Conspemollm: conspiracy theory detection using an emotion-based large language model

Z Liu, B Liu, P Thompson, K Yang, S Ananiadou - ECAI 2024, 2024 - ebooks.iospress.nl
The internet has brought both benefits and harms to society. A prime example of the latter is
misinformation, including conspiracy theories, which flood the web. Recent advances in …

ChatGPT and Ensemble Learning for Mobile Text Misinformation Identification

SEVS Pillai, WC Hu - Emerging Technologies for Securing the Cloud …, 2024 - igi-global.com
Abstract According to Pew Research Center, eight-in-ten Americans acquire news from
digital devices, favoring mobile devices over desktops and laptops. News is therefore …

Dual-stream fusion network with multi-head self-attention for multi-modal fake news detection

Y Yang, J Liu, Y Yang, L Cen - Applied Soft Computing, 2024 - Elsevier
With the rapid advancement of social media platforms like Weibo and WeChat, alongside
the emergence of deepfake technologies, tackling fake information has become a major …

Utilizing deep learning models for ternary classification in COVID-19 infodemic detection

J Luo, D El Baz, L Shi - Digital Health, 2024 - journals.sagepub.com
Objective To address the complexities of distinguishing truth from falsehood in the context of
the COVID-19 infodemic, this paper focuses on utilizing deep learning models for infodemic …

Bayesian inference and ant colony optimization for multi-rumor mitigation in online social networks

P Parimi, RR Rout - Soft Computing, 2024 - Springer
With the increasing popularity of social media, Online Social Networks (OSNs) are being
used for promoting or discrediting various products or persons. As such, rumors are spread …

TMEF-BI: Trusted Multimodal Evidential Fusion Considering Behavior Information for Fake News Detection

X Chen, Y Chen, Y Liu, J Pan - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
The multimodal fake news detection is challenging due to the wide scope of news topics and
the frequent speed of emerging event updates on social media, which leads to the difficulty …

Distinguishing Truth from Deception: Employing Machine Learning for Rumor Verification

N Rani, P Badoni, M Wadhwa… - … on Intelligent Systems …, 2024 - ieeexplore.ieee.org
One of the most significant problems in the Internet and social media world we live in today
is fake news. The fact that news can travel great distances in a matter of hours is a blessing …

Federated Learning for Fake News Detection and Data Privacy Preservation

SEVS Pillai, WC Hu - 2024 Cyber Awareness and Research …, 2024 - ieeexplore.ieee.org
People are overwhelmed by a huge amount of news they receive every day. Many times,
they may relay the news to their family members or friends if they deem the news is relevant …

Rumor Spreading Model Based on Emotional Characteristics And Influence

R Wang, J Li, H Sun, S Duan, G Zhang… - Available at SSRN … - papers.ssrn.com
With the surge of social media, online rumors have emerged as a significant public opinion
challenge. To tackle this, our paper introduces a fresh rumor spreading model, emphasizing …