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

SES-1321802帕特里克·拉斐尔·杜兰大学SES-1322568南加州大学约翰·麦卡锡在这个项目中，我们的目标是完成2009至2014年间社会行动动员的六年时间序列的收集。在之前研究结果的基础上，我们建议解决三个重要的理论问题：第一个问题旨在了解美国各州和地方社区之间的社会结构差异(如收入不平等、失业率)如何增加社会行动发生和再次发生的可能性。第二个问题是，什么社区环境促进了社会行动组织的建立，以及影响这些群体的组织联系和长期生存的因素。第三，我们询问哪些因素会影响报纸对这类群体的报道强度、语气和内容。为了解决这些问题，我们将结合多种数据来源，包括互联网列表、对432份当地报纸的系统搜索以及对所报道事件的报纸故事的内容编码，收集一个关于社会行动事件和组织基础、其他地方活动(如会议或示威)和组织生存的数据库。然后，我们将在地理上确定每个活动和组织的位置，这些活动和组织将与一个更大的数据库相联系，其中包括社会结构指标、选举周期结果信息和报纸特点。对这些过程进行建模的统计方法将包括分层回归、生存分析、Web抓取、文本挖掘和自然语言处理。布罗德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，我们将创建一个公共使用数据集，以便从我们自己以外的广泛角度对社会行动团体动员的原因和后果进行不同的额外调查。最后，我们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。

SES-1321802Patrick RafailTulane UniversitySES-1322568John McCarthyUniversity of Southern CaliforniaIn this project we aim 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, we 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. Third, we ask which factors influence the intensity, tone, and content of newspaper coverage of such groups.To address these questions, we 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. We will then 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, we 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, we will be able to chronicle these social movements from infancy into maturity as well as signs of their decline.