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 …

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. Developing tools to support crisis-affected …

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 …

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 …

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 …

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 …

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 …

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 …

[PDF][PDF] The Impact of Dust Storms on Road Accidents" Case Study-Jordanian Desert Road".

SH Rawashdeh, SA Aldalain, AM Taran… - Review of …, 2021 - researchgate.net
This study aimed to identify the effect of dust storms on road accidents. The study focused on
research on the Jordanian desert road. The researchers used the descriptive survey method …

Location Extraction in Disaster Tweets with a Model Trained on Past Data: Diverse Analysis

T Rokuse, K Utsu, O Uchida - … on Information Technology in Disaster Risk …, 2023 - Springer
Rapid and accurate collection and dissemination of information is essential to minimize
damage in a large-scale disaster. Governments and local authorities responsible for these …