SaTC: CORE: Small: Investigating and Mitigating Harmful Design in User-Generated Virtual World through Design Moderation

SaTC:核心:小型:通过设计审核调查和减轻用户生成的虚拟世界中的有害设计

基本信息

  • 批准号:
    2326505
  • 负责人:
  • 金额:
    $ 59.87万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-10-01 至 2026-09-30
  • 项目状态:
    未结题

项目摘要

User-generated virtual worlds are three-dimensional spaces that offer an immersive experience and are designed and populated by tens of millions of users, including a significant number of children. Many children spend considerable time in these online spaces to create, socialize, learn, and play. Although online virtual worlds represent new ways for children to create content and interact with each other, they also have given rise to harmful design. Harmful design can affect unsuspecting child users in manipulative, insidious ways, such as inducing them to perform violent role-plays, exposing them to abusive content, and tricking them into excessive spending. Previous research has studied how to detect and moderate harmful user-generated content, such as hate speech and harassment, which typically exist in static forms such as text, image, and video. However, limited attention has been paid to harmful design in user-generated virtual worlds. This project aims to tackle this challenge by employing a mixed-methods, human-centered design approach. The objectives are to provide comprehensive empirical and conceptual insights into harmful design, foster broader societal and academic awareness of this challenge, and explore strategies to mitigate this challenge and alike.To achieve these goals, the project is identifying and characterizing harmful design in user-generated virtual worlds and exploring moderation strategies that can mitigate harmful design. The project uses a combination of qualitative and quantitative methods to document and analyze instances of harmful design, as well as how child users experience and perceive harmful design. The project also uses cooperative inquiry to work with children and design experts to develop design guidelines that can promote safety design and mitigate harmful design.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.
用户生成的虚拟世界是提供身临其境体验的三维空间,由数千万用户(包括大量儿童)设计和填充。许多孩子在这些在线空间中花费大量时间来创建,社交,学习和玩耍。尽管在线虚拟世界代表了儿童创建内容和彼此互动的新方法,但它们也引起了有害的设计。有害的设计会以操纵性,阴险的方式影响毫无戒心的儿童用户,例如诱使他们执行暴力角色扮演,使他们暴露于滥用内容并欺骗他们过度支出。先前的研究研究了如何检测和适度有害用户生成的内容,例如仇恨言论和骚扰,通常以静态形式存在,例如文本,图像和视频。但是,对用户生成的虚拟世界中有害设计的关注有限。该项目旨在通过采用混合方法,以人为本的设计方法来应对这一挑战。这些目标旨在为有害设计提供全面的经验和概念见解,促进对这一挑战的更广泛的社会和学术意识,并探索策略来减轻这一挑战和挑战。为了实现这些目标,该项目正在确定并表征用户生成的虚拟世界中的有害设计,并探索可以缓解危害危害危害的危险设计的策略。该项目结合了定性和定量方法来记录和分析有害设计的实例,以及儿童用户如何体验和感知有害设计。该项目还使用合作询问与儿童和设计专家合作,以制定设计指南,这些指南可以促进安全设计并减轻有害设计。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子评估来获得支持的,并具有更广泛的影响。

项目成果

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Yubo Kou其他文献

Exploring Offline Context and Consciousness in Everyday Social Media Use
探索日常社交媒体使用中的线下情境和意识
When Code Governs Community
当代码治理社区时
“As Uploaders, We Have the Responsibility”: Individualized Professionalization of Bilibili Uploaders
“作为上传者,我们有责任”:哔哩哔哩上传者的个性化专业化
Community Begins Where Moderation Ends: Peer Support and Its Implications for Community-Based Rehabilitation
社区从节制结束的地方开始:同伴支持及其对社区康复的影响
"At the end of the day, I am accountable": Gig Workers' Self-Tracking for Multi-Dimensional Accountability Management
“归根结底,我有责任”:零工员工自我追踪,多维度问责管理

Yubo Kou的其他文献

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{{ truncateString('Yubo Kou', 18)}}的其他基金

CHS: Small: Investigating and Designing for Behavioral Improvement in Online Community Moderation
CHS:小型:在线社区审核中行为改善的调查和设计
  • 批准号:
    2006854
  • 财政年份:
    2020
  • 资助金额:
    $ 59.87万
  • 项目类别:
    Standard Grant

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相似海外基金

SaTC: CORE: Small: An evaluation framework and methodology to streamline Hardware Performance Counters as the next-generation malware detection system
SaTC:核心:小型:简化硬件性能计数器作为下一代恶意软件检测系统的评估框架和方法
  • 批准号:
    2327427
  • 财政年份:
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  • 资助金额:
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  • 项目类别:
    Continuing Grant
Collaborative Research: NSF-BSF: SaTC: CORE: Small: Detecting malware with machine learning models efficiently and reliably
协作研究:NSF-BSF:SaTC:核心:小型:利用机器学习模型高效可靠地检测恶意软件
  • 批准号:
    2338301
  • 财政年份:
    2024
  • 资助金额:
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  • 项目类别:
    Continuing Grant
Collaborative Research: NSF-BSF: SaTC: CORE: Small: Detecting malware with machine learning models efficiently and reliably
协作研究:NSF-BSF:SaTC:核心:小型:利用机器学习模型高效可靠地检测恶意软件
  • 批准号:
    2338302
  • 财政年份:
    2024
  • 资助金额:
    $ 59.87万
  • 项目类别:
    Continuing Grant
SaTC: CORE: Small: NSF-DST: Understanding Network Structure and Communication for Supporting Information Authenticity
SaTC:核心:小型:NSF-DST:了解支持信息真实性的网络结构和通信
  • 批准号:
    2343387
  • 财政年份:
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  • 资助金额:
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NSF-NSERC: SaTC: CORE: Small: Managing Risks of AI-generated Code in the Software Supply Chain
NSF-NSERC:SaTC:核心:小型:管理软件供应链中人工智能生成代码的风险
  • 批准号:
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  • 财政年份:
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  • 资助金额:
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