在生成式新聞報導日益普及的時代，人工智慧（AI）所生成的新聞內容如何影響受眾對新聞可信度的判斷，特別是在具高度政治敏感性的情境中，成為亟待探討的議題。本研究採取混合方法設計，透過2×2×2之實驗法與後續訪談，探究兩岸政治新聞的實際撰寫者（AI或人類記者）、作者標示方式、政治立場一致性，以及受試者對中國態度等變項，如何影響其對新聞可信度的認知。
研究結果顯示，受試者對新聞可信度的評價受到「標示作者」的顯著影響，而非實際作者身份。被標示為AI撰寫的新聞，整體上被視為可信度較低；反之，標示為人類記者撰寫的新聞則獲得較高信任。雖然新聞的政治立場與個人政治傾向相符與否並未對可信度造成顯著差異，但受試者對中國的整體態度對「標示作者」與「可信度」之間的關係具有調節作用。具反中態度者較信任標示為人類記者撰寫的新聞。
質性資料進一步揭示，受試者在評估新聞時高度依賴作者標示，並對AI處理政治性新聞的能力表現出審慎但多元的觀點。部分受試者認為AI或許在台灣的政治媒體環境中能提供相對中立的聲音，然亦有人指出AI所依據的資料來源與演算邏輯，終究反映人類的意識形態與偏見，難以完全客觀。
本研究拓展了AI新聞應用於政治傳播領域的理解，突顯在新聞可信度建構中，受眾對人類記者標示的信任依舊具有關鍵地位，並指出AI新聞在面對政治敏感議題時，其公信力仍受限於社會脈絡與受眾政治認同的交互作用。

In the age of automated journalism, the increasing use of AI-generated content raises important questions about credibility perception, particularly in politically sensitive contexts. This mixed-method study examines how news authorship (AI vs. human), labeled authorship, political stance similarity, and participants’ attitudes toward China affect perceived news credibility. Using a 2×2×2 between-subjects experiment and follow-up interviews, we found that labeled authorship had a significant influence on credibility perceptions, whereas actual authorship did not. Articles labeled as written by AI were perceived as less credible than those labeled as written by human journalists. While political stance similarity did not significantly affect credibility ratings, participants’ attitudes toward China moderated the effect of labeled authorship. Specifically, those with anti-China attitudes perceived human-labeled news as more credible, whereas those with pro-China attitudes were more accepting of AI-labeled news. Qualitative findings further revealed that participants relied on author labels when making credibility judgments and expressed mixed views on AI’s capacity to handle ideologically charged topics. This study contributes to the understanding of AI’s role in political news by highlighting the persistent influence of human authorship perception, and with different or same political stance credibility performance.

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