Twitter as a tool for the management and analysis of emergency situations: A systematic literature review

M Martínez-Rojas, M del Carmen Pardo-Ferreira… - International Journal of …, 2018 - Elsevier
The importance of timely, accurate and effective use of available information is essential to
the proper management of emergency situations. In recent years, emerging technologies …

[HTML][HTML] Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions

MSM Suhaimin, MHA Hijazi, EG Moung… - Journal of King Saud …, 2023 - Elsevier
The interest in social media sentiment analysis and opinion mining for public security events
has increased over the years. The availability of social media platforms for communication …

Characterizing the propagation of situational information in social media during covid-19 epidemic: A case study on weibo

L Li, Q Zhang, X Wang, J Zhang, T Wang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
During the ongoing outbreak of coronavirus disease (COVID-19), people use social media
to acquire and exchange various types of information at a historic and unprecedented scale …

Learning spatial-temporal regularized correlation filters for visual tracking

F Li, C Tian, W Zuo, L Zhang… - Proceedings of the …, 2018 - openaccess.thecvf.com
Abstract Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …

[ΒΙΒΛΙΟ][B] Big crisis data: social media in disasters and time-critical situations

C Castillo - 2016 - books.google.com
Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …

Thou shalt not hate: Countering online hate speech

B Mathew, P Saha, H Tharad, S Rajgaria… - Proceedings of the …, 2019 - aaai.org
Hate content in social media is ever increasing. While Facebook, Twitter, Google have
attempted to take several steps to tackle the hateful content, they have mostly been …

An ALBERT-based TextCNN-Hatt hybrid model enhanced with topic knowledge for sentiment analysis of sudden-onset disasters

X Zhang, Y Ma - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Sudden-onset disasters put forward new requirements for on the state authorities' ability to
analyze public opinion sentiment. However, traditional sentiment analysis methods ignore …

Mitigating information overload in social media during conflicts and crises: Design and evaluation of a cross-platform alerting system

MA Kaufhold, N Rupp, C Reuter… - Behaviour & Information …, 2020 - Taylor & Francis
The research field of crisis informatics examines, amongst others, the potentials and barriers
of social media use during conflicts and crises. Social media allow emergency services to …

Rapid relevance classification of social media posts in disasters and emergencies: A system and evaluation featuring active, incremental and online learning

MA Kaufhold, M Bayer, C Reuter - Information Processing & Management, 2020 - Elsevier
The research field of crisis informatics examines, amongst others, the potentials and barriers
of social media use during disasters and emergencies. Social media allow emergency …

Automated machine learning approaches for emergency response and coordination via social media in the aftermath of a disaster: A review

L Dwarakanath, A Kamsin, RA Rasheed… - Ieee …, 2021 - ieeexplore.ieee.org
Social media communication serves as an integral part of the crisis response following a
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …