As Covid-19 made its way to the shores of Aotearoa New Zealand in 2020, Kiwis took to Twitter to share their experiences and opinions regarding both the virus and government responses. In this paper, we examine a corpus of 1001 tweets to see just how Twitter users utilize different linguistic and politeness strategies when sharing directives conveying stance toward government Covid-19 measures. While there has been research into the use of directives in spoken and written language, there has been little exploration of how directives are used in the language of Social Media. Often considered difficult to classify even in more traditional language genres, Twitter corpora pose additional challenges. We propose a strategy to identify and classify directives using syntactic and pragmatic features, and use this strategy to identify linguistic patterns of both in relation to stance toward government Covid-19 measures. While we find that the most prototypical directive within our corpus is largely consistent with previous definitions, we also find that tweeters exhibit a striking amount of variation in directive strategy, emphasizing the need for a nuanced approach to directive identification and classification. We further note trends in the directive strategies utilized by tweeters expressing different stances toward government measures.

随着 Covid-19 于 2020 年进入新西兰奥特罗瓦海岸，新西兰人在 Twitter 上分享了他们对病毒和政府应对措施的经验和看法。在本文中，我们检查了 1001 条推文的语料库，以了解 Twitter 用户在分享传达对政府 Covid-19 措施的立场的指令时如何使用不同的语言和礼貌策略。虽然已经对指令在口头和书面语言中的使用进行了研究，但对指令如何在社交媒体语言中使用的探索却很少。通常认为即使在更传统的语言类型中也难以分类，Twitter 语料库带来了额外的挑战。我们提出了一种使用句法和语用特征来识别和分类指令的策略，并使用此策略来确定两者与政府 Covid-19 措施立场相关的语言模式。虽然我们发现我们语料库中最典型的指令与之前的定义基本一致，但我们还发现高音扬声器在指令策略上表现出惊人的变化，强调需要一种细致入微的方法来进行指令识别和分类。我们进一步注意到对政府措施表达不同立场的推特用户使用的指令策略的趋势。强调需要对指令识别和分类采取细致入微的方法。我们进一步注意到对政府措施表达不同立场的推特用户使用的指令策略的趋势。强调需要对指令识别和分类采取细致入微的方法。我们进一步注意到对政府措施表达不同立场的推特用户使用的指令策略的趋势。