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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李柏翰 | zh_TW |
| dc.contributor.advisor | Po-Han Lee | en |
| dc.contributor.author | 呂阡瑀 | zh_TW |
| dc.contributor.author | Chien-Yu Lu | en |
| dc.date.accessioned | 2025-09-19T16:10:07Z | - |
| dc.date.available | 2025-09-20 | - |
| dc.date.copyright | 2025-09-19 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-06-12 | - |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99876 | - |
| dc.description.abstract | 背景：錯誤訊息新聞對公共衛生構成重大威脅。目前的應變措施主要集中在事實查核，或近期的人工智慧相關的方法。然而，這些方法需依賴專家的協助。現有查核組織多以人工方式進行，查核速度遠不及錯誤資訊被快速傳散的速度。本研究的目標是透過假資訊和可信賴資訊的內容特徵區分，使讀者能夠自主識別錯誤資訊。
研究方法：這是一項 1:2 案例對照觀察研究，採用質性與量性混合性研究。案例選自2020年至2023年間台灣事實查核（TFC）核實錯誤的文章，對比文章選則可受信賴的資訊來源CH。運用中文語料庫進行質性分析，從樣本中找出常見的關鍵字詞。然後拿TFC和CHM兩群文章各前50個高頻率的關鍵詞，接著在每篇文章計算這100個關鍵詞的頻率和密度。最後使用t檢定和單一邏輯迴歸對關鍵字密度進行兩群文章的量化比較。 研究結果：總共從TFC和CHM中分別選出了37篇和75篇文章。TFC文章明顯比 CHM文章短（225.08 +/- 201.75，vs 1409.04 ± 557.30，p<0.001）。排除與 COVID 相關的關鍵詞後，有7個關鍵詞在TFC文章中出現的密度明顯高於CHM文章。關鍵詞上下文的脈絡分析發現，這些關鍵詞通常具有情感作用。 結論：假新聞中包含的情感或不特定對象統稱的關鍵詞密度較高。假新聞可能是「情感病毒」，它的目的可能不是傳播知識內容，而是傳播情感。假新聞也可能是一種「知識病毒」，透過情感的「尖刺狀蛋白質」將錯誤資訊附著在讀者心智上。錯誤資訊的情感內容可能造成「群體歇斯底里」，形成一個新的公共衛生問題。應對假新聞的應變措施可能需要從群眾心理問題的角度，來解決資訊內容管理的問題。 | zh_TW |
| dc.description.abstract | Introduction: Misinformation is a significant health threat. Current interventions mostly rely on fact-checking or, more recently, on artificial intelligence-related approaches. The current study aims to empower readers to detect fake news for themselves by identifying the content characteristics that differentiate fake health-related news from reliable sources.
The goal of the current study is to empower readers to detect fake news for themselves by identifying its characteristics. Methods: A 1:2 case-control observational study from 2020-2023 with mixed methods analysis was performed in Taiwan, which has been reported to have a high prevalence of fake news due to geopolitical tension. Cases were selected from articles confirmed to be false by Taiwan Fact Check (TFC), and comparison articles were selected from Common Health Magazine (CHM), generally considered the most reputable source of health information in Taiwan. Qualitative analysis was performed to identify common keyphrases. Frequency and density of the top 50 keyphrases from TFC and CHM were then calculated for every article, and quantitative comparison of keyphrase densities were performed with t tests and single logistic regression. Qualitative analyses were then performed for important keyphrases to determine their context. Results: A total of 37 and 75 articles were selected from TFC and CHM, respectively. TFC articles was significantly shorter than CHM articles (225.08+/-201.75, vs 1409.04+/- 557.30, p<0.001). After excluding COVID-related keyphrases, 7 keyphrases appeared with significantly higher density in TFC articles than in CHM articles. Context analyses revealed that these keyphrases are generally non-specific and emotive. Discussion: Fake news includes a higher density of non-specific and emotive language. This information may empower readers to detect fake news for themselves. Societal interventions may also need to focus on the emotional component of fake news, through reassurance and stress management training. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-09-19T16:10:07Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-09-19T16:10:07Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書. 1
謝辭. 2 中文摘要. 3 英文摘要. 4 目次. 5 圖次. 7 表次. 8 第壹章 緒論. 10 第一節 研究動機. 10 第二節 研究目的. 12 第三節 研究概念與框架. 12 第貳章 文獻回顧. 14 第一節 虛假訊息、錯誤訊息及假新聞. 14 第二節 病毒學與資訊流行病. 15 第參章 研究方法. 18 第一節 研究設計. 18 第二節 研究文本範圍與研究設計. 18 第三節 研究概念與框架. 19 第四節 研究架構與流程. 22 第五節 資料之蒐集處理評估及統計分析方法. 23 第六節 研究期限與進度. 23 第肆章 研究結果. 27 第一節 文本的描述性分析. 27 第二節 「可信賴資訊」與「假資訊」的特徵比較. 30 第三節 關鍵詞的羅吉斯迴歸分析. 34 第四節 選擇有影響力的關鍵詞. 37 第五節 關鍵詞的文本脈絡回顧. 40 第伍章 討論、結論與建議. 70 第一節 結論. 70 第二節 相關文獻探討. 72 第三節 其他具影響力的關鍵詞. 75 第四節 研究結果的可能批判. 76 第五節 研究優勢與限制. 76 第六節 當前執行建議. 77 第七節 未來研究方向. 79 第八節 結語. 80 參考文獻. 81 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 虛假資訊 | zh_TW |
| dc.subject | 錯誤資訊 | zh_TW |
| dc.subject | 假新聞 | zh_TW |
| dc.subject | 健康資訊病毒 | zh_TW |
| dc.subject | 思想病毒 | zh_TW |
| dc.subject | 事實核查 | zh_TW |
| dc.subject | 假新聞 | zh_TW |
| dc.subject | 資訊流行病 | zh_TW |
| dc.subject | 病毒學 | zh_TW |
| dc.subject | 群體歇斯底里 | zh_TW |
| dc.subject | 情感傳染 | zh_TW |
| dc.subject | 假健康新聞 | zh_TW |
| dc.subject | mass hysteria | en |
| dc.subject | emotion contagion | en |
| dc.subject | misinformation | en |
| dc.subject | disinformation | en |
| dc.subject | fake news | en |
| dc.subject | health information viruses | en |
| dc.subject | thought viruses | en |
| dc.subject | fact-checking | en |
| dc.subject | infodemics | en |
| dc.subject | virology | en |
| dc.title | 假健康新聞是情感病毒所造成的一種群體歇斯底里 | zh_TW |
| dc.title | Fake Health News is a Form of Mass Hysteria Caused by Emotion Virus | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 林青青;黃柏堯 | zh_TW |
| dc.contributor.oralexamcommittee | Ching-Ching Lin;Po-Yao Huang | en |
| dc.subject.keyword | 虛假資訊,錯誤資訊,假新聞,健康資訊病毒,思想病毒,事實核查,假新聞,資訊流行病,病毒學,群體歇斯底里,情感傳染,假健康新聞, | zh_TW |
| dc.subject.keyword | misinformation,disinformation,fake news,health information viruses,thought viruses,fact-checking,infodemics,virology,mass hysteria,emotion contagion, | en |
| dc.relation.page | 86 | - |
| dc.identifier.doi | 10.6342/NTU202501120 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2025-06-13 | - |
| dc.contributor.author-college | 公共衛生學院 | - |
| dc.contributor.author-dept | 健康政策與管理研究所 | - |
| dc.date.embargo-lift | 2025-09-20 | - |
| 顯示於系所單位： | 健康政策與管理研究所 | |
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| ntu-113-2.pdf | 18.53 MB | Adobe PDF | 檢視/開啟 |
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