群眾外包(Crowdsourcing)在近十年是一個被熱烈討論的話題，利用網路上的群眾，我們可以快速的完成許多的任務。依照任務實作者的身份，又產生了人際外包(Friendsourcing)。如何提升任務的被實作的機會是一個重要的課題。本研究針對非結構性群眾外包平台上的群眾外包文章做文字策略的探討，以中文版的Linguistic Inquiry and Word Count (LIWC)分析了批踢踢實業坊上文章的語言模式，區別出群眾外包文章與非群眾外包文章。比較了同一使用者在Facebook平台上及一般的線上論壇上，也就是在人際外包及一般群眾外包的條件下，所使用的文字策略有何不同，並以此資料為基礎，建構群眾外包文章產生輔助系統。也從訪談及使用者實作的過程中，了解到如何改進這樣的一個系統，未來將能夠協助人們在不同的平台上產出符合平台規則的群眾外包文章。

The research of crowdsourcing developed rapidly in recent years. We can accomplish some request in a short time by people on Internet. Also we can ask friends to accomplish the requests, which is called friendsourcing. It is important to find out the ways to increase accomplish rate of a request. In this research, I focus on the crowdsourcing article on unstructured crowdsourcing platform. I use the Chinese version of Linguistic Inquiry and Word Count(LIWC) to analyze the difference of the linguistic pattern between crowdsourcing article and non-crowdsourcing article. I figure out the difference of the crowdsourcing articles written by a same user on different platform. I use the result to build the crowdsourcing article generating assistance system. I also find out the design implication of this system through interview and user testing. This system can help people to write proper crowdsourcing article on a specific crowdsourcing platform.

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