Articles | Volume 21, issue 6
Review article
15 Jun 2021
Review article |  | 15 Jun 2021

Review article: Detection of actionable tweets in crisis events

Anna Kruspe, Jens Kersten, and Friederike Klan

Data sets

Disasters on Social Media CrowdFlower

Short summary
Messages on social media can be an important source of information during crisis situations. This article reviews approaches for the reliable detection of informative messages in a flood of data. We demonstrate the varying goals of these approaches and present existing data sets. We then compare approaches based (1) on keyword and location filtering, (2) on crowdsourcing, and (3) on machine learning. We also point out challenges and suggest future research.
Final-revised paper