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NSF Convergence Accelerator Track F: Misinformation Judgments with Public Legitimacy

NSF 融合加速器轨道 F：具有公共合法性的错误信息判断

基本信息

批准号：
2137469
负责人：
Paul Resnick
金额：
$ 75万
依托单位：
Regents of the University of Michigan - Ann Arbor
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-01 至 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2137469&HistoricalAwards=false
关键词：
NSF Convergence Accelerator Track Misinformation

项目摘要

There have been increasingly frequent calls for communication platforms to take action to reduce the impact of misinformation, either by marking articles and posts as misleading or by reducing their distribution. But there is little agreement on what process should be used to determine which articles and posts should receive such enforcement actions. Platforms are reluctant to be fully transparent about their policies and procedures, in part because those procedures depend on human judgments whose public legitimacy is not established. What is needed is a clear conceptual foundation that allows platforms to describe policies in terms of a "subjective ground truth" and be publicly accountable for how well their procedures enact their policies.The project will develop two services. The first is a "golden set" service that, for a sample of items each month, convenes a jury to render judgments. A jury will consider evidence that has been assembled about an item and deliberate with each other. Each juror will then report out an individual judgment about whether the item is misinforming in a way that deserves enforcement action. Those individual judgments provide a partial view of the hypothetical subjective ground truth, which is defined as the distribution of judgments that would be made by all potential jurors if they all participated in a similar jury process. Platforms can then express policies transparently in terms of the actions they intend to take as a function of the subjective ground truth. The golden sets will provide a way to evaluate, after the fact, how well a platform's procedures implement its policies, creating accountability for the outcome of the procedures without requiring the platforms to make details of those procedures public. The second service is a forecasting API that can be used as part of a platform's decision procedures. It will provide, for any content item, a forecast of the subjective ground truth.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.

越来越多的人呼吁传播平台采取行动，减少错误信息的影响，要么将文章和帖子标记为误导性，要么减少它们的传播。但是，对于应该采用什么程序来确定哪些条款和职位应该接受此类强制措施，几乎没有达成一致意见。平台不愿对其政策和程序完全透明，部分原因是这些程序依赖于人类的判断，而这些判断的公共合法性尚未确立。我们需要的是一个清晰的概念基础，使平台能够以“主观的基础真理”来描述政策，并对其程序如何有效地制定政策公开负责。该项目将发展两项服务。第一种是“黄金套装”服务，即每个月召集一个陪审团对一些样品进行评判。陪审团将考虑已经收集到的关于一个项目的证据，并相互商议。然后，每位陪审员将报告其个人判断，判断该项目是否存在误导，是否值得采取强制行动。这些个人判断提供了假设的主观基础真理的部分观点，这被定义为如果所有潜在陪审员都参加类似的陪审团程序，他们将做出的判断的分布。然后，平台就可以根据主观的基础事实，以他们打算采取的行动透明地表达政策。“金套”将提供一种评估平台程序执行其政策的效果的方法，在不要求平台公开这些程序细节的情况下，对程序结果建立问责制。第二个服务是预测API，可以用作平台决策过程的一部分。它将为任何内容项提供对主观基础真值的预测。该奖项反映了美国国家科学基金会的法定使命，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。