新聞推播通知已逐漸成為一重要獲取新聞的管道，但使用者並非隨時總是有充足的時間與認知資源來閱讀推播新聞通知。然而，人們在不同新聞推播時機，會以甚麼閱讀模式與其閱讀表現如何尚未有太多相關研究。我們開發了一款多元新聞入口的新聞app — NewsMoment，提供來自九家新聞媒體真實的新聞通知與新聞內容，並且透過app收集使用者的新聞閱讀行為。分析經驗抽樣問卷(ESM)實驗結果發現，使用者常以兩種淺閱讀模式(shallow reading) —掃視與未投入—閱讀推播的新聞通知。這兩種淺閱讀看似相近，但在分布比例、觸發因素、合適時機以及自我衡量的閱讀投入程度與新聞可信程度均有所不同。我們也發現合適閱讀新聞時機與接收通知時機、查看通知時機有所不同。我們依此提出設計新聞推播機制的建議，預期能降低淺閱讀出現的機率。

Pushed notifications from mobile news apps are an important means of access to news, but people do not always have sufficient time or cognitive resources to process them. Nevertheless, whether and to what extent news-reading behavior and performance are associated with particular moments of pushed-news delivery are understudied. We therefore built NewsMoment, a smartphone news-aggregation app that logs its users’ reading behavior and sends pushed news notifications for real news items from up to nine news organizations. Our ESM study found that pushed news was associated with two shallow reading modes – Scanning and Unengaged – which, though seemingly similar, were distinct in their prevalence, triggers, opportune moments, and self-assessed reading engagement and news items’ perceived credibility. We also found that opportune moments for reading entire articles were distinct from those for receiving notifications and checking news titles. These findings inform our pushed-news design recommendations aimed at reducing shallow reading.

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