Google-trickers, Yaminjeongeum, and Leetspeak: An Empirical Taxonomy for Intentionally Noisy User-Generated Text
Google-trickers, Yaminjeongeum, and Leetspeak: An Empirical Taxonomy for Intentionally Noisy User-Generated Text
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Google-trickers、Yaminjeongeum 和 Leetspeak：故意嘈杂的用户生成文本的经验分类法
DOI：
10.18653/v1/2021.wnut-1.7
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发表时间：
2021
影响因子：
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通讯作者：
Soomin Kim
中科院分区：
文献类型：
--
作者：
Won;Soomin Kim
警告：本文包含可能冒犯读者的内容。在发布文本时故意插入噪音的策略在在线空间中很常见，有时它们的目的是只让某些社区用户理解真正的语义。在本文中，我们通过将此类行为分类为技巧、模因、填充物和代码来探索此类行为的目的，并组织用于每种目的的语言策略。通过这一点，我们发现作者可以出于多种目的实施此类策略，考虑到“同行”和“其他人”等利益相关者的存在。最后，我们分析这些策略在每种情况下的不同表现，以及示例中的统一分类法。
WARNING: This article contains contents that may offend the readers. Strategies that insert intentional noise into text when posting it are commonly observed in the online space, and sometimes they aim to let only certain community users understand the genuine semantics. In this paper, we explore the purpose of such actions by categorizing them into tricks, memes, fillers, and codes, and organize the linguistic strategies that are used for each purpose. Through this, we identify that such strategies can be conducted by authors for multiple purposes, regarding the presence of stakeholders such as ‘Peers’ and ‘Others’. We finally analyze how these strategies appear differently in each circumstance, along with the unified taxonomy accompanying examples.