ContCommRTD: A distributed content-based misinformation-aware community detection system for real-time disaster reporting

ES Apostol, CO Truică… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
Real-time social media data can provide useful information on evolving hazards. Alongside
traditional methods of disaster detection, the integration of social media data can …

Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters

Z Ma, L Li, Y Mao, Y Wang, OG Patsy… - Natural Hazards …, 2024‏ - ascelibrary.org
The use of social media in crisis informatics has become increasingly popular across a
range of disciplines. Leveraging natural language processing (NLP) techniques enables the …

Kawarith: an Arabic Twitter corpus for crisis events

A Alharbi, M Lee - Proceedings of the sixth arabic natural …, 2021‏ - aclanthology.org
Social media (SM) platforms such as Twitter provide large quantities of real-time data that
can be leveraged during mass emergencies. Develo** tools to support crisis-affected …

Saudibert: A large language model pretrained on saudi dialect corpora

F Qarah - arxiv preprint arxiv:2405.06239, 2024‏ - arxiv.org
In this paper, we introduce SaudiBERT, a monodialect Arabic language model pretrained
exclusively on Saudi dialectal text. To demonstrate the model's effectiveness, we compared …

CybAttT: A Dataset of Cyberattack News Tweets for Enhanced Threat Intelligence

H Lughbi, M Mars, K Almotairi - Data, 2024‏ - mdpi.com
The continuous developments in information technologies have resulted in a significant rise
in security concerns, including cybercrimes, unauthorized access, and cyberattacks …

A Novel NLP-Driven Dashboard for Interactive CyberAttacks Tweet Classification and Visualization

H Lughbi, M Mars, K Almotairi - Information, 2024‏ - mdpi.com
The pervasive reach of social media like the X platform, formerly known as Twitter, offers
unique opportunities for real-time analysis of cyberattack developments. By parsing and …

Designing a comprehensive framework for health management in crowded events

NM Bahbouh, S Sendra, AAA Sen - International Journal of Information …, 2024‏ - Springer
Many countries witness the organization of various events, whether sports, religious, artistic,
cultural, or even political. These events gather large crowds in specific locations. A minor …

Predictive Modeling for Disaster Event Detection using Support Vector Machine

AF Hanif, AD Laksito - 2023 Eighth International Conference …, 2023‏ - ieeexplore.ieee.org
Social media has become an essential part of many aspects of human life. Many people
today spend more time on social media than in-person social interactions. Therefore, it is …

[کتاب][B] Assessing the social impacts of extreme weather events using social media

MD Spruce - 2022‏ - search.proquest.com
The frequency and severity of extreme weather events such as flooding, hurricanes/storms
and heatwaves are increasing as a result of climate change. There is a need for information …

Location Mention Recognition from Japanese Disaster-Related Tweets

T Rokuse, O Uchida - … Conference on Information Technology in Disaster …, 2022‏ - Springer
In order to minimize the damage inflicted by large-scale disasters, it is essential to collect
and disseminate information quickly and accurately. In recent years, various national …