[HTML][HTML] Exploiting content characteristics for explainable detection of fake news

S Muñoz, CÁ Iglesias - Big Data and Cognitive Computing, 2024 - mdpi.com
The proliferation of fake news threatens the integrity of information ecosystems, creating a
pressing need for effective and interpretable detection mechanisms. Recent advances in …

Using transformer-based models and social media posts for heat stroke detection

S Anno, Y Kimura, S Sugita - Scientific Reports, 2025 - nature.com
Event-based surveillance is crucial for the early detection and rapid response to potential
public health risks. In recent years, social networking services (SNS) have been recognized …

Optimizing Fake News Detection: A Hybrid Transformer-Based Model for Enhanced Performance

F Al-Quayed, D Javed, NZ Jhanjhi, M Humayun… - IEEE …, 2024 - ieeexplore.ieee.org
Fake news, colloquially referred to as false news, exerts a profound influence on
fundamental facets of our societal framework. Manual fact verification is a frequently utilized …

[HTML][HTML] V-LTCS: Backbone exploration for Multimodal Misogynous Meme detection

S Chinivar, MS Roopa, JS Arunalatha… - Natural Language …, 2024 - Elsevier
Memes have become a fundamental part of online communication and humour, reflecting
and shaping the culture of today's digital age. The amplified Meme culture is inadvertently …

Misinformation Features Detection in Weibo: Unsupervised Learning, Latent Dirichlet Allocation, and Network Structure

Y Li, D Wang, X Li, Y Zhai, C Hon - IEEE Access, 2024 - ieeexplore.ieee.org
This study employs an unsupervised learning technique to identify features of
misinformation on Weibo, a popular social media platform in China. By utilizing BERT …

Exploration of summary informativeness and topic richness through mining multilingual tweets: a study on turkey earthquake 2023

SM Mahindrakar, T Mondal, S Arosh, A Dhakne… - Social Network Analysis …, 2024 - Springer
Improved document richness requires analyzing both English and non-English tweets. This
technique should yield a more simplified and enhanced view of the crisis. Even regional …

Rumors detection on X using pre-trained language models

R Meghatria, H Belhenniche… - 2024 8th International …, 2024 - ieeexplore.ieee.org
With the rapid proliferation of internet technology, social media platforms, particularly
microblogging sites like X (ex Twitter), have emerged as essential channels for news …

Automated Classification: Enhancing Literature Analysis Efficiency in Research Articles Through Machine Learning

R Reynaldi, AS Araminta… - 2024 International …, 2024 - ieeexplore.ieee.org
With the advancements in machine learning (ML) and artificial intelligence (AI), tasks such
as efficiently locating articles on specific topics have greatly improved. Our study focuses on …

Exploration of Topic Relevance in Summaries for Re-summarizing using LLM in Crisis Chronology

SM Mahindrakar, A Dhakne, T Mondal… - 2024 15th …, 2024 - ieeexplore.ieee.org
The current work proposes an exploration over the topical relevance of five extractive micro-
blog summary techniques ie LexRank, LSA, T5, ALBERT & DistilBERT in crisis timeline for …

Design and Evaluation of a Medical Chatbot Built on BERT Language Model for Remote Health Assistance

DR Rao, K Thottempudi, BK Surla… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Telemedicine refers to delivering healthcare services, including diagnosis, treatment, and
consultations, remotely through digital communication tools such as video calls, phone calls …