Social media data are transforming sustainability science. However, challenges from
restrictions in data accessibility and ethical concerns regarding potential data misuse have …

Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …

Could social media data aid in disaster response and damage assessment? Countries face
both an increasing frequency and an increasing intensity of natural disasters resulting from …

In this paper, we review some advances made recently in the study of mobile phone
datasets. This area of research has emerged a decade ago, with the increasing availability …

Social media analytics has become prominent in natural disaster management. In spite of a
large variety of metadata fields in social media data, four dimensions (ie space, time, content …

This study investigates Twitter usage during Hurricane Sandy following the survey of the
general population and exploring communication dynamics on Twitter through different …

Sentiment analysis refers to the class of computational and natural language processing
based techniques used to identify, extract or characterize subjective information, such as …

Coastal communities faced with multiple hazards have shown uneven responses and
behaviors. These responses and behaviors could be better understood by analyzing real …

Citizens with different demographic characters presented varying responses and behaviors
in the same disasters. Their divergent responses can impact their actual damages during …

Societies are confronted with destructive natural disasters of increasing frequency. Social
networks are playing an increasingly important role as early warning systems, aiding with …