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Sustainable development of information dissemination: A review of current fake news detection research and practice
L Yuan, H Jiang, H Shen, L Shi, N Cheng - Systems, 2023 - mdpi.com
With the popularization of digital technology, the problem of information pollution caused by
fake news has become more common. Malicious dissemination of harmful, offensive or …
fake news has become more common. Malicious dissemination of harmful, offensive or …
Under the Influence: A Survey of Large Language Models in Fake News Detection
S Kuntur, A Wróblewska, M Paprzycki… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Research into fake news detection has a long history, although it gained significant attention
following the 2016 US election. During this time, the widespread use of social media and the …
following the 2016 US election. During this time, the widespread use of social media and the …
[HTML][HTML] DANES: Deep neural network ensemble architecture for social and textual context-aware fake news detection
CO Truică, ES Apostol, P Karras - Knowledge-Based Systems, 2024 - Elsevier
The growing popularity of social media platforms has simplified the creation and distribution
of news articles but also creates a conduit for spreading fake news. In consequence, the …
of news articles but also creates a conduit for spreading fake news. In consequence, the …
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 …
traditional methods of disaster detection, the integration of social media data can …
MCWDST: A minimum-cost weighted directed spanning tree algorithm for real-time fake news mitigation in social media
CO Truică, ES Apostol, RC Nicolescu, P Karras - IEEE Access, 2023 - ieeexplore.ieee.org
The widespread availability of internet access and handheld devices confers to social media
a power similar to the one newspapers used to have. People seek affordable information on …
a power similar to the one newspapers used to have. People seek affordable information on …
Leveraging transfer learning for hate speech detection in portuguese social media posts
The rapid rise of social media has brought about new ways of digital communication, along
with a worrying increase in online hate speech (HS), which, in turn, has led researchers to …
with a worrying increase in online hate speech (HS), which, in turn, has led researchers to …
[PDF][PDF] Language-based mixture of transformers for exist2024
A Petrescu, CO Truică, ES Apostol - Working Notes of CLEF, 2024 - ceur-ws.org
In this paper, we propose o novel method that leverages a Mixture of Transformers (MoT)
based on the language performance of each model. We employ simple, yet effective …
based on the language performance of each model. We employ simple, yet effective …
Fake news detection: comparative evaluation of BERT-like models and large language models with generative AI-annotated data
S Raza, D Paulen-Patterson, C Ding - Knowledge and Information …, 2025 - Springer
Fake news poses a significant threat to public opinion and social stability in modern society.
This study presents a comparative evaluation of BERT-like encoder-only models and …
This study presents a comparative evaluation of BERT-like encoder-only models and …
A majority-based learning system for detecting misinformation
Combating misinformation is both a multifaceted problem and a pressing societal concern.
In response, we propose a user-centric system founded on the majority vote model, offering …
In response, we propose a user-centric system founded on the majority vote model, offering …
[HTML][HTML] Comparative Analysis of Graph Neural Networks and Transformers for Robust Fake News Detection: A Verification and Reimplementation Study
S Kuntur, M Krzywda, A Wróblewska, M Paprzycki… - Electronics, 2024 - mdpi.com
This study compares Transformer-based models and Graph Neural Networks (GNNs) for
fake news detection across three datasets: FakeNewsNet, ISOT, and WELFake. Transformer …
fake news detection across three datasets: FakeNewsNet, ISOT, and WELFake. Transformer …