本研究採用內容分析以及批判論述分析，探討報紙新聞如何呈現網友意見及其公眾樣貌。研究發現，大部份引用網友訊息的新聞並無指出引用來源，而近八成的新聞皆未指出網友ID，亦即以「網友」模糊的指稱，將網友意見描述成為群體公眾的意見來源。而論述分析則發現，新聞報導建構出普遍化多數公眾、匿名之細節公眾、對立公眾、以及主動公眾的公眾樣貌。並使用通則化及情緒用語來強化網友意見的代表性，以及應用論述構連的方式，讓網友意見成為新聞論述的支持與佐證觀點。

We adopted content and discourse analyses to determine how Internet opinions have been represented in the press. The results show that the majority of news items quoted from the opinions of Internet users did not cite Internet sources, and almost 80% of the news items failed to indicate the identity of the Internet-users. The opinions of the Internet user are defined as the publicly held opinions of the majority. The results of the discourse analysis reveal that news reports categorize Internet users into several public entities: the majority, the anonymous but occupied public, the opposition, and the active public. The news discourse uses the majority and emotional discourses to strengthen generalized opinions, and uses the articulation discourse to support the position and viewpoint of the press.