娛樂新聞圖文設計之研究-以《蘋果新聞網》為例

Abstract

現今是閱聽者至上的的新媒體時代，網路新聞跟過去紙媒操作模式大不相同。想要在每天數百上千條新聞中脫穎而出獲得觸及讀者的機會以得到流量，新聞標題、照片第一眼就必須先吸引讀者目光。所以，在即時新聞產製過程中，下標及選照便成為編輯的工作重點，故本論文研究問題有下列兩點：一、現今娛樂新聞標題製作、圖片選擇與設計之各項優化指標。二、娛樂新聞網頁新聞呈現視覺編排之探討。本研究以筆者在《蘋果日報》報社16年編輯台工作經驗，以報社旗下網路媒體—《蘋果新聞網》娛樂新聞為研究調查範圍，對娛樂即時新聞的下標方式以及選用照片標準做通盤暸解，耕讀文獻找出變項，透過符號學闡釋圖文的意義，進而引申應用。並以「德菲法」相請新聞媒體產業專家做問卷施測，統整出48項編輯在出版娛樂即時新聞時，圖片設計與標題最佳化之參考指標。關鍵字：蘋果新聞網、娛樂新聞、標題最佳化、圖片設計、視覺編排、德菲法

Today is a new media era where the audience is supreme. Online news is very different from the past paper-based media operations. If you want to stand out from hundreds or thousands of news items every day to gain access to readers and gain traffic, news headlines and photos must first attract readers' attention at first glance. Therefore, in the process of real-time news production, subscripting and photo selection have become the focus of the editor's work. Therefore, the research questions of this thesis have the following two points: 1.Various optimization indexes of current entertainment news headline production, picture selection and design. 2. Discussion on the visual arrangement of news presentation on entertainment news webpages. This study uses the author’s 16years of working experience in the editorial desk of the"Apple Daily" newspaper, and takes the newspaper’s online media-"Apple News Network" entertainment news as the scope of research and investigation, and makes a comprehensive analysis of the subscript method of entertainment real-time news and the selection of photo standards. Understand, read the literature to find out the variables, explain the meaning of the pictures and texts through semiotics, and then extend the application. In addition, experts in the news media industry were invited to conduct a questionnaire survey based on the"Defi method", and 48 items were compiled as reference indicators for editors to optimize the picture design and title optimization when publishing entertainment instant news.

Keyword: Apple Online, Entertainment News, Headline Optimization, Picture Design, Visual Choreography, Delphi Method