臺灣媒體報導新冠肺炎假訊息危機：混合法分析科技防疫之個資、隱私、資安議題

Abstract

本混合法研究檢視2020年初臺灣媒體報導新冠肺炎疫情假訊息內容，分析數位防疫之個資、隱私與資安議題呈現趨勢及新聞框架運用。大數據分析顯示：有別於西方報導，臺灣疫情假訊息新聞甚少關注防疫個資與隱私，對資安議題較為重視。公衛危機新聞框架內容分析結果發現：科技防疫報導最常用行動框架，後果與保證框架次之，負面框架（衝突與不確定）較少。個資、隱私和資安報導，及大部分新聞框架選擇，隨著疫情時期變化，呈現顯著性差異。  As COVID-19 was the first global pandemic of the digital age, many countries utilized information technologies and big data as technological epidemic prevention measures which led to controversies regarding personal data misuse, privacy invasion, and security risks. The mixed-method study used big data and content analysis to examine Taiwanese news reports related to personal data, privacy, and security issues in early COVID-19 outbreak. In contrast to Western studies, the results revealed that Taiwanese media reports, under infodemic influences, emphasized the importance of data security over that of protecting personal data and data privacy. Based on news framing of public health crisis, content analysis results showed the dominant use of action framing was followed by consequence and assurance framing, whereas negative framing (conflict and uncertainty) was rarely employed. The news reports about personal data, privacy, and security found statistical differences among three epidemic periods, as did their selection of news framing.