Fake news detection using stance extracted multimodal fusion-based hybrid neural network
Public and governmental concerns over online rumors' widespread diffusion and deceptive
impact on social media have increased. For users to obtain accurate information and …
impact on social media have increased. For users to obtain accurate information and …
Enhanced multimodal fake news detection with optimal feature fusion and modified bi-lstm architecture
V Kishore, M Kumar - Cybernetics and systems, 2023 - Taylor & Francis
Numerous enhancements have been made to the mobile internet, which leads to an
increase the people's attention to posting more multi-modal posts among the social media …
increase the people's attention to posting more multi-modal posts among the social media …
Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance
Intervention-based mitigation methods have become a common way to fight misinformation
on Social Media (SM). However, these methods depend on how information spreads are …
on Social Media (SM). However, these methods depend on how information spreads are …
[PDF][PDF] Comparative Analysis of Supervised and Unsupervised Machine Learning Algorithms for Fake News Detection: Performance, Efficiency, and Robustness
In this exploration, the focus is on the detection of fake news, comparing the effectiveness of
supervised and unsupervised machine learning algorithms in discerning false narratives …
supervised and unsupervised machine learning algorithms in discerning false narratives …
Evidence-Aware Fake News Detection: A Review
The proliferation of fake news on social media platforms has raised concerns about the
reliability and trustworthiness of online information. To combat this issue, automatic fake …
reliability and trustworthiness of online information. To combat this issue, automatic fake …
Optimization of Multivariate Hawkes Processes via Decentralized Learning Automata: Towards Learning How to Boost Factual Information on Social Networks
AAO Abouzeid - Doctoral dissertations at University of Agder, 2023 - uia.brage.unit.no
The increasing amount of misleading information on Social Media (SM) platforms is
problematic. The reason is that these platforms have become one of the primary sources of …
problematic. The reason is that these platforms have become one of the primary sources of …
Hybrid Deep Learning Approach for Information Analysis and Fake News Detection
KK Buddi, L Anamalamudi, SS Mutupuri… - 2023 IEEE 15th …, 2023 - ieeexplore.ieee.org
The era of digital information has witnessed the alarming surge of disinformation, posing a
serious challenge to the reliability of information and societal cohesion. In response, the …
serious challenge to the reliability of information and societal cohesion. In response, the …