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題 名 | 以文字探勘技術探究部落格之網路媒體特性=Defining the Online Media Characteristics of Blogs Using a Text-Mining Technique |
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作 者 | 施百俊; 施如齡; | 書刊名 | 淡江人文社會學刊 |
卷 期 | 28 民95.12 |
頁 次 | 頁95-122 |
分類號 | 312.1693 |
關鍵詞 | 部落格; 文字探勘; 自我組織映射圖; 網路社群管理; 媒體特性; Blog; Text-mining; Self-organizing map; Online community management; Media characteristics; |
語 文 | 中文(Chinese) |
中文摘要 | 部落格以新興傳播媒介的姿態,成為近年來網路使用者的新寵。任何團體與個人都得以利用簡易便利、成本低廉的網路工具,圖文並茂地發表意見、記錄事件、溝通分享,以及論述出版。 為探究其媒體特性,本研究從社群經營與傳播效應的角度,利用文字探勘技術中的類神經網路演算法,搜集並分析臺灣新浪網上三百個部落格的文章內容,試圖理解部落格與傳統大眾傳播媒體的異同。研究結果發現,部落格之非內容屬性並不影響部落格的受歡迎程度,並有網路社群大者恆大的效應;而其成功的關鍵因素在於其文章內容的意識與深度。 |
英文摘要 | The blog, as a popular new online communication medium, has become an alternative publication type, which any individual or group can easily and inexpensively use to present textual and graphical materials online. Using this tool, they can articulate, document, communicate, and distribute ideas. In order to investigate its media characteristic, this research used the text-mining self-organizing map technique to survey the articles in 300 blogs in Sina, Taiwan, trying to identify similarities and difference between them and the traditional mass media from two aspects, including the social community management strategies and communication effects. The research found that the non-content-related variables, including the length and number of articles, upload frequency, graphic usage, author identification and gender, did not influence a blog's popularity. What really mattered was its content-related variables, such as the categories of blogs and articles. |
本系統中英文摘要資訊取自各篇刊載內容。