论文标题
风格很重要！在线社区调查语言风格
Style Matters! Investigating Linguistic Style in Online Communities
论文作者
论文摘要
历史上，内容一直是用于研究在线社区语言的主要镜头。相反，本文着重于社区的语言风格。虽然我们知道个人具有可区分的风格，但我们在这里询问社区是否具有可区分的风格。此外，虽然先前的工作依赖于风格的狭义定义，但我们采用了一个广泛的定义，涉及262个功能来分析来自3个社交媒体平台的9个在线社区的语言风格，讨论政治，电视和旅行。我们发现社区确实具有不同的风格。此外，样式是小组成员资格的出色预测指标（F-评分0.952和准确性96.09％）。虽然平均而言，它在统计学上等同于仅使用内容的预测，但它对于减少培训数据的弹性更具弹性。
Content has historically been the primary lens used to study language in online communities. This paper instead focuses on the linguistic style of communities. While we know that individuals have distinguishable styles, here we ask whether communities have distinguishable styles. Additionally, while prior work has relied on a narrow definition of style, we employ a broad definition involving 262 features to analyze the linguistic style of 9 online communities from 3 social media platforms discussing politics, television and travel. We find that communities indeed have distinct styles. Also, style is an excellent predictor of group membership (F-score 0.952 and Accuracy 96.09%). While on average it is statistically equivalent to predictions using content alone, it is more resilient to reductions in training data.
