The COVID-19 pandemic has had a significant impact on the air transportation system
worldwide. This paper aims at analyzing the effect of the travel restriction measures …

Mechanisms for sharing information in a disaster situation have drastically changed due to
new technological innovations throughout the world. The use of social media applications …

Detecting the damage assessment tweets is beneficial to both humanitarian organizations
and victims during a disaster. Most of the previous works that identify tweets during a …

Twitter has withstood the test of time as a successful social networking platform. In many
circles globally, the majority of users choose Twitter when choosing a social media outlet for …

Social media, a near-real-time information source, has been widely used to provide timely
infrastructure-related insights following disasters. However, most previous social media …

The huge popularity of social media platforms, such as Twitter, attracts a large fraction of
users to share real-time information and short situational messages during disasters. A …

Analysing social media data is crucial for crisis management organisations to make timely
decisions. Researchers in crisis informatics have devised various methods and systems to …

The multimodality nature of web data has necessitated complex multimodal information
retrieval for a wide range of web applications. Deep neural networks (DNNs) have been …

This article proposes a machine learning augmented technique to predict the coronavirus
disease (COVID-19) outbreak in India by combining Internet search trends along with social …

Identifying tweets related to infrastructure damage during a crisis event is an important
problem. However, the unavailability of labeled data during the early stages of a crisis event …