EAGER: Revolutionizing Wikipedia’s Relationship with New and Emerging Knowledge

EAGER：彻底改变维基百科与新兴知识的关系

• 批准号: 2332841
• 负责人: Stevie Chancellor
• 金额: $ 30万
• 依托单位: University of Minnesota-Twin Cities
• 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: 2023-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2332841&HistoricalAwards=false
• 关键词: EAGER; Revolutionizing; Wikipedia; Relationship; New

Millions of people view Wikipedia’s articles daily, and many services rely on the quality of Wikipedia to power their business and AI ventures. This project will contribute new and validated, high-fidelity designs for the fundamental mechanisms Wikipedia uses to organize knowledge, with the goal of enriching the types of knowledge it includes and expand the evidentiary standards it employs. Wikipedia's success rests on a radical knowledge production process—anyone can edit the articles—coupled with a strict evidentiary epistemology that mandates "reliable sources" and a "neutral point of view". But along with the success has come systematic problems and controversies over what knowledge is "valid." These processes may have the effect of excluding much valuable knowledge, including (1) knowledge based on different ways of knowing, such as oral histories; (2) less established knowledge, including emerging knowledge about new medical treatments and therapies; and (2) knowledge directed toward different goals, for example personal experiences that contextualize textbook knowledge. These exclusions occur through the decisions of Wikipedia editors: which edits they allow and which they undo and what rules they enforce. Research will fill the theory-practice gap in Wikipedia research via well-evaluated, high-fidelity prototypes that can change the evidentiary practices in the online encyclopedia. This goal will be accomplished through four phases of work: Phase 1: Translate theory and practice into low-fidelity prototypes for new knowledge representations. Phase 2: Validate initial designs with a small panel of Wikipedia experts. Phase 3: Develop the most promising ideas from Phase 2 into high-fidelity, functional prototypes. Phase 4: Evaluate the high-fidelity prototypes through an asynchronous online community for design critique and generation. Expected scientific outcomes of this project include new design prototypes and policies for Wikipedia that expand and enrich its knowledge-production epistemology, and expert and stakeholder insights into the potential feasibility, efficacy, and acceptability of the designs and policies. This multi-stage, iterative design process is applicable to other complex and risky arenas, such as designing interventions for credibility assessment in social platforms.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.

数以百万计的维基百科每天的人，许多服务都依靠Wikipedia的质量来为其业务和AI风险投资。标准效果。加上Atrict Sevistymogy，授权“可靠的来源”和中立的T，以及成功的问题，与“有效”的知识有关。以不同的认识方式，例如口述历史（2），较少的知识，包括有关新的医疗治疗和疗法的知识；强制性3：将最有前途的想法从2阶段的构想中，功能性原型4：评估高保真性的，这是一个异步的在线社区，以实现该项目的新设计原型。 - 生产的认识论，专家和利益相关者可能可行，以及设计和政策的可接受性并被认为是值得通过Toundation的知识分子优点Meriter影响影响审查标准的评估值得支持的。