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CHS: Small: Scaffolding Data-Centered Interactions in Online Civic Discussions

CHS：小型：在线公民讨论中以数据为中心的交互的脚手架

基本信息

批准号：
2009003
负责人：
Steven Dow
金额：
$ 49.94万
依托单位：
University of California-San Diego
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2025-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2009003&HistoricalAwards=false
关键词：
CHS Small Scaffolding Data Centered

项目摘要

This project seeks to increase the level of evidence-based discussion at news websites by creating scaffolding that supports data-literate contributions and by adopting concepts from crowdsourcing such as micro-task workflows, incentives, and quality control. The research vision is twofold: (1) to help individuals form a deeper understanding of a civic issue so that their contributions are more valuable, and (2) to layer these contributions back into the original news article so that the narrative and data presentation continually improve for people just entering the discussion. Communities everywhere grapple with civic issues, such as housing, mobility, and climate change. Online discussion systems offer a unique opportunity for diverse audiences to collaboratively build insights around a civic issue, but these systems rarely reach their potential. At best, online discussions give people a chance to express opinions, but all too often they become breeding grounds for trolling and misinformation. The volume of comments can overwhelm moderators, making it difficult to highlight well-reasoned insights that can advance a community. This research aims to advance technologies that scaffold data-centered contributions in order to help communities interact constructively around evidence. The research will (1) characterize the current state of data-centered discussion by analyzing the past ten years of online commenting on three popular news websites, (2) develop and compare scaffolding techniques based on data literacy education that would orient people to offer data-centered observations, critiques, and improvements, (3) conduct controlled experiments to evaluate how these scaffolds affect personal outcomes like comprehension and data literacy, discussion behavior such as reciprocity, and community outcomes including polarization, and (4) develop and evaluate novel online discussion technology through real-world deployments in a project-based classroom focused on climate change and as part of a civic design competition. All research products - including data sets, analysis methods, and source code - will be made available to other researchers exploring online discourse, data science, visualization, and civic design.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.

该项目旨在通过创建支持数据文学贡献的脚手架，并通过采用众包概念（如微任务工作流程，激励措施和质量控制），提高新闻网站的循证讨论水平。研究愿景有两个方面：（1）帮助个人对公民问题有更深入的了解，以便他们的贡献更有价值，以及（2）将这些贡献分层回到原始新闻文章中，以便叙事和数据呈现不断改进刚刚进入讨论的人们。世界各地的社区都在努力解决公民问题，如住房、流动性和气候变化。在线讨论系统为不同的受众提供了一个独特的机会，让他们围绕一个公民问题合作建立见解，但这些系统很少发挥其潜力。在线讨论充其量给了人们一个表达意见的机会，但它们往往成为拖钓和错误信息的滋生地。评论的数量可能会压倒版主，使得很难突出可以推动社区发展的合理见解。这项研究旨在推进以数据为中心的贡献的技术，以帮助社区围绕证据进行建设性的互动。该研究将（1）通过分析过去十年对三个流行新闻网站的在线评论来描述以数据为中心的讨论的现状，（2）开发和比较基于数据素养教育的脚手架技术，这些技术将引导人们提供以数据为中心的观察，批评和改进，（3）进行对照实验，以评估这些支架如何影响个人成果，如理解和数据素养，讨论行为，如互惠，以及社区成果，包括极化，以及（4）通过在以气候变化为重点的基于项目的教室中的实际部署，开发和评估新颖的在线讨论技术，并将其作为城市设计竞赛的一部分。所有的研究成果--包括数据集、分析方法和源代码--都将提供给其他探索在线话语、数据科学、可视化和城市设计的研究人员。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。