A Semi-Automated Content Moderation Workflow for Humanitarian Situation Assessments

Link D, Ling J, Hoffjann J, Hellingrath B

Research article (journal) | Peer reviewed

Abstract

Although online social media has been recognized as a source of information that is potentiallyrelevant for humanitarian organizations, it remains to demonstrate positive impact. The authors arguethat relevant information isn't yet incorporated effectively into decision-making because the keyrole of humanitarian situation assessment experts and their methodologies hasn't been sufficientlyrecognized and incorporated into information systems design. In particular, the authors focus onthe content moderation process (i.e. on examining, correcting and enriching data and controlling itsdissemination) and argue that existing systems, which often follow a human-is-the-loop approach,either lack automation support or flexibility. In contrast, they present an interactive, semi-automatedcontent moderation workflow and an instantiating prototype that follows the human-is-the-loopapproach and centers on assessment experts. The evaluation of the new system practitioner interviewsand serious games suggests that it offers good compatibility with experts' work practices, moderationquality and flexibility.Keywords

Details about the publication

Volume2016
Issue2
Page range31-49
StatusPublished
Release year2016 (07/03/2017)
Language in which the publication is writtenEnglish
DOI10.4018/IJISCRAM.2016040103
KeywordsDisaster management; situation awareness; machine learning; information systems

Authors from the University of Münster

Hellingrath, Bernd
Chair of Information Systems and Supply Chain Management (Logistik)
Link, Daniel
Chair of Information Systems and Supply Chain Management (Logistik)