[HTML][HTML] Digital twin smart cities for disaster risk management: a review of evolving concepts

MRMF Ariyachandra, G Wedawatta - Sustainability, 2023 - mdpi.com
Natural hazard-induced disasters have caused catastrophic damage and loss to buildings,
infrastructure, and the affected communities as a whole during the recent decades and their …

A review of social media-based public opinion analyses: Challenges and recommendations

X Dong, Y Lian - Technology in Society, 2021 - Elsevier
Compared with survey polls, social media can yield a better and more comprehensive
understanding of public perceptions of special topics in a more scientific manner. However …

Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages

Y Hu, G Mai, C Cundy, K Choi, N Lao… - International Journal …, 2023 - Taylor & Francis
Social media messages posted by people during natural disasters often contain important
location descriptions, such as the locations of victims. Recent research has shown that many …

Detecting fake news by exploring the consistency of multimodal data

J Xue, Y Wang, Y Tian, Y Li, L Shi, L Wei - Information Processing & …, 2021 - Elsevier
During the outbreak of the new Coronavirus (2019-nCoV) in 2020, the spread of fake news
has caused serious social panic. Fake news often uses multimedia information such as text …

Design and analysis of a large-scale COVID-19 tweets dataset

R Lamsal - applied intelligence, 2021 - Springer
Abstract As of July 17, 2020, more than thirteen million people have been diagnosed with
the Novel Coronavirus (COVID-19), and half a million people have already lost their lives …

Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis

L **ao, X Wu, S Yang, J Xu, J Zhou, L He - Information Processing & …, 2023 - Elsevier
Abstract Multi-modal Aspect-based Sentiment Analysis (MABSA) aims to forecast the polarity
of sentiment concerning aspects within a given sentence based on the correlation between …

[HTML][HTML] Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction

PYW Myint, SL Lo, Y Zhang - Information Processing & Management, 2024 - Elsevier
In the age of rapid internet expansion, social media platforms like Twitter have become
crucial for sharing information, expressing emotions, and revealing intentions during crisis …

AI and data science for smart emergency, crisis and disaster resilience

L Cao - International journal of data science and analytics, 2023 - Springer
The uncertain world has seen increasing emergencies, crises and disasters (ECDs), such as
the COVID-19 pandemic, hurricane Ian, global financial inflation and recession …

Investigating the emotional experiences in eSports spectatorship: The case of League of Legends

F Cauteruccio, Y Kou - Information Processing & Management, 2023 - Elsevier
Electronic sports (eSports) is competitive video gaming that is coordinated and managed by
sporting organizations. While traditional sports have thrived on spectatorship and the …

MEDIC: a multi-task learning dataset for disaster image classification

F Alam, T Alam, MA Hasan, A Hasnat, M Imran… - Neural Computing and …, 2023 - Springer
Recent research in disaster informatics demonstrates a practical and important use case of
artificial intelligence to save human lives and suffering during natural disasters based on …