NSCC/LA: Collaborative Research: Modeling Discourse and Social Dynamics in Authoritarian Regimes

NSCC/LA：合作研究：威权政权中的话语和社会动态建模

• 批准号: 0904822
• 负责人: Jeffrey Hancock
• 金额: $ 95.09万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0904822&HistoricalAwards=false
• 关键词: NSCC; LA; Collaborative; Research; Modeling

This award was funded through the Social and Behavioral Dimensions of National Security, Conflict, and Cooperation competition, a joint venture between NSF and the Department of Defense. The ways people use words can provide insights into their thoughts, motives, and relationships with others. Discourse patterns can be modeled to predict deception, status, group processes, emotional states, and personality. An important question is whether the relationship between discourse and social dynamics can be extended to create predictive models of social processes across multiple languages and cultures, and among military, political and civilian organizations in authoritarian regimes. The specific goals of the project are a) to define and compare the ways natural language reflects social dynamics through the analysis of a wide range of documents across languages and cultures, b) to develop annotated and socially indexed multi-language databases of communication (e.g., English, Arabic, Chinese, Spanish, and Korean), along with preliminary research tools that can enhance our ability to conduct research across languages and cultures, and c) to address key national security questions emerging from the collection of vast amounts of digitized documents and communication, such as the capability to understand past actions and cognitions of previous regimes and assess emerging threats. The project will focus on three types of social dynamics: a) Leadership, identity and group dynamics, and the degree to which the psychological and social identities of people and groups can be determined through writing and speech; b) Cohesion of text and social processes, and whether it is possible to identify the connections among people in a social group, such as the stability of the group and likelihood of defection, by comparing the ways the group members separately use words; and c) Deception and misinformation, and whether it is possible to identify deception and deceptive intent from language-based cues. A cross-cutting research theme is the complexities of conducting computational analysis of discourse and social dynamics across multiple languages and translated corpora. For example, to what degree does translation distort the link between language and social dynamics? The project will advance social science theory, developing new models linking language use with social dynamics and providing a new way of looking at large cross-sections of a society. New computational methods will be developed that can be applied to large, representative samples of text from across an entire country's political and cultural landscape. These methods, unlike traditional analytical methods, do not require individual analysis by highly trained social scientists and historians and can provide the capacity to process documents that may number in the millions. These developments and findings will advance analyses of social dynamics that were not previously possible and can assist scientists and practitioners, such as security analysts, in understanding information flow and social structure at a macroscopic level. Such knowledge could potentially help security analysts to pinpoint individuals and groups that merit direct study by trained experts.

该奖项是通过国家安全，冲突和合作竞争的社会和行为方面资助的，NSF与国防部之间的合资企业。人们使用词语的方式可以为自己的思想，动机和与他人的关系提供见解。 可以对话语模式进行建模，以预测欺骗，地位，群体过程，情绪状态和个性。 一个重要的问题是，是否可以扩展话语与社会动态之间的关系，以创建跨多种语言和文化的社会过程的预测模型，以及在专制政权中的军事，政治和平民组织中。 The specific goals of the project are a) to define and compare the ways natural language reflects social dynamics through the analysis of a wide range of documents across languages and cultures, b) to develop annotated and socially indexed multi-language databases of communication (e.g., English, Arabic, Chinese, Spanish, and Korean), along with preliminary research tools that can enhance our ability to conduct research across languages and cultures, and c) to address key national security questions从收集大量数字化文件和沟通的收集中出现，例如了解以前的制度的过去行动和认知的能力并评估新兴威胁。该项目将侧重于三种类型的社会动态：a）领导力，身份和群体动态，以及可以通过写作和言语来确定人和社会身份的程度； b）文本和社会过程的凝聚力，以及是否可以通过比较组成员分别使用单词的方式来确定社会群体中人们之间的联系，例如群体的稳定性和叛逃的可能性； c）欺骗和错误信息，以及是否有可能从基于语言的提示中识别欺骗和欺骗性。跨裁切研究主题是对多种语言和翻译语料库进行话语和社会动态进行计算分析的复杂性。例如，翻译在多大程度上扭曲了语言与社会动态之间的联系？该项目将推进社会科学理论，开发将语言使用与社会动态联系起来的新模型，并提供一种新的方式来研究社会的大型横断面。将开发新的计算方法，可应用于整个国家的政治和文化景观中的大型代表性文本样本。这些方法与传统的分析方法不同，不需要受过训练有素的社会科学家和历史学家的个人分析，并且可以提供处理数百万美元的文档的能力。这些发展和发现将提高对以前无法实现的社会动态的分析，并可以帮助科学家和从业人员（例如安全分析师）在宏观层面上理解信息流和社会结构。 这种知识可能有可能帮助安全分析师确定值得训练的专家直接研究的个人和团体。