English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109296/140321 (78%)
Visitors : 43571675      Online Users : 766
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 傳播學院 > 新聞學系 > 會議論文 >  Item 140.119/133201
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/133201

    Title: 不要講幹話!初探台灣社群媒介中的「謗王」現象
    Stop Jiang Gan Hua! Tentatively Probe into the Phenomenon of `Slandering the King in Taiwan`s Social Media
    Authors: 柯籙晏
    Contributors: 新聞系
    Keywords: 惡言相向;髒話;義憤;溝通理性;文字探勘;講幹話
    verbal aggression;profanity;anger at injustice;communicative rationality;text mining;jiang gan hua (bullshit)
    Date: 2018-06
    Issue Date: 2020-12-21 15:44:00 (UTC+8)
    Abstract: 無論古典文獻或現代理論都指出,在權力不對等的情況下,人民出於義憤而對統治者惡言相向,未必就是缺乏溝通理性。為瞭解台灣「謗王」的實際情況,本研究透過文本探勘與論述分析,檢視行政院長賴清德發表「照護員功德說」的前後一星期,即 2017 年 11 月 18 日至 30 日之間,賴清德院長與蔡英文總統的臉書粉絲專頁資料。
    Both the classical literature and the modern theory point out that in the case of unequal power, people who are angered by the injustice will verbal aggression on rulers. This is not a lack of communication rationality. In order to understand the current phenomenon of "slandering the king" in Taiwan, this article studies the fan page data of Lai Ching Tak and Tsai Ing-wen through the method of text mining and discourse analysis. The time for generating this data is between November 18 and November 30, 2017.
    Relation: 2018中華傳播年會, 中華傳播學會
    Data Type: conference
    Appears in Collections:[新聞學系] 會議論文

    Files in This Item:

    File Description SizeFormat
    356.pdf1228KbAdobe PDF2114View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback