語料庫輔助的媒體論述分析：以台灣平面媒體中國夢報導為語料的實證研究
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國立交通大學傳播與科技學系
台灣資訊社會研究學會
Department of Communication & Technology at National Chiao Tung University
Taiwan Academy for Information Society.
台灣資訊社會研究學會
Department of Communication & Technology at National Chiao Tung University
Taiwan Academy for Information Society.
DOI
10.29843/JCCIS.202001_(38).0005
Abstract
本研究探討語料庫輔助媒體論述分析（CADS）的相關概念及應用，研究者以台灣四家平面媒體1,100篇關於「中國夢」報導建置成語料庫作為分析案例。本研究從語料庫分析的理論包括詞頻統計、共現詞分析及語境脈絡分析等出發，探討CADS觀點如何進行文本的客觀主題定位、字彙韻律結構發掘及關鍵節點字彙的語用牽涉分析。本研究同時搭配再脈絡化、命名、參考、比較等論述分析的理論觀點，對範例語料庫文本進行深度詮釋。透過CADS分析脈絡，本文提出從微觀字詞分析到巨觀的論述分析的文本分析模式。
The paper explores aspects and applications of corpus-assisted discourse studies(CADS). 1100 reports that include ＂the China Dream＂ from the four major Taiwanese newspapers were collected as a corpus to demonstrate my analysis. A corpus linguistic method enables the researcher to map dominant issues in news reports, probe semantic prosody and analyze ＂aboutness＂ of text via examinations of keywords in context. A subsequent analysis with different aspects of discourse approaches including recontextualization, naming, referencing, comparing allow further exploration of the texts. Based on the process of CADS, this paper proposes a framework of textual analysis that looks into a micro-level of lexis and could reveal a macro-level of discursive structure.
The paper explores aspects and applications of corpus-assisted discourse studies(CADS). 1100 reports that include ＂the China Dream＂ from the four major Taiwanese newspapers were collected as a corpus to demonstrate my analysis. A corpus linguistic method enables the researcher to map dominant issues in news reports, probe semantic prosody and analyze ＂aboutness＂ of text via examinations of keywords in context. A subsequent analysis with different aspects of discourse approaches including recontextualization, naming, referencing, comparing allow further exploration of the texts. Based on the process of CADS, this paper proposes a framework of textual analysis that looks into a micro-level of lexis and could reveal a macro-level of discursive structure.