The TREC Fair Ranking Track aims to provide a platform for participants to develop and evaluate novel retrieval algorithms that can provide a fair exposure to a mixture of demographics or attributes, such as ethnicity, that are represented by relevant documents in response to a search query. For example, particular demographics or attributes can be represented by the documents topical content or authors. The 2022 Fair Ranking Track adopted a resource allocation task. The task focused on supporting Wikipedia editors who are looking to improve the encyclopedia's coverage of topics under the purview of a WikiProject. WikiProject coordinators and/or Wikipedia editors search for Wikipedia documents that are in need of editing to improve the quality of the article. The 2022 Fair Ranking track aimed to ensure that documents that are about, or somehow represent, certain protected characteristics receive a fair exposure to the Wikipedia editors, so that the documents have an fair opportunity of being improved and, therefore, be well-represented in Wikipedia. The under-representation of particular protected characteristics in Wikipedia can result in systematic biases that can have a negative human, social, and economic impact, particularly for disadvantaged or protected societal groups.
翻译:TREC 公平排名轨道旨在为参与者提供一个平台,以开发和评价新的检索算法,这些算法可以公平地暴露于人口或特征的混合体,如族裔等,以相关文件回应搜索询问,例如,某些人口或属性可以以专题内容或作者的文件为代表,2022年公平排名轨道通过了一项资源分配任务,重点是支持维基百科编辑,他们正在寻求改进百科全书对Wiki项目所辖专题的涵盖范围;维基项目协调员和/或维基百科编辑寻找需要编辑的维基百科文件,以提高文章的质量;2022年公平排名轨道旨在确保接近或以某种方式代表某些受保护特征的文件得到维基百科编辑的公平曝光,以使这些文件有公平的机会得到改进,因此在维基百科中得到充分代表;维基百科中特别受保护特征的表达不足可能导致系统性的偏见,尤其对弱势或受保护的社会群体产生负面的、社会和经济影响。