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Using the Web and Social Media as Corpora for Monitoring the Spread of Neologisms. The case of rapefugee, rapeugee, and rapugee

机译:使用网络和社交媒体作为监测新神奇主义传播的公司。 rapefugee,加伦丹和奸淫的案例

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This paper employs both a web-as-corpus and a Twitter-as-corpus approach to present a longitudinal case study of the establishment of three recently coined, synonymous neologisms: rapefugee, rapeugee and rapugee. We describe the retrieval and processing of the web and Twitter data and discuss the dynamics of the competition between the three forms within and across both datasets based on quantitative summaries of the results. The results show that various language-external events boost the usage of the terms both on the web and on Twitter, with the latter typically ahead of the former by some days. Beside absolute frequencies, we distinguish between several special usages of the target words and their effects on the establishment process. For the web corpus, we examine target words appearing in the title of websites and metalinguistic usages; for the Twitter corpus, we examine hashtag uses and retweets. We find that the use of hashtags and retweets significantly affects the spread of the neologisms both on Twitter and on the web.
机译:本文聘请了一个网上语料库和推特和语料库方法,展示了一个纵向案例研究,纵向研究了三个最近创造了三个同义新的新闻:rapefugee,冲洗和奸淫。我们描述了Web和Twitter数据的检索和处理,并根据结果的定量摘要,讨论三种形式与两个数据集之间的竞争的动态。结果表明,各种语言 - 外部事件都会提高网站和推特上的术语的使用情况,后者通常在某些日子前面前面。除了绝对频率之外,我们区分了目标单词的几种特殊用法及其对建立过程的影响。对于Web语料库,我们检查出现在网站标题和金属语言用途中的目标单词;对于Twitter语料库,我们检查HashTag使用和转发。我们发现,使用HashTags和转派的使用显着影响Twitter和Web上的新闻中的蔓延。

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