電視選舉新聞中的政黨偏差： 以2022年台北市長選舉為例

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Title:	電視選舉新聞中的政黨偏差：以2022年台北市長選舉為例 Political Party Bias in Television Election Campaign News Coverage: A Case of the 2022 Taipei Mayoral Election
Authors:	唐澤洋 Tang, Tse-Yang
Contributors:	新聞學系
Keywords:	政治偏差台北市長選舉內容分析法候選人行銷競選傳播政治行銷 political bias Taipei mayoral election Content analysis candidate marketing election campaign communication political marketing
Date:	2024
Issue Date:	2024-11-15 15:52:29 (UTC+8)
Abstract:	本研究旨在探討2022年台北市長選舉期間，電視新聞報導中對於不同政黨的偏差情況。透過內容分析法，本研究選取了中天及三立兩家電視台在選舉前一個月內的新聞報導，各自抽取十五天共437則的新聞進行分析。研究結果顯示，在這段期間內，這兩家電視台在報導台北市長選舉相關新聞時均存在政黨偏差行為。具體而言，中天電視台的報導傾向支持國民黨候選人蔣萬安，而三立電視台則表現出對民進黨候選人陳時中的偏好。此外，研究中亦發現無黨籍候選人黃珊珊在兩家電視台的報導中並未受到特別的偏差對待。這一發現指出台灣選舉新聞報導中存在的媒體偏差問題，且這種偏差可能會影響公眾對候選人的認知和選舉結果。本研究的結果對於理解台灣地區媒體如何在選舉期間塑造政治信息具有重要意義，並提醒了公眾和政策制定者對於媒體偏差的認知和其可能的影響。 The purpose of this study is to examine the bias of television news reports towards different political parties during the 2022 Taipei mayoral election. By means of content analysis, this study selected fifteen days of news reports from each of the two television stations, CTI and SET, during the one-month period before the election. The results of this study show that during this period of time, both TV stations had political party bias behaviors when reporting news related to the Taipei mayoral election. Specifically, CTI's coverage tended to support KMT candidate Chiang Wan-An, while SET TV showed a preference for DPP candidate Chen Shi-Chung. In addition, the study also found that unaffiliated candidate Huang Shan-Shan did not receive any special bias in the coverage of the two news channels. This finding points to the problem of media bias in Taiwan's election news coverage, and that such bias may affect public perceptions of candidates and election outcomes. The results of this study are important for understanding how the media in Taiwan shape political messages during elections and alert the public and policy makers to the perception of media bias and its possible effects.
Appears in Collections:	[Department of Journalism & Graduate Institute of Journalism] thesis

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