HCC: Small: Incorporating Procedural Fairness in Flagging Mechanisms on Social Media Sites

HCC：小型：将程序公平性纳入社交媒体网站上的标记机制

• 批准号: 2329394
• 负责人: Shagun Jhaver
• 金额: $ 58.17万
• 依托单位: Rutgers University New Brunswick
• 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: 2023-09-15 至 2026-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2329394&HistoricalAwards=false
• 关键词: HCC; Small; Incorporating; Procedural; Fairness

This research will analyze expectations and interactions of social media platform users with flagging tools in each phase of the flagging lifecycle. Platforms offer flagging, a technical feature that empowers users to report inappropriate posts or bad actors, to reduce online harm, such as hate speech, nonconsensual sharing of sexual photos, etc. However, prior research shows that reporting harms can be experienced as secondary victimization, especially when victims perceive a lack of procedural justice. Flags play a critical role in maintaining the feasibility of content moderation systems, an initial step to identifying content that requires careful review by moderators or automated tools. It is, therefore, vital to design flagging interfaces in ways that ease the negative experiences of reporting. To accomplish this goal, we must understand how users make sense of flagging, what information they seek, and how they navigate flagging interfaces.There will be three phases in this project: (1) Interviews will be conducted with social media users who have recently flagged a post to understand their motivations, mental models, and concerns prior to flagging. (2) A user study with interactive prototypes will examine the awareness, navigation, and usage issues encountered while using flagging interfaces to report a post. (3) Participatory design workshop sessions will develop prototypes for post-flagging information and communication systems. In each phase, the research output will be codesigned with individuals from marginalized communities, who face disproportionate online abuse. Analysis will draw from the interpretive lens of procedural justice and its notions of voice and consistency to investigate how users develop their fairness perceptions of the flagging processes. It will produce a taxonomy of flagging-decision trees, offering a generative set of design dimensions upon which platforms may alter future flagging implementations.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.

这项研究将分析社交媒体平台用户在标记生命周期的每个阶段与标记工具的期望和互动。平台提供标记，这是一种技术功能，使用户能够报告不适当的帖子或不良行为者，以减少在线伤害，例如仇恨言论，未经同意分享性照片等，然而，先前的研究表明，报告伤害可能会被视为二次受害，特别是当受害者认为缺乏程序正义时。标志在维持内容审核系统的可行性方面发挥着关键作用，这是识别需要审核员或自动化工具仔细审查的内容的第一步。因此，必须以减轻报告负面经验的方式设计标志界面。为了实现这一目标，我们必须了解用户如何理解标记，他们寻求什么信息，以及他们如何浏览标记界面。该项目将分为三个阶段：（1）与最近标记过帖子的社交媒体用户进行访谈，以了解他们在标记之前的动机，心理模型和担忧。(2)使用交互式原型的用户研究将检查使用标记界面报告帖子时遇到的意识，导航和使用问题。(3)初步设计讲习班将为挂旗后的信息和通信系统开发原型。在每个阶段，研究成果将与来自边缘化社区的个人共同设计，他们面临不成比例的在线虐待。分析将从程序正义的解释性透镜及其声音和一致性的概念来调查用户如何发展他们的公平感的萎靡不振的过程。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。