本研究目的在於分析我國中央流行疫情指揮中心在2020年成立的第一年內，新冠肺炎(COVID-19)網路新聞資訊的內容呈現方式與其在科學教育的意涵。研究者依照國內新聞網站流量標準，選擇《ETtoday新聞雲》、《自由時報》以及《三立新聞網》等三家網路電子報作為分析目標，蒐集國內中央流行疫情指揮中心成立第一年期間(2020年1月至2021年1月)，前述各平臺所報導有關「新冠肺炎」相關的科學新聞共236則，運用內容分析法進行分析。研究結果發現：一、在疫情新聞所呈現的寫作論述框架中，比例依序為「證據」(54.15%)、「主張」(41.55%)與「推理」(4.30%)，其中與「推理」框架直接有關的理論、模型與限制等探究歷程元素都低於3%；二、疫情新聞的寫作論述框架順序多以「證據」框架起始敘寫，常以現象與資訊來源等探究歷程元素開始報導；三、網路電子報提供原始文獻出處的連結比例偏低，而記者在其轉譯資訊的過程中也會出現一些錯誤，例如出現「主張」型錯誤(報導內容出現其他專業人士延伸的議題，而非原來引用文獻的內容)；「證據」型錯誤(報導內容另外添加研究內容的樣本類型)；以及「推理」型錯誤(報導內容將原始數據另做運算而得到另外的結論)。

The purpose of this study was to explore the content analysis results and educational 
implications of the internet news information regarding COVID-19. The three most popular 
website in Taiwan were chosen to collect the COVID-19 related news information for analysis. 
The research period was from January 2020 to January 2021. The content analysis was used 
for data analysis. The results show that (1) the most often used writing frames were “evidence” 
(54.15%), followed by “claim” (41.55%) and “reasoning” (4.30%) during which the elements of 
theory, model and limits were less than 3%. (2) The most used starting frame was “evidence”, 
and the elements of phenomenon and source information were the two common starters. (3) The 
errors happened during translation from original report to domestic reports were found to have 
three types of mistakes which included the dimensions of claims, evidence and reasoning.

內容分析;  新冠肺炎;  網路新聞

Content Analysis; COVID-19; Internet News