隨著線上平台的使用頻率增加，確實的溝通也愈加重要。但是由於溝通媒介的限制，有時文字上的溝通會造成誤解並引起衝突。在本論文中，我們嘗試事先辨識出可能引起錯誤表達的文字訊息並且修正它們。傳統的分類技術難以解釋訊息中會產生誤解的部份，除此之外，缺乏標註的錯誤表達資料也使得這項研究更具挑戰性。我們提出一個利用群眾智慧的做法以辨識在社群平台Reddit上造成錯誤表達的使用者貼文，並建構一個框架能夠辨識導致衝突的文字模式以預測上述情形。

As usage of online platforms increases, effective conversations become of great importance. Unfortunately, given the limited medium of communication, written text is at times misunderstood and generate conflict. In this thesis we attempt to identify such miscommunication before they occur and rephrase messages before it is too late. Traditional classification methods do not provide interpretability which is necessary to identify what parts of the message generate misunderstanding. Furthermore, the lack of annotated data about miscommunication provides an additional challenge. We propose a method to identify posts on the social media platform Reddit that cause miscommunication and conflict using wisdom of the crowd, as well as a framework that allows the prediction of these cases by identifying patterns that lead to conflict.

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