HNDS-R: Understanding Drivers of Trust in Cryptocurrency Using Big Data and Ethnographic Approaches

HNDS-R：使用大数据和人种学方法了解加密货币信任的驱动因素

• 批准号: 2242205
• 负责人: Mrinalini Tankha
• 金额: $ 36.25万
• 依托单位: Portland State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2242205&HistoricalAwards=false
• 关键词: HNDS; Understanding; Drivers; Trust; Cryptocurrency

The cryptocurrency market represents an increasing share of global economic markets, yet is considerably more volatile. This volatility is shaped in part by the trust that cryptocurrency users place in the cryptocurrency market. Accordingly, crises in cryptocurrency markets offer critical windows for understanding relationships between trust, markets, and regulatory actions. This project leverages crises and recoveries in cryptocurrency markets to investigate impacts on the levels of and underlying rationales for adjusting trust based on market dynamics. Project investigators attend to important variation across stakeholders and disseminate research findings broadly to policymakers, regulators, industry professionals, and scientists. The project also provides training for undergraduate and graduate students in scientific methods of data collection and analysis and includes underrepresented students and scholars in scientific research.The project tests several non-mutually exclusive hypotheses that suggest that trust can be maintained i) when perturbations in cryptocurrency markets are seen as acute versus long-term, ii) when investments are seen as more versus less game-like, iii) when participation in communities facilitate trust; and iv) due to variation in underlying beliefs in cryptocurrency market systems. A unique collaboration between anthropologists and researchers in technology management and computer science is leveraged to synthesize theory and method to motivate cutting-edge analyses of large-scale data capturing broad and deep relationships between trust and stated cryptocurrency market involvement. Specifically, the investigators combine big data methods, using natural language processing analysis of social media data surrounding catastrophic market downturns, with ethnographic methods, including netnography, participant observation, surveys and interviews. Such longitudinal analyses provide unique insights into the ways trust in market systems shift over time and in relation to individual characteristics and broader regulatory scenarios.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

加密货币市场在全球经济市场中所占的份额越来越大，但波动性却相当大。这种波动部分是由加密货币用户对加密货币市场的信任造成的。因此，加密货币市场的危机为理解信任、市场和监管行动之间的关系提供了关键窗口。该项目利用加密货币市场的危机和复苏来调查对根据市场动态调整信任的水平和基本原理的影响。项目调查人员关注利益相关者之间的重要差异，并向政策制定者、监管者、行业专业人士和科学家广泛传播研究结果。该项目还为本科生和研究生提供数据收集和分析科学方法方面的培训，并包括科学研究中代表性不足的学生和学者。该项目测试了几个非互斥的假设，这些假设表明信任可以维持：i）当加密货币市场的扰动被视为剧烈而不是长期时，ii）当投资被视为更多而不是像游戏一样时，iii）当社区参与促进 相信; iv) 由于加密货币市场系统的基本信念的变化。利用人类学家和技术管理和计算机科学研究人员之间的独特合作来综合理论和方法，以激发对大规模数据的前沿分析，捕获信任与规定的加密货币市场参与之间广泛而深入的关系。具体来说，调查人员将大数据方法（使用自然语言处理分析有关灾难性市场低迷的社交媒体数据）与民族志方法（包括网络志、参与者观察、调查和访谈）结合起来。这种纵向分析提供了对市场体系信任随时间变化的方式以及与个人特征和更广泛的监管场景相关的独特见解。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。