People start posting tweets containing texts, images, and videos as soon as a disaster hits
an area. The analysis of these disaster-related tweet texts, images, and videos can help …

COVID-19 has caused havoc globally due to its transmission pace among the inhabitants
and prolific rise in the number of people contracting the disease worldwide. As a result, the …

In times of crisis, the prompt and precise classification of disaster-related information shared
on social media platforms is of paramount importance for effective disaster response and …

Disaster analysis includes data on natural and man-made disasters like tsunamis and
earthquakes. This article reviews machine learning techniques for pandemic and disaster …

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 …

Combining machine learning with social network analysis (SNA) can leverage vast amounts
of social media data to better respond to crises. We present a case study using Twitter data …

In the Present era, social media information plays an impact on our daily activities. Accurate
media information identification is also challenging because of fake or spam information …

View Video Presentation: https://doi. org/10.2514/6.2022-0397. vid Satellite imagery is a
space technology that has become widely used in the field of disaster relief. There exist …

The ease of access to the internet has sparked a worldwide interest in SM in recent years.
The possibilities for the use of SM as a potential source in improving the management of …

Hate speech in social media has posed a threat to society. Several models for a single
language, mostly English hate speech is proposed recently. However, In countries where …