{"title":"DREC: towards a Datasheet for Reporting Experiments in Crowdsourcing","authors":"Jorge Ramírez, Marcos Báez, F. Casati, L. Cernuzzi, B. Benatallah","doi":"10.1145/3406865.3418318","DOIUrl":null,"url":null,"abstract":"Factors such as instructions, payment schemes, platform demographics, along with strategies for mapping studies into crowdsourcing environments, play an important role in the reproducibility of results. However, inferring these details from scientific articles is often a challenging endeavor, calling for the development of proper reporting guidelines. This paper makes the first steps towards this goal, by describing an initial taxonomy of relevant attributes for crowdsourcing experiments, and providing a glimpse into the state of reporting by analyzing a sample of CSCW papers.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3406865.3418318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Factors such as instructions, payment schemes, platform demographics, along with strategies for mapping studies into crowdsourcing environments, play an important role in the reproducibility of results. However, inferring these details from scientific articles is often a challenging endeavor, calling for the development of proper reporting guidelines. This paper makes the first steps towards this goal, by describing an initial taxonomy of relevant attributes for crowdsourcing experiments, and providing a glimpse into the state of reporting by analyzing a sample of CSCW papers.
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DREC:面向众包实验报告数据表
说明、支付方案、平台人口统计数据等因素,以及将研究映射到众包环境的策略,在结果的可重复性方面发挥着重要作用。然而,从科学文章中推断这些细节往往是一项具有挑战性的努力,这需要制定适当的报告指南。本文为实现这一目标迈出了第一步,描述了众包实验相关属性的初步分类,并通过分析一份CSCW论文样本,对报告状态进行了一瞥。
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