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題名 社群媒體災難新聞報導與閱聽人留言情緒之研究:以俄烏戰爭為例
Emotions of Audience Comments towards Disaster Reporting on Social Media: Case Study of Russia-Ukraine War
作者 江曉琳
Kwong, Hiu-Lam
貢獻者 許志堅
Sheu, Jyh-Jian
江曉琳
Kwong, Hiu-Lam
關鍵詞 俄烏戰爭
災難傳播
情緒反應
社群媒體新聞
厚數據分析
Russia-Ukraine War
disaster communication
emotional responses
social media news
thick data analysis
日期 2024
上傳時間 1-Mar-2024 13:50:50 (UTC+8)
摘要   2022年2月,俄羅斯正式宣布向烏克蘭展開軍事行動,俄烏戰爭隨即爆發,戰事至今造成多人死傷,烏克蘭當地飽受戰火摧殘,生靈塗炭、民不聊生。由於俄烏關係與台海兩岸的歷史脈絡具有相似點,俄烏戰爭受到台灣社會廣泛重視,部分支持者打著「今日烏克蘭,明日台灣」的旗號,呼籲民眾關注戰爭局勢並聲援烏克蘭。烏克蘭總統澤倫斯基亦憑著抵抗敵國的決心,獲美國《時代》雜誌選為2022年的風雲人物。   本研究以俄烏戰爭作為一個災難的例子,結合大數據和人工介入的厚數據方法,分析社群媒體上的戰亂新聞報導及閱聽人的情緒反應。本研究從六家台灣媒體的Facebook新聞粉專(包括《中國時報》、《聯合報》、《自由時報》、《東森電視》、《三立電視》及《TVBS》)蒐集俄烏戰爭相關報導貼文與留言,首先進行大數據的資料統計;接下來,本研究從資料出篩選出「俄烏戰爭局勢發展」與「澤倫斯基相關議題」等兩個議題的報導貼文,以厚數據方法進行新聞主題類目、情緒類型及情緒表達對象之分類,旨在以戰爭階段、新聞主題、個別媒體等三個維度,比較閱聽人的情緒反應差別。   本研究的分析結果指出,俄烏戰爭的新聞報導主要集中在戰爭初期,儘管過後有個別重要事件使報導數量一度急升,仍然無法達至戰爭初期的水平。不論在戰爭的哪個階段,「嘲諷」仍然是最主要的閱聽人情緒反應,當中在「俄烏戰爭局勢發展」的報導下,閱聽人普遍對烏克蘭感「熱情」、對俄羅斯感「憤怒」。在新聞主題方面,大部分主題依舊由「嘲諷」情緒主導,對象則根據主題而定。研究比較不同媒體的閱聽人情緒反應後發現,閱聽人可分為「順應政府立場」和「抗拒政府立場」兩類型,前者可見於「泛綠」或「中立」為主要受眾的媒體,在戰爭中支持烏克蘭一方;後者可見於「泛藍」受眾為主的媒體,傾向對烏克蘭冷嘲熱諷。
  In February 2022, Russia officially announced the special military operation in Ukraine, which indicated the outbreak of Russia-Ukraine War. Since then, the warfare has caused thousands of people to get injured, lose their home, and even get killed. On the other side of the world, people in Taiwan are paying attention to the war because there are similarities in historical contexts between Russia-Ukraine and Taiwan Strait relationships. Some supporters aim at pursuing others to focus on the war, by pointing out “Today’s Ukraine, tomorrow’s Taiwan”. Volodymyr Zelenskyy, the President of Ukraine, has been elected as Person of the Year by Time magazine in 2022, muchly due to his determination to protect his country from invasion.   Taking Russia-Ukraine War as a disaster example, this research aims at analyzing war news reports and emotional responses of audience on social media, by a combination of big data and thick data methodologies. Such news reports and comments have been collected from six Taiwanese media, including ChinaTimes, United Daily News, Liberty Times, Eastern Television, Sanlih Television and TVBS. At first, big data analysis has been performed. Then, two issues, “Russia-Ukraine War development” and “Zelenskyy-related topic”, has been selected for further thick data analysis, which includes identifying news themes, types of emotion and targets of emotion expressed. At the end, differences of audience’s emotions can be compared by using stage-of-war, news theme and media dimensions.   Results reveal that news reports of Russia-Ukraine War concentrate at the early stages of war. Although the number of reports surged up occasionally during the progress, it cannot reach the same level at the early stages. From the stage-of-war dimension, “satire” is the major emotional responses of audience in every stage of war. On the issue of “Russia-Ukraine War development”, audience feel “enthusiastic” towards Ukraine and “angry” towards Russia in general. Speaking of news theme, “satire” is still the dominating emotion, and the targets of emotion expressed depend on themes. By comparing emotional responses in different media, this research identifies two types of audience: “conformist” and “resistists”. Conformists join government’s stance to support Ukraine, and are probably the audience of pan-Green or neutral media. On the other hand, resistists tend to be readers of pan-Blue media, and they usually satirize the situation in Ukraine.
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描述 碩士
國立政治大學
傳播學院傳播碩士學位學程
110464058
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0110464058
資料類型 thesis
dc.contributor.advisor 許志堅zh_TW
dc.contributor.advisor Sheu, Jyh-Jianen_US
dc.contributor.author (Authors) 江曉琳zh_TW
dc.contributor.author (Authors) Kwong, Hiu-Lamen_US
dc.creator (作者) 江曉琳zh_TW
dc.creator (作者) Kwong, Hiu-Lamen_US
dc.date (日期) 2024en_US
dc.date.accessioned 1-Mar-2024 13:50:50 (UTC+8)-
dc.date.available 1-Mar-2024 13:50:50 (UTC+8)-
dc.date.issued (上傳時間) 1-Mar-2024 13:50:50 (UTC+8)-
dc.identifier (Other Identifiers) G0110464058en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/150198-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 傳播學院傳播碩士學位學程zh_TW
dc.description (描述) 110464058zh_TW
dc.description.abstract (摘要)   2022年2月,俄羅斯正式宣布向烏克蘭展開軍事行動,俄烏戰爭隨即爆發,戰事至今造成多人死傷,烏克蘭當地飽受戰火摧殘,生靈塗炭、民不聊生。由於俄烏關係與台海兩岸的歷史脈絡具有相似點,俄烏戰爭受到台灣社會廣泛重視,部分支持者打著「今日烏克蘭,明日台灣」的旗號,呼籲民眾關注戰爭局勢並聲援烏克蘭。烏克蘭總統澤倫斯基亦憑著抵抗敵國的決心,獲美國《時代》雜誌選為2022年的風雲人物。   本研究以俄烏戰爭作為一個災難的例子,結合大數據和人工介入的厚數據方法,分析社群媒體上的戰亂新聞報導及閱聽人的情緒反應。本研究從六家台灣媒體的Facebook新聞粉專(包括《中國時報》、《聯合報》、《自由時報》、《東森電視》、《三立電視》及《TVBS》)蒐集俄烏戰爭相關報導貼文與留言,首先進行大數據的資料統計;接下來,本研究從資料出篩選出「俄烏戰爭局勢發展」與「澤倫斯基相關議題」等兩個議題的報導貼文,以厚數據方法進行新聞主題類目、情緒類型及情緒表達對象之分類,旨在以戰爭階段、新聞主題、個別媒體等三個維度,比較閱聽人的情緒反應差別。   本研究的分析結果指出,俄烏戰爭的新聞報導主要集中在戰爭初期,儘管過後有個別重要事件使報導數量一度急升,仍然無法達至戰爭初期的水平。不論在戰爭的哪個階段,「嘲諷」仍然是最主要的閱聽人情緒反應,當中在「俄烏戰爭局勢發展」的報導下,閱聽人普遍對烏克蘭感「熱情」、對俄羅斯感「憤怒」。在新聞主題方面,大部分主題依舊由「嘲諷」情緒主導,對象則根據主題而定。研究比較不同媒體的閱聽人情緒反應後發現,閱聽人可分為「順應政府立場」和「抗拒政府立場」兩類型,前者可見於「泛綠」或「中立」為主要受眾的媒體,在戰爭中支持烏克蘭一方;後者可見於「泛藍」受眾為主的媒體,傾向對烏克蘭冷嘲熱諷。zh_TW
dc.description.abstract (摘要)   In February 2022, Russia officially announced the special military operation in Ukraine, which indicated the outbreak of Russia-Ukraine War. Since then, the warfare has caused thousands of people to get injured, lose their home, and even get killed. On the other side of the world, people in Taiwan are paying attention to the war because there are similarities in historical contexts between Russia-Ukraine and Taiwan Strait relationships. Some supporters aim at pursuing others to focus on the war, by pointing out “Today’s Ukraine, tomorrow’s Taiwan”. Volodymyr Zelenskyy, the President of Ukraine, has been elected as Person of the Year by Time magazine in 2022, muchly due to his determination to protect his country from invasion.   Taking Russia-Ukraine War as a disaster example, this research aims at analyzing war news reports and emotional responses of audience on social media, by a combination of big data and thick data methodologies. Such news reports and comments have been collected from six Taiwanese media, including ChinaTimes, United Daily News, Liberty Times, Eastern Television, Sanlih Television and TVBS. At first, big data analysis has been performed. Then, two issues, “Russia-Ukraine War development” and “Zelenskyy-related topic”, has been selected for further thick data analysis, which includes identifying news themes, types of emotion and targets of emotion expressed. At the end, differences of audience’s emotions can be compared by using stage-of-war, news theme and media dimensions.   Results reveal that news reports of Russia-Ukraine War concentrate at the early stages of war. Although the number of reports surged up occasionally during the progress, it cannot reach the same level at the early stages. From the stage-of-war dimension, “satire” is the major emotional responses of audience in every stage of war. On the issue of “Russia-Ukraine War development”, audience feel “enthusiastic” towards Ukraine and “angry” towards Russia in general. Speaking of news theme, “satire” is still the dominating emotion, and the targets of emotion expressed depend on themes. By comparing emotional responses in different media, this research identifies two types of audience: “conformist” and “resistists”. Conformists join government’s stance to support Ukraine, and are probably the audience of pan-Green or neutral media. On the other hand, resistists tend to be readers of pan-Blue media, and they usually satirize the situation in Ukraine.en_US
dc.description.tableofcontents 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 4 第三節 預期貢獻 5 第二章 文獻回顧 6 第一節 從俄烏恩怨看台海地緣政治 6 第二節 戰亂下的媒體角色 17 第三節 從線下到線上的台灣媒體 20 第四節 社群媒體上的閱聽人情緒 21 第五節 大數據與厚數據研究方法 23 第三章 研究方法 26 第一節 研究問題與架構 26 第二節 研究設計 27 第四章 研究分析及結果 34 第一節 整體報導趨勢分析 34 第二節 議題為本分析 41 第五章 結論與建議 79 第一節 研究結果討論 79 第二節 研究貢獻與未來建議 89 參考資料 91zh_TW
dc.format.extent 9913074 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0110464058en_US
dc.subject (關鍵詞) 俄烏戰爭zh_TW
dc.subject (關鍵詞) 災難傳播zh_TW
dc.subject (關鍵詞) 情緒反應zh_TW
dc.subject (關鍵詞) 社群媒體新聞zh_TW
dc.subject (關鍵詞) 厚數據分析zh_TW
dc.subject (關鍵詞) Russia-Ukraine Waren_US
dc.subject (關鍵詞) disaster communicationen_US
dc.subject (關鍵詞) emotional responsesen_US
dc.subject (關鍵詞) social media newsen_US
dc.subject (關鍵詞) thick data analysisen_US
dc.title (題名) 社群媒體災難新聞報導與閱聽人留言情緒之研究:以俄烏戰爭為例zh_TW
dc.title (題名) Emotions of Audience Comments towards Disaster Reporting on Social Media: Case Study of Russia-Ukraine Waren_US
dc.type (資料類型) thesisen_US
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