本研究探討平台在隱私邊界揭露情境中，如何透過框架策略影響使用者的認知評估與情緒反應。儘管資訊透明化已成為數位平台合規與建立信任的核心手段，揭露本身卻可能引發隱私邊界動盪，誘發焦慮與憤怒等負向情緒，進而削弱使用者的參與意願與信任感。為回應此一挑戰，本研究結合認知評估理論，將情緒生成機制區分為兩大評估向度：感知控制與感知公平，並分別對應恐懼、焦慮與憤怒。研究採用序列式混合方法，透過兩項實驗與質性訪談，系統性地檢驗不同類型的框架設計（控制導向、公平導向）如何影響使用者的評估與情緒結果。研究結果顯示，控制增強框架有助於引導使用者的感知控制，進而緩解焦慮與恐懼；而公平增強框架則有助於建立感知公平，進而減輕憤怒情緒。此結果證實了使用者的認知評估（感知控制與感知公平）正是決定其負向情緒反應的關鍵心理機制。本研究擴展了認知評估理論於數位隱私領域的應用，也為平台提供設計情緒調節導向隱私揭露的具體策略，有助於在確保資訊透明的同時，減輕使用者的情緒抵觸，促進平台信任與互動參與。

This study investigates how to mitigate negative emotions arising from "privacy boundary turbulence"—a common side effect of platform transparency disclosures. Drawing on cognitive appraisal theory (CAT), we examine how "framing" strategies can regulate user anxiety and anger by targeting two key pathways: perceived control and perceived fairness. Using a mixed-methods design with two experiments and interviews, we tested control- and fairness-enhancing frames. Findings show these frames successfully influence their corresponding appraisals, which in turn mediate emotional outcomes: perceived control predicts anxiety and fear, while perceived fairness predicts anger. This research extends CAT into the privacy domain and offers practical guidance for designing emotionally-attuned disclosures that balance transparency with user trust.

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