RAPID: Documenting and understanding large-scale migrations between social media platforms

RAPID：记录和理解社交媒体平台之间的大规模迁移

• 批准号: 2309485
• 负责人: Brian Keegan
• 金额: $ 9.52万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-12-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2309485&HistoricalAwards=false
• 关键词: RAPID; Documenting; understanding; large; scale

Although social networking sites employ many features to discourage users from moving between platforms, users still migrate to new platforms following sudden changes to rules, designs, and incentives. Since October 2022, alternative social networking sites like Mastodon, an open-source, decentralized micro-blogging service, have received hundreds of thousands of new users. The scale and speed of this migration provide a unique opportunity to understand the motivations to migrate between social networks, to identify the challenges of sudden platform migrations, and to preserve important information from the migration. Surveys, interviews, and archived content will provide time-sensitive data to inform reporting, research, and design related to sudden platform migrations and develop research methods for analyzing decentralized social media. Understanding the drivers of platform migrations and the challenges of re-creating communities on a new platform are important for ensuring that online “public squares” can remain resilient and inclusive spaces for connection, deliberation, and organizing.This project will use quantitative and qualitative methods to characterize the socio-technical mechanisms underpinning the 2022 migration. The first data collection effort will survey users to understand their motivations and challenges with migrating, cross-posting, or remaining. The second data collection effort will interview stakeholders like moderators and software developers to understand their values, priorities, and challenges for governing social platforms facing rapid migrations. The third data collection effort will archive digital traces of content documenting onboarding, socialization, and conflicts illustrating the tensions and challenges associated with the migration. The resources and findings developed by this project will be shared via regular blog posts, a public archive, and peer-reviewed manuscripts.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.

尽管社交网站使用了许多功能来阻止用户在平台之间移动，但用户仍然会在规则，设计和激励措施突然变化后迁移到新平台。自2022年10月以来，像Mastodon这样的开源、去中心化的微博服务替代社交网站已经获得了数十万新用户。这种迁移的规模和速度为理解在社交网络之间迁移的动机、识别突然平台迁移的挑战以及保存迁移中的重要信息提供了独特的机会。调查、访谈和存档内容将提供时间敏感的数据，为与突然的平台迁移相关的报告、研究和设计提供信息，并开发分析去中心化社交媒体的研究方法。了解平台迁移的驱动因素以及在新平台上重建社区的挑战对于确保在线“公共广场”能够保持连接、审议和组织的弹性和包容性空间非常重要。本项目将使用定量和定性方法来描述支撑2022年迁移的社会技术机制。第一个数据收集工作将调查用户，以了解他们的动机和迁移，交叉张贴或保留的挑战。第二个数据收集工作将采访利益相关者，如版主和软件开发人员，以了解他们的价值观，优先事项和面临快速迁移的社交平台管理挑战。第三项数据收集工作将对记录入职、社交和冲突的内容的数字痕迹进行存档，说明与移民相关的紧张局势和挑战。该项目开发的资源和发现将通过定期博客文章、公共档案和同行评审的手稿进行共享。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。