過去的研究已指出新聞媒體在資訊傳播中的多元角色及其複雜影響力，但除了對於不同國家的跨媒體之間的議題設定研究仍相對較少，過去討研究也多利用深度訪談法與人工編碼的內容分析法來討論中國勢力是如何影響臺灣媒體的新聞自由。本研究旨在彌補這一研究缺口，探討2020年至2023年間，中國與臺灣媒體在疫情新聞報導中的新聞主題與報導量變化是否存在相關性。
　　本研究蒐集了2020年至2023年間，中國官方媒體人民日報和臺灣本土新聞機構中時新聞網、聯合新聞網、自由時報電子報的疫情新聞報導資料，並利用文字探勘技術主題模型探討這期間內的臺灣疫情新聞主題，以及餘弦相似度比較人民日報與臺灣3大報在同時期的新聞內容相似度。為了更好地釐清兩岸媒體對臺灣疫情新聞的報導量變化，本研究再進一步將歸納出來的主題，根據內容相似性進行二次編碼，再透過固定效果迴歸模型控制了各種變數，包括新聞發表的時期、新聞機構，來探討不同新聞主題下，人民日報的報導量是如何影響到隔天臺灣3大報在相同主題下的疫情新聞報導量。
　　研究結果顯示，人民日報在某些主題上，確實與臺灣3大報的特定主題採用了相似的用字遣詞，然而進一步分析主題模型的關鍵字後仍可觀察到即使中時新聞網與聯合新聞網立場親中，在內容上仍將人民日報的內容幽微地轉化成自身的觀點，並非完全複製貼上；而自由時報電子報則基於機構立場產生主題一致但內容大相逕庭的現象。在報導量方面，臺灣3大報會基於其讀者特性與報導策略，而對人民日報的主題有不同反應。中時新聞網會提高兩岸關係主題的報導，在中國疫情與中國政府政績上減少報導。聯合新聞網會在中國政府政績上增加報導，減少兩岸關係的報導，對中國疫情主題則減少報導。自由時報因讀者特性，在兩岸關係與中國政績主題在統計上不顯著，不隨之起舞。

　　This study aims to explore the correlation between news topics and reporting volumes of Chinese and Taiwanese media during the COVID-19 pandemic from 2020 to 2023 with text mining techniques.
　　In this study, pandemic news data was collected from People’s Daily and Taiwanese media CTN, UDN, and LTN. Topic modeling was used to identify themes in Taiwan’s pandemic news, and cosine similarity measured content similarity between People’s Daily and the three Taiwanese media. To clarify reporting volume variations, themes were re-encoded based on topic similarity. A fixed-effects regression model controlled for variables such as publication period, news media to examine how People's Daily's coverage on various topics influenced the next-day reporting volume on the same topics by Taiwan's three newspapers.
　　The results showed that People's Daily did indeed use similar wording to Taiwan's three major press on certain topics. However, further analysis of the keywords in the topic models revealed that, although CTN and UDN are pro-China, they subtly transformed the content from People's Daily into their own perspectives rather than copying it verbatim. In contrast, LTN, based on its institutional stance, exhibited thematic consistency but significant content divergence. Regarding to the reporting volume, every press reacts differently to the themes presented by the People's Daily, based on their audience and strategies. CTN increases its coverage on cross-strait relations. UDN increases reports on China's government achievements. LTN does not show significant statistical changes in reporting.

論文審定書i
誌謝ii
摘要iii
Abstractiv
目錄v
圖次vii
表次viii
第一章、研究背景與研究問題1
第二章、文獻探討4
第一節、大眾傳播、口碑傳播與電子口碑4
第二節、大眾媒體與口碑傳播界線6
第三節、影響媒體發表新聞的因素9
第四節、資訊戰、心理戰與認知作戰14
第五節、中國政府大宣傳與媒體外交16
第三章、COVID-19疫情在臺灣的發展20
第一節、新型冠狀病毒 COVID-19介紹20
第二節、臺灣的新冠疫情狀況21
第三節、本研究疫情新聞界定26
第四章、研究方法27
第一節、資料來源與蒐集方式27
第二節、資料前處理28
第三節、主題分析（top analysis）29
第四節、餘弦相似度（cosine similarity）31
第五節、固定效果迴歸分析（Fixed Effects Regression Model）32
第五章、研究結果33
第一節、資料蒐集與斷詞結果33
第二節、主題模型結果35
第三節、餘閒相似度結果40
第四節、二次編碼分類42
第五節、臺灣媒體報導量分析46
第六章、結論與未來發展52
第一節、結論52
第二節、研究限制與未來發展53
參考文獻56
附錄一、主題模型結果84
附錄二、餘弦相似度結果140

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