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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/98079


    題名: 新聞類型對投資意願與新聞可信度之影響;The Impact of News Types on Investment Intention and News Credibility
    作者: 林欣慈;Lin, Hsin-Tzu
    貢獻者: 會計研究所
    關鍵詞: 財經新聞;自動化新聞;新聞可信度;資訊不對稱;Financial News;Automated News;News Credibility;Information Asymmetry
    日期: 2025-08-05
    上傳時間: 2025-10-17 12:19:41 (UTC+8)
    出版者: 國立中央大學
    摘要: 本研究旨在探討當市場中同時存在由人類記者撰寫的新聞與人機協作產出的混合新聞時,投資人是否對不同新聞類型表現出特定偏好,並進一步檢視揭露AI責任聲明後 ,是否能有效提升投資人對混合新聞的信任。本研究採用實驗法,分三階段提供資訊,觀察受試者在接收不同資訊來源後的投資意願變化。
    研究結果顯示,當市場存在負面消息,受試者對人類新聞與混合新聞的反應無顯著差異。然而,整體而言,受試者認為人類新聞在資訊客觀度上優於混合新聞,且更願意採納人類新聞作為投資參考。此外,研究也發現AI責任聲明有助於受試者對混合新聞的使用程度,但並無法提升對客觀度的感知 。本研究推測,受試者偏好人類新聞的原因,主要來自於對新聞媒體使用AI工具的不信任。再者,投資人對負面資訊的反應,似乎較其對新聞類型的態度更為強烈。;This study aims to explore whether investors exhibit specific preferences toward different types of news when both human-written news and combined journalism produced through human-machine collaboration coexist in the market. It further examines whether disclosing AI responsibility statements can effectively enhance investors′ credibility in combined journalism. An experimental approach was adopted, where information was provided in stages to observe changes in participants′ investment intentions after receiving information from different sources.
    The results indicate that when negative news is present in the market, participants’ reactions to human-written news and combined journalism show no significant differences. However, overall, participants perceive human-written news to be more objective and are more willing to use it as a reference for investment decisions. In addition, the study finds that AI responsibility statements help increase participants’ willingness to use hybrid news but do not improve their perception of its objectivity. It is inferred that the preference for human-written news mainly stems from participants’ distrust of the use of AI tools by news media. Moreover, investors’ sensitivity to negative information appears to have a stronger influence than their attitudes toward different news types.
    顯示於類別:[會計研究所 ] 博碩士論文

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