Uncovering social semantics from textual traces: A theory‐driven approach and evidence from public statements of U.S. Members of Congress
Uncovering social semantics from textual traces: A theory‐driven approach and evidence from public statements of U.S. Members of Congress
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从文本痕迹中揭示社会语义：理论驱动的方法和来自美国国会议员公开声明的证据
DOI：
10.1002/asi.23540
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发表时间：
2016
影响因子：
3.5
通讯作者：
D. Lazer
中科院分区：
文献类型：
--
作者：
Y. Lin;Drew B. Margolin;D. Lazer
数字文本档案的日益丰富为理解人类社会系统提供了机会。然而，文学没有充分考虑到文本产生的不同的社会过程。根据传播学理论，我们确定了三个常见的过程，通过这些过程，文档的文本特征可能会明显相似-作者共享主题、共享目标和共享资源。我们假设，这些过程在不同类型的文本重叠的作者之间产生了明显的、可检测的关系。我们开发了一种新的n元语法提取技术来捕获基于不同长度的n元语法的特征。我们在作者属性可观察到的语料库上测试了这一假设：美国国会议员的公开声明。本文提出的第一个实证发现表明，不同的社会关系可以通过重叠语篇特征的结构来检测。我们的研究对于设计文本建模技术，以便从聚合的数字痕迹中理解社会现象具有重要意义。
The increasing abundance of digital textual archives provides an opportunity for understanding human social systems. Yet the literature has not adequately considered the disparate social processes by which texts are produced. Drawing on communication theory, we identify three common processes by which documents might be detectably similar in their textual features—authors sharing subject matter, sharing goals, and sharing sources. We hypothesize that these processes produce distinct, detectable relationships between authors in different kinds of textual overlap. We develop a novel n‐gram extraction technique to capture such signatures based on n‐grams of different lengths. We test the hypothesis on a corpus where the author attributes are observable: the public statements of the members of the U.S. Congress. This article presents the first empirical finding that shows different social relationships are detectable through the structure of overlapping textual features. Our study has important implications for designing text modeling techniques to make sense of social phenomena from aggregate digital traces.
DOI：
10.1016/j.socnet.2014.07.004
发表时间：
2015
期刊：
Soc. Networks
影响因子：
--
作者：
Nadine Tamburrini;M. Cinnirella;Vincent Jansen;J. Bryden
通讯作者：
Nadine Tamburrini;M. Cinnirella;Vincent Jansen;J. Bryden
影响因子：
3.6
作者：
Bryden, John;Funk, Sebastian;Jansen, Vincent A. A.
通讯作者：
Jansen, Vincent A. A.