用方法說故事：探析電腦輔助文本分析工具在框架研究之應用

Telling Stories with Different Methods: Exploring the Use of Computational Analysis Tools on Framing Research

10.6123/JCRP.2017.018

盧安邦(Lu, An-Pang)；鄭宇君(Cheng, Yu-Chung)

社群運算 ； 詞頻分析 ； 詞語共現 ； 情緒分析 ； 框架 ； 議題設定 ； social computing ； word-frequency analysis ； co-occurrence analysis ； sentiment analysis ； framing ； agenda setting

傳播研究與實踐

7卷2期（2017 / 07 / 01）

145 - 178

繁體中文

人文社會領域「向運算轉」後，「讓資料說話」成為一股新的風潮，然而資料如何能說故事？本文以電腦輔助處理大量社群媒體文本資料為例，說明在資料蒐集、處理及分析過程中，須經各種文本分析工具的內在邏輯及研究者介入，資料的意義方得浮現。本文使用詞頻分析、詞語共現、情緒分析工具及質性框架分析法等文本分析工具，對同一組社群媒體文本資料集進行研究，結果發現個別分析工具確實為研究者帶來不同洞見，卻也各自存在侷限。因而，本文認為電腦輔助的文本分析方法在資料篩選、分析、詮釋的過程中，皆需研究者介入進行調整，結合多重方法的研究設計則可協助研究者從文本資料中找出意義框架，說出一則好故事。

As the slogan ＂let the data speak for itself＂ gains currency, it becomes important to reconsider the role of the researcher. This study tries to explore the intertwined relationships among data, tools and researchers. In this study, we review the literature on agenda-setting research and framing research, with a particular focus on research methods and analysis tools. To investigate the use of different analysis tools to study media/public issues, this article introduces three analysis tools, word-frequency analysis, co-occurrence analysis, and sentiment analysis, in addition to the qualitative frame analysis method. We find that different analysis tools tell different stories and researcher choices are always important across different research periods. We think that if researchers consider the results obtained using different tools, they will be able to devise a more comprehensive research structure. Therefore, in this article we suggest that researchers apply multiple tools to their data during the pilot study phase.

1. 李紅豔、劉碧瑤(2014)。地方媒體對群體性事件的解讀─以「上海普陀事件」與「廣州增城事件」的報導為例。新聞學研究，120，79-119。
   連結：
2. 陳百齡、鄭宇君(2014)。從流通到聚合：重大災難期間浮現的資訊頻道。新聞學研究，121，89-125。
   連結：
3. 陳韻如(2011)。保護誰的生命？秘魯婦女運動公共議題的新聞框架。新聞學研究，109，121-166。
   連結：
4. 鄭宇君(2014)。向運算轉：新媒體研究與資訊技術結合的契機與挑戰。傳播研究與實踐，4，67-83。
   連結：
5. 謝君蔚、徐美苓(2011)。媒體再現科技發展與風險的框架與演變：以基因改造食品新聞為例。中華傳播學刊，20，143-179。
   連結：
6. 崔愫欣（2011 年9 月20 日）。〈臺灣反核運動的歷史與策略（ 從1980 至2011）〉，《苦勞網》。取自http://www.coolloud.org.tw/node/64150
7. Adedoyin-Olowe, M.,Gaber, M. M.,Stahl, F.(2014).A survey of data mining techniques for social network analysis.Journal of Data Mining & Digital Humanities
8. Anstead, N.,O'Loughlin, B.(2014).Social media analysis and public opinion: The 2010 UK general election.Journal of Computer-Mediated Communication
9. boyd, D.,Crawford, K.(2012).Critical questions for big data.Information, Communication & Society,15,662-679.
10. Burgess, J.,Bruns, A.(2012).(Not) the twitter election: The dynamics of the #ausvotes conversation in relation to the Australian media ecology.Journalism Practice,6,384-402.
11. Church, K. W.,Hanks, P.(1990).Word association norms, mutual information, and lexicography.Computational Linguistics,16,22-29.
12. D'Angelo, P.(Ed.),Kuypers, J.(Ed.)(2009).Doing news framing analysis: Empirical, theoretical, and normative perspectives.New York, NY:Routledge.
13. Delanty, G.(1997).Social science: Beyond constructivism and realism.Buckingham, UK:Open University Press.
14. Entman, R.(1993).Framing: toward clarification of a fractured paradigm.Journal of Communication,43(4),51-58.
15. Entman, R.,Rojecki, A.(1993).Freezing out the public elite and media framing of the U.S. anti-nuclear movement.Political Communication,10,155-173.
16. Fellbaum, C.(1998).WordNet.Hoboken, NJ:Blackwell.
17. Geertz, C.(1973).The interpretation of cultures: Selected essays.New York, NY:Basic Books.
18. Gold, M. K.(Ed.)(2012).Debates in the digital humanities.Minneapolis, MN:The University of Minnesota Press.
19. Graves, I.,McDonald, N.,Goggins, S.(2014).Sifting signal from noise: A new perspective on the meaning of tweets about the "big game".New Media Society
20. Groshek, J.,Al-Rawi, A.(2013).Public sentiment and critical framing in social media content during the 2012 U.S. presidential campaign.Social Science Computer Review,31,563-576.
21. Hassid, J.(2012).Safety valve or pressure cooker? Blogs in Chinese political life.Journal of Communication,62,212-230.
22. Himelboim, I.,Sweetser, K. D.,Tinkham, S.,Cameron, K.,Danelo, M.,West, K.(2014).Valence-based homophily on twitter: Network analysis of emotions and political talk in the 2012 presidential election.New Media Society,1-19.
23. Huang, C.,Hsieh, S.,Hong, J.,Chen, Y.,Su, I.,Chen, Y.(2010).Chinese Wordnet: Design, implementation, and application of an infrastructure for crosslingual knowledge processing.Journal of Chinese Information Processing,24(4),14-23.
24. Iser, W.(1972).The reading process: A phenomenological approach.New Literary History,3,279-299.
25. Ku, L.,Chen, H.(2007).Mining opinions from the web: Beyond relevance retrieval.Journal of American Society for Information Science and Technology,58,1838-1850.
26. Lewis, S. C.,Zamith, R.,Hermida, A.(2013).Content analysis in an era of big data: A hybrid approach to computational and manual methods.Journal of Broadcasting & Electronic Media,57,34-52.
27. Liu, B.(2012).Sentiment analysis and opinion mining.Synthesis Lectures on Human Language Technologies
28. Mahrt, M.,Scharkow, M.(2013).The value of big data in digital media research.Journal of Broadcasting & Electronic Media,57,20-33.
29. McCombs, M.(2005).A look at agenda-setting: Past, present and future.Journalism Studies,6,543-557.
30. McCombs, M.,Shaw, D.(1972).The Agenda-setting function of mass media.Public Opinion Quarterly,36,176-187.
31. Neuman, W. R.,Guggenheim, L.,Jang, S. M.,Bae, S. Y.(2014).The dynamics of public attention-agenda-setting theory meets big data.Journal of Communication,64,193-214.
32. Small, T. A.(2011).What the hashtag? A content analysis of Canadian politics on Twitter.Information, Communication & Society,14,872-895.
33. Sniderman, P. M.,Brody, R. A.,Tetlock, P. E.(1991).Reasoning and choice: Explorations in political psychology.Cambridge, UK:Cambridge University Press.
34. Song, Y.(2007).Internet news media and issue development: A case study on the roles of independent online news services as agenda-builders for anti-US protests in South Korea.New media & Society,9,71-92.
35. Stubbs, M.(2001).Words and phrases: Corpus studies of lexical semantics.Oxford, UK:Blackwell.
36. Tiessen, M.,McKelvey, F.,Simcoe, L.(2015).A consensual hallucination no more? The Internet as simulation machine.European Journal of Cultural Studies,18,577-594.
37. Turney, P. D.(2002).Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews.Proceedings of the 40th annual meeting of the Association for Computational Linguistics,Stroudsburg, PA:
38. Wan, X.(2009).Co-training for cross-lingual sentiment classification.Proceedings of the Joint Conference of the 47th annual meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP,Stroudsburg, PA:
39. Yuan, E. J.,Feng, M.,Danowski, J. A.(2013)."Privacy" in semantic networks on Chinese social media: The case of Sina Weibo.Journal of Communication,63,1011-1031.
40. Zhou, Y.,Moy, P.(2007).Parsing framing processes: The interplay between online public opinion and media coverage.Journal of Communication,57,79-98.
41. 王石番(1990)。傳播內容分析法：理論與實證。臺北，臺灣:幼獅文化。
42. 林俊宏譯、Mayer-Schönberger, V.、Cukier, K.(2013)。大數據。臺北，臺灣:天下文化。
43. 洪漢鼎(1995)。語言學的轉向─當代分析哲學的發展。臺北，臺灣:遠流。
44. 陳憶寧(2002)。公共議題之遊戲框架初探：以核四議題為例。新聞學研究，72，85-117。

1. 唐士哲(Shih-che Tang)(2023)。通衢大道與破碎地景：網路資料中心的政治經濟意涵。臺灣傳播學刊。(44)。181-216。