CAREER: Fostering Prosocial Behavior and Well-Being in Online Communities

该奖项的部分资金来自2021年美国救援计划法案（公法117-2）。社交媒体平台是日常生活中连接人们并帮助分享信息的常见部分。虽然社会已经了解到这些平台如何对个人产生负面影响，但相对而言，我们对平台上的互动如何使我们受益以及如何鼓励人们在这些平台上的积极行为知之甚少。能够衡量社交媒体的潜在好处可以帮助理解其对人们的累积影响，并帮助确定个人改变自己行为的方式，并为社交媒体平台的设计提供信息。该项目旨在开发计算工具，以识别和测量各种方式，其中积极的行为，如同情或同情发生在网上。这项研究将研究在社交媒体中体验积极和消极行为对人们心理健康的影响，以全面了解社交媒体的影响。此外，该项目将确定如何表达积极强化的策略，并开发工具来支持个人积极行为，这两者都应该鼓励社交媒体中的未来积极行为。该项目团队还将为公众和学生发布多层次的教育材料、课程和视频，并提供实用和信息丰富的面向公众的工具，教育人们了解社交媒体对个人福祉的影响。该项目研究社交媒体中的亲社会行为，并量化互动、内容、以及对心理健康的具体方面进行干预。为了实现这一目标，该项目将开发数据集、模型和技术，以识别和鼓励积极的行为。计算技术将结合联合收割机的见解，从自然语言处理和计算社会科学，以识别语言中微妙的社会信号，这将使移动从只是理解文本的含义，以了解文本对观众的影响。该项目将解决三个核心技术挑战：（1）以对社区规范敏感的方式识别在线空间中的亲社会行为;（2）量化社交媒体互动和内容对心理健康维度的影响，并开发计算方法来分析这种影响。以及（3）创造积极主动的技术，通过行为推动和工具促进亲社会行为，帮助人们写更多的亲社会。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用评估支持基金会的学术价值和更广泛的影响评审标准。

This award is funded in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Social media platforms are a common part of daily life that connect people and aid in sharing information. While society has learned how these platforms can negatively impact individuals, little is known comparatively about how our interactions on the platforms benefit us and how to encourage positive behaviors of people on these platforms. Being able to measure the potential benefits of social media can help understand its cumulative effects on people and help identify both ways individuals can change their own behavior and inform the design of social media platforms themselves. This project aims to develop computational tools to identify and measure a variety of ways in which positive behaviors such as compassion or empathy occur online. This research will study the effects of experiencing positive and negative behaviors in social media on people’s psychological well-being to create a holistic picture of social media’s impact. Furthermore, the project will identify strategies for how to phrase positive reinforcement and develop tools to support individuals in behaving positively, both of which should encourage future positive behavior in social media. The project team will also release educational material, courses, and videos for the public and students at multiple levels, as well as provide practical and informative public-facing tools that educate people about the impact of social media on well-being at a personal level.This project studies prosocial behavior in social media and quantifies the impact of interactions, content, and interventions there on specific dimensions of psychological well-being. To accomplish this goal, the project will develop datasets, models, and technologies to identify and encourage positive behaviors. The computational techniques will combine insights from natural language processing and computational social science to recognize subtle social signals in language, which will enable moving from just understanding the meaning of a text to understanding the text’s effects on the audience. The project will address three core technical challenges: (1) recognizing prosocial behavior in online spaces in ways that are sensitive to the norms of the community; (2) quantifying the impact of social media interactions and content on dimensions of psychological well-being and developing computational methods for analyzing this impact at scale; and (3) creating proactive technologies that promote prosocial behavior via behavioral nudges and tools to help people write more prosocially.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.