Collaborative Research: Collective Action Dynamics in the U.S., 1960-1995

合作研究：美国的集体行动动力，1960-1995

• 批准号: 1155008
• 负责人: Edwin Amenta
• 金额: $ 14.35万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1155008&HistoricalAwards=false
• 关键词: Collaborative; Research; Collective; Action; Dynamics

COLLABORATIVE RESEARCHSES-1154896Jennifer EarlUniversity of ArizonaSES-1153797Neal CarenUniversity of North Carolina, Chapel HillSES-1155008Edwin AmentaUniversity of California, IrvineAbstractCollaborative Research: Collective Action Dynamics in the U.S., 1960-1995Social movements are critical vehicles for political and social engagement, allowingindividuals to act collectively to influence government, business, and other vital socialinstitutions. This project examines four important questions about social movements usingcombined and augmented data from two prior NSF-funded projects, the Dynamics of CollectiveAction project and the Political Organizations in the News project.First, the project will compare social movement dynamics using data on protest events versus data on social movement organizations (SMOs) with the innovative dataset described above. Second, the project investigates how disruptive tactics affect news media coverage of social movements and social movement organizations by using data on protest events. Given the continued importance of the news media, better understanding the dynamics that drive media attention is an important question for social movement scholars. Third, the project assesses the extent to which protest and the news coverage of SMOs may influence public opinion trends over time. Specifically, we expect that specific types of movement events shape how favorably the movement is perceived, that this shifts over the lifespan of the movement and depends on political responses to the movement. Finally, our project will examine a key methodological issue of interest to researchers: Selection bias suggests that the news media cover only a portion of social life and do so in selective and structured manners. Our project will use data on protest events and SMOs to pinpoint the differences between selective reporting on protest events versus the selective reporting on SMOs. Quantitative analyses will rely on negative binomial models, ARMA models, multinomial logistic regressions, as well as time series analysis.Broader ImpactsUnderstanding the dynamics that shape political participation in a democratic context is an issue of broad interest to the general public and policy makers alike. Similarly, furthering our understanding of media coverage and public opinion of political activism is important to a broad set of stakeholders. Findings from this study may be of interest to policy analysts involved in monitoring domestic and international events and trends. Broader impacts also include the creation of publically available dataset on domestic political activism since 1960 at a scale hitherto unknown. In addition, methodological advances produced in the process of creating the data set, as well as those derived from analysis will be made available to the public. The project will also offer substantial research training to undergraduate and graduate students.

合作研究-1154896Jennifer Earl 亚利桑那大学SES-1153797Neal Caren 北卡罗来纳大学教堂山分校SES-1155008Edwin Amenta 加州大学欧文分校摘要合作研究：美国的集体行动动态，1960-1995 社会运动是政治和社会参与的关键工具， 允许个人集体行动来影响政府、企业和其他重要的社会机构。该项目使用来自之前两个 NSF 资助项目（集体行动动态项目和新闻中的政治组织项目）的组合和增强数据，研究有关社会运动的四个重要问题。首先，该项目将使用抗议事件数据与社会运动组织 (SMO) 数据和上述创新数据集来比较社会运动动态。其次，该项目通过使用抗议事件的数据来调查破坏性策略如何影响新闻媒体对社会运动和社会运动组织的报道。鉴于新闻媒体的持续重要性，更好地理解推动媒体关注的动态对于社会运动学者来说是一个重要问题。第三，该项目评估了抗议活动和 SMO 的新闻报道可能在多大程度上影响公众舆论趋势。具体来说，我们预计特定类型的运动事件会影响运动的受欢迎程度，这会在运动的整个生命周期中发生变化，并取决于对运动的政治反应。最后，我们的项目将研究研究人员感兴趣的一个关键方法论问题：选择偏差表明新闻媒体仅覆盖社会生活的一部分，并且是以选择性和结构化的方式进行的。我们的项目将使用抗议事件和 SMO 的数据来查明选择性报道抗议事件与选择性报道 SMO 之间的差异。定量分析将依赖于负二项式模型、ARMA 模型、多项逻辑回归以及时间序列分析。 更广泛的影响 了解民主背景下政治参与的动态是公众和政策制定者广泛感兴趣的问题。同样，加深我们对政治活动的媒体报道和公众舆论的理解对于广大利益相关者来说也很重要。 参与监测国内和国际事件和趋势的政策分析师可能会对这项研究的结果感兴趣。 更广泛的影响还包括创建 1960 年以来国内政治活动的公开数据集，其规模迄今未知。 此外，在创建数据集的过程中产生的方法论进步以及从分析中得出的方法论进步将向公众公开。该项目还将为本科生和研究生提供大量的研究培训。