INSPIRE Track 1: Language-Based Computational Methods for Analyzing Worldviews

该INSPIRE奖部分由计算机和信息科学与工程局的网络人类系统计划，计算机和信息科学与工程局的强大智能计划以及社会，行为和经济科学局的社会心理学计划资助。 该项目的目标是通过心理学和计算语言学领域的创新方法和工具，收集人们在不同文化中组织和理解世界的方式的新见解。该项目的研究结果将在个人心理层面以及文化本身上更好地了解人们，同时开发和展示新的研究技术，这些技术可供许多学科在未来使用，以利用目前在线提供的大量有科学价值的文本数据。 具体而言，该项目针对以下三个主要研究目标：1）构建一个非常大的来自英语文化的多元文化写作数据库，涵盖多种风格和体裁，包括：社交媒体（例如，博客，推特）;新闻文章;文学作品;学生作品。2)建立计算语言学模型，可以自动识别不同文化中概念使用的差异，并大规模应用这些模型。 3)在实验室研究中，通过心理学的定性和定量方法验证这些计算模型的结果。人们使用文字的方式可以让我们深入了解他们看待和理解世界的方式。日常语言也可以告诉我们人们的社会，情感和心理状态，甚至他们对自己和他人的看法。特别有趣的是，我们在个人语言中发现的许多社会和心理见解可以外推到群体、社区和整个文化中。 该项目旨在分析几种文化中人们的书面语言，使我们能够更好地了解人们理解世界的方式。简而言之，它将利用计算语言学和社会心理学的进步，通过分析人们使用词语的方式来跟踪大量人群的潜在价值观、信仰和关注点。以往的研究仅限于针对不同文化中的少数概念的相对较小的自我报告调查，而本项目将帮助我们了解代表数十万人的几种文化对数千个概念的感知差异。本项目通过分析人们通过日常语言理解世界的方式，有望为文化差异提供新的视角。该方法将为通信、威胁控制、文化价值跟踪等应用提供信息。该项目还将提供教育机会，为计算机科学和心理学的学生提供培训，他们将直接接触跨学科研究，文化多样性和国际经验。最后，作为该项目的一部分创建的大型多元文化数据集以及处理它的工具将沿着公开，从而使未来的研究以及与分析有关的教育项目成为可能。和文化多样性和世界观的理解。

This INSPIRE award is partially funded by the Cyber-Human Systems Program in the Directorate for Computer and Information Science and Engineering, the Robust Intelligence Program in the Directorate for Computer and Information Science and Engineering, and the Social Psychology Program in the Directorate for Social, Behavioral and Economic Sciences. The goal of this project is to gather new insights into the ways people organize and understand their worlds within and across different cultures by means of innovative methodologies and tools from the fields of psychology and computational linguistics. The findings from this project will provide a better understanding of people on the individual psychological level as well as the cultures themselves, while developing and demonstrating new research techniques that can be used in future by many disciplines to exploit the vast troves of scientifically valuable textual data currently available online. Specifically, the project targets the following three main research objectives: 1) Construct a very large multicultural database of writings from English-speaking cultures, covering several styles and genres, including: social media (e.g., blogs, tweets); news articles; literary works; student writings. 2) Build computational linguistic models that can automatically identify differences in concept usage for different cultures, and apply these models on a large scale. 3) Validate the findings of these computational models through psychological qualitative and quantitative methods in laboratory studies. The ways people use words can provide insights into the ways they see and understand their worlds. Everyday language can also tell us about people's social, emotional, and psychological states and even the ways they think about themselves and others. Particularly interesting is that many of the social and psychological insights we find with the language of individuals can be extrapolated to groups, communities, and entire cultures. This project seeks to analyze the written language of people across several cultures in a way that will allow us to better understand the ways groups of people understand their worlds. In short, it will use advances in computational linguistics and social psychology to track the underlying values, beliefs, and concerns of very large groups of people by analyzing the ways they use words. Unlike previous studies, which have been limited to relatively small self-report surveys targeting a handful of concepts across cultures, this project will help us understand the differences in perception for thousands of concepts, by several cultures representing hundreds of thousands of people.This project promises to shed new light on cultural differences by analyzing the ways people understand their worlds through their everyday language use. The approach will inform applications in communication, threat control, tracking of cultural values, and others. The project will also provide educational opportunities, in the form of training for students in both computer science and psychology, who will be directly exposed to interdisciplinary research, cultural diversity, and international experiences. Finally, the large multicultural dataset that will be created as part of this project, along with the tools to process it, will be made publicly available, thus enabling future research, as well as educational projects concerned with the analysis and understanding of cultural diversity and worldview.