication Research. Glencoe, III.: The Free Press.
Beck, A. T., Steer, R. A. & Kovacs, M.(1985). Hopelessness and eventual suicide, a 10-year prospective study of patients, hospitalized with suicidal ideation, Am J Psychiatry,142(5):559-563.
Bollen, Huina, M. & Xiao, J. Z.(2010)Twitter mood predicts the stock market. Journal of Computational Science, 2(1),1-8.
Breuer, Josef and Freud, Sigmund (1895/1995), Studies on Hysteria. In James Strachey (Ed.) The Standard Edition of the Complete Psychological Works of Sigmund Freud. London: Hogarth Press, Vol.2, xxxii, pp. 1–335.
Dan, Z.(1995). Depression and Culture-A Chinese Perspective. Canadian Journal of Counselling, 29(3), 227-233.
Dave Itzkoff（2014年08月12日）。〈喜劇演員羅賓•威廉姆斯去世，生前患嚴重抑鬱症〉，《紐約時報中文網》。取自http://cn.nytimes.com/obits/20140812/c12williams-update/
De Choudhury, M., Counts, S. & Horvitz, E. (2013) Pre-dicting Postpartum Changes in Behavior and Mood via Social Media.In Proc. CHI 2013, to appear.
De Choudhury, M., Mason, W. A., Hoffman, J. M.& Watts, D. J. 2010. Inferring relevant social networks from interpersonal communication. In Proc. WWW 2010.
DeSalvo, L. (1999). Writing as a way of healing. Boston, MA: Beacon Press.
Gordon, P. (1999). Face to face: Therapy as ethics. London, England: Constable.
Greene, J., Choudhry, N., Kilabuk, E.& Shrank, W. (2010). Online social networking by patients with diabetes: A qualitative evaluation of communication with Facebook. Journal of General Internal Medicine. 26(3):287-92.
House, J., Landis, K. R., & Umberson, D. (1988), Social relationship and health, Science, 241,540-545.
Kelly, A. E, Mackillop, K. J.(1996). Consequences of revealing personal secrets. Psychological Bulletin, 120(3): 450-465.
Kleinman, A. (1979). Patients and healers in the context of Culture.Berkeley, CA: University of California Press.
Kleinman (1986).Social origins of distress and disease—depression, neurasthenia, and pain in modern China. New Haven: Yale University Press.
Lazarus, R. S. (1991). Emotion and adaptation. New York: Oxford University Press.
Li, M. (1993). The history of psychology in China.Canadian Psychology, 34, 409.
Mann, D. W. (1991). "Ownership: A Pathography of the Self."British Journal of Medical Psychology, 64, 211-223.
Megan, A. M., Lauren, A. J., Katie, G. E., Elizabeth, C., Henry, Y., Kerry, E. G. & Tara, B. (2011). Depress Anxiety, 28(6), 447-455.
Michael, J. P. & Mark, D. (2011). You Are What You Tweet: Analyzing Twitter for Public Health. Association for the Advancement of Artificial Intelligence (www.aaai.org).
Michael, R. P., Jingxuan, Z., Qichang, S., Zhijie, D., Shutao, P., Xianyun, L., Yali, Z., &Zhiqing, W. (2009). Prevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001-05: an epidemiological survey. The Lancet, Vol. 373, Jun 2009, 2041-2053.
Michael, R. P., Xianyun, L., & Yanping, Z.(2002). Suicide rates in China, 1995-99. The Lancet, Vol. 373, Jun 2009, 2041-2053.
Miller, T.E. &Reents, S.: The health care industry in transition. The online mandate to change. New York, Cyber Dialogue, 1998.
Minsu, P., Chiyoung, C.& Meeyoung, C. (2012). Depressive Moods of Users Captured in Twitter.In Proc. ACM SIGKDD Work-shop on Healthcare Informatics (HI-KDD).
Munmun, D. C., Michael, G., Scott, C. & Eric, H. (2013) Predicting Depression via Social Media.
Munmun, D. C., Scott, C.& Michael, G. (2012) Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media. Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media, 66-73.
Orbach, I. (1989). Familial and intrapsychic splits in suicidal adolescents. American Journal of Psychotherapy, July XLIII(3), 356-367.
Papacharissi, Z. (2007). Audience as media producers: Content analysis of 260 blogs. In M. Tremayne (Ed.), Blogging, citizenship, and the future of media (pp. 21-38). New York, NY:Routledge.
Pennebaker, J. W. (1990). Opening up: The healing powers of confiding in others. New York, NY: Morrow.
Pennebaker, J. W. (1997). Opening Up: The healing power of expressing emotion. New York, NY: Guilford.
Phillips, D. P.(1974)The influence of suggestion on suicide: Substantive and theoretical implications of the Weather effect.American Sociological Review, Vol. 39(3), Jun 1974, 340-354.
Robinson, J., Rodrigues, M., Fisher, S.& Herrman, H. (2014). Suicide and Social Media: Findings from the Literature Review, Young and Well Cooperative Research Centre, Melbourne.
Science Panel on Interactive Communication and Health. (1999)Wired for Health and Well-Being: The Emergence of Interactive Health Communication. Washington, DC, US Department of Health and Human Services, 1999.
Shaver, P. R., Wu, S.& Schwartz, J. C. (1992). Cross-cultural similarities and differences in emotion and its representation. In M. S. Clark (Ed.), Emotion: Review of personality and social psychology (pp. 175-212). Newbury Park, CA: Sage.
Stephanie, S. R., Eva-Maria, G.& James, W. P. (2004). Language use of depressed and depression-vulnerable college students.COGNITION AND EMOTION, 18(8), 1121-1133.
Thomas, D. R., Gary, M. H., Garyfalia, A., Michael, J. T. & Nadja, F. (2011). Suicide Announcement on Facebook.Crisis, 32(5), 280-282.
Thomas, E. J. (1999) The Clustering and Contagion of Suicide, Psychological Science, June 1999, vol. 8, no. 3 89-92.
Thomas, K. H., Lisa, A. C., Hong, T. V., Joel, K. & Janice T. (2001). Screening the Public for Depression Through the Internet. Psychiatric Services, 52(3), 362-367.
Tseng, W. S. (1975). The nature of somatic complaints among psychiatric patients: TheChinesecase. Comprehensive Psychiatry, 16, 237-45.
Turkle, S. (1995). Life on the screen: Identity in the age of the Internet. New York, NY: Simon & Schuster.
Vance, K., Howe, W.& Dellavalle, R. P. (2009). Social internet sites as a source of public health information. Dermatologic Clinics 27(2):133-136.
Walker, L. & Avent, K. (1995). Strategies for theory construction in nursing(3rd ed.). London: Appleton Lange.		zh_TW