Collaborative Research: Accounting for the Emergence, Persistence, and Media Coverage of Social Action Organizations

杜兰大学Patrick Rafail南加州大学John McCarthy该项目旨在完成2009年至2014年期间发生的六年社会行动动员系列的收集。在先前研究结果的基础上，研究人员提出了三个重要的理论问题。第一个目的是了解美国各州和当地社区的社会结构差异（例如收入不平等，失业率）增加了社会行动发生和复发的可能性。第二个问题是，什么样的社区背景促进了社会行动组织的建立，以及随着时间的推移，影响这些团体的组织联系和生存的因素。第三个问题是，哪些因素会影响报纸对这些群体报道的强度、语气和内容。为了解决这些问题，研究人员将结合多种数据来源，包括互联网列表、对432家地方报纸的系统搜索以及对报道事件的报纸报道的内容编码，建立一个社会行动事件、组织成立、其他地方活动（如会议或示威）和组织生存的数据库。这项研究将对每个事件和组织进行地理定位，并将其与一个更大的社会结构指标、选举周期结果信息和报纸特征数据库联系起来。建模过程的统计方法将包括层次回归、生存分析、网络抓取、文本挖掘和自然语言处理。更广泛的影响拟议的项目具有巨大的潜力，可以在几个方面产生更广泛的影响。首先，它将对社会行动团体进行全面、系统的分析。其次，调查人员将创建一个公共使用数据集，以便从我们自己之外的各种角度对社会行动团体动员的原因和后果进行各种额外的调查。最后，研究人员将能够记录这些社会运动从婴儿期到成熟期，以及它们衰落的迹象。此外，该项目还为研究生和本科生提供了具体的研究经验。

SES-1321802 Tulane University Patrick Rafail SES-1322568 John McCarthy University of Southern California This project aims to complete the collection of a six year time series of social action mobilization occurring between 2009 and 2014. Building on the results from previous research, the investigators propose to address three important theoretical questions. The first aims to understand what social structural variation (e.g. income inequality, rates of unemployment) across U.S. states and local communities increases the likelihood that social action will occur and recur. The second asks what community contexts facilitate the founding of social action organization as well as the factors influencing the organizational linkages and survival of these groups over time. The third, asks which factors influence the intensity, tone, and content of newspaper coverage of such groups. To address these questions, the researchers will assemble a database of social action events as well as organizational foundings, other local activities such as meetings or demonstrations, and organization survival by combining multiple sources of data including internet listings, systematic searches of 432 local newspapers, and content coding of newspaper stories of covered events. The research will geographically situate each event and organization, which will be linked to a larger database of social structural indicators, information on election cycle outcomes, and newspaper characteristics. Statistical approaches to modeling the processes will include hierarchical regression, survival analysis, web scraping, text mining, and natural language processing. Broader ImpactThe proposed project has enormous potential for having broader impact in several ways. First, it will provide a comprehensive, systematic analysis of social action groups. Second, the investigators will create a public use data set to allow diverse additional investigations of the causes and consequences of social action group mobilization from a wide variety of perspectives beyond our own. And, finally, the researchers will be able to chronicle these social movements from infancy into maturity as well as signs of their decline. Additionally, the project incorporates specific research experiences for both graduate and undergraduate students.