Analyzing NGO Communications to Understand Contestation and Collaboration with Governments Across Human Rights Issues

分析非政府组织的沟通，了解与政府在人权问题上的竞争与合作

• 批准号: 1657700
• 负责人: Michael Colaresi
• 金额: $ 15.76万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-06-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1657700&HistoricalAwards=false
• 关键词: Analyzing; NGO; Communications; Understand; Contestation

Human rights organizations (HR NGOs), such as the International Committee of the Red Cross and Amnesty International, use a range of strategies to improve human rights and social conditions around the world. Some strategies take the form of overt and direct criticism of states to punish and deter repression of citizens, known as "naming and shaming". Other strategies involve positive cooperation with governments to change legal and de facto protections of rights and freedoms. To date, we know little about which strategy is more effective, because systematic research on this topic has ignored direct collaboration between these organizations and states. Instead, there has been a recent explosion in the number of social science studies examining the efficacy of contentious strategies. This research will provide new insight into whether such cooperative strategies are an effective means to improve human rights and social conditions. This project is the first to analyze the large-scale digital communications from human rights non-governmental organizations (HR NGOs) to understand the specific issues and contexts where cooperation can be successfully implemented. The researchers will demonstrate the usefulness of this approach through quantitative text analysis procedure analyzing a wide range of digitally available information (i.e. press releases, published reports, newsletters, and social media posts from multiple HR NGOs). These are an especially rich source of information as they contain both cooperative and confrontational signals to states. The research team plans to build theoretically informed models that predict 1) the issues and circumstances that provide incentives for government-HR NGO partnerships versus public criticism known as "naming and shaming," and 2) when particular HR NGO strategies ultimately lead to the desired changes in state behavior. This research has the potential to enhance the well-being of society by providing a better understanding of strategies that improve human rights performance around the world. It is also poised to make an important contribution in helping to foster collaboration between the social sciences and other STEM disciplines.

红十字国际委员会和国际特赦组织等人权组织（HR NGOs）采用一系列策略来改善世界各地的人权和社会状况。一些战略采取公开和直接批评国家的形式，以惩罚和阻止对公民的镇压，即所谓的“点名羞辱”。 其他战略包括与政府积极合作，改变对权利和自由的法律的保护和事实上的保护。迄今为止，我们对哪种战略更有效知之甚少，因为对这一主题的系统研究忽略了这些组织和国家之间的直接合作。相反，最近社会科学研究的数量激增，研究有争议的策略的有效性。 这项研究将为了解这种合作战略是否是改善人权和社会状况的有效手段提供新的见解。该项目是第一个分析人权非政府组织（HR NGO）大规模数字通信的项目，以了解可以成功实施合作的具体问题和背景。研究人员将通过定量文本分析程序分析广泛的数字信息（即新闻稿，出版的报告，时事通讯和来自多个人力资源非政府组织的社交媒体帖子）来证明这种方法的有用性。 这是一个特别丰富的信息来源，因为它们向各国发出了合作和对抗的信号。研究团队计划建立理论上知情的模型，预测1）为政府-人力资源非政府组织伙伴关系提供激励的问题和情况，而不是被称为“命名和羞辱”的公众批评，以及2）当特定的人力资源非政府组织战略最终导致国家行为的预期变化时。这项研究有可能通过更好地了解改善世界各地人权状况的战略来增进社会福祉。 它还准备在帮助促进社会科学和其他STEM学科之间的合作方面做出重要贡献。