DESIGN PRINCIPLES FOR INFORMATION CATEGORIZATION QUALITY IN CROWDSOURCED CRISIS MAPPING PLATFORMS

• 成果类型: Article
• 署名作者: Valecha, Rohit; Oh, Onook; Rao, H. Raghav
• 署名单位: University of Texas System; University of Texas at San Antonio; Children's Hospital Colorado; University of Colorado System; University of Colorado Anschutz Medical Campus; University of Colorado Denver; University of Texas System; University of Texas at San Antonio
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• DOI: 10.25300/MISQ/2024/16610
• 发表日期: 2025
• 页码: 777-804
• 关键词: social media; judgments; internet; SYSTEM; biases

摘要

Crisis mapping platforms have transformed disaster management and digital humanitarian efforts by allowing victims to quickly submit Requests for Help (RFH) messages directly from disaster locations via mobile devices. On these platforms, online volunteers are often engaged in processing and categorizing messy and incomplete RFH messages into structured and useful crisis reports that can aid first responders in their recovery efforts. This research note examines the case of the Ushahidi platform deployed during the 2010 Haiti Earthquake to propose design principles for a crisis mapping platform that facilitates the conversion and categorization of victim-submitted RFH messages into actionable crisis reports for on-site first responders. To validate the proposed design principles, we instantiated them with the help of a template, and conducted a series of experiments to confirm the effectiveness of the template in improving the categorization quality of crisis reports. We expect that the design principles will be particularly useful for developing digital platforms aimed at humanitarian crisis response that requires a large-scale participation of online crowd volunteers.