[HTML][HTML] Knowledge graphs: Opportunities and challenges

C Peng, F Xia, M Naseriparsa, F Osborne - Artificial Intelligence Review, 2023 - Springer
With the explosive growth of artificial intelligence (AI) and big data, it has become vitally
important to organize and represent the enormous volume of knowledge appropriately. As …

Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - arXiv preprint arXiv:2311.05656, 2023 - arxiv.org
Misinformation such as fake news and rumors is a serious threat on information ecosystems
and public trust. The emergence of Large Language Models (LLMs) has great potential to …

A comprehensive survey of graph neural networks for knowledge graphs

Z Ye, YJ Kumar, GO Sing, F Song, J Wang - IEEE Access, 2022 - ieeexplore.ieee.org
The Knowledge graph, a multi-relational graph that represents rich factual information
among entities of diverse classifications, has gradually become one of the critical tools for …

Game-on: Graph attention network based multimodal fusion for fake news detection

M Dhawan, S Sharma, A Kadam, R Sharma… - Social Network Analysis …, 2024 - Springer
Fake news being spread on social media platforms has a disruptive and damaging impact
on our lives. Multimedia content improves the visibility of posts more than text data but is …

Networked knowledge and complex networks: An engineering view

J Lü, G Wen, R Lu, Y Wang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Along with the development of information technologies such as mobile Internet, information
acquisition technology, cloud computing and big data technology, the traditional knowledge …

Demystifying neural fake news via linguistic feature-based interpretation

A Aich, S Bhattacharya, N Parde - Proceedings of the 29th …, 2022 - aclanthology.org
The spread of fake news can have devastating ramifications, and recent advancements to
neural fake news generators have made it challenging to understand how misinformation …

[HTML][HTML] Approach to the fake news detection using the graph neural networks

IA Pilkevych, DL Fedorchuk, MP Romanchuk… - Journal of Edge …, 2023 - acnsci.org
The experience of Russia's war against Ukraine demonstrates the relevance and necessity
of understanding the problems of constant disinformation, the spread of propaganda, and …

Misinformation concierge: a proof-of-concept with curated Twitter dataset on Covid-19 vaccination

S Sharma, A Datta, V Shankaran… - Proceedings of the 32nd …, 2023 - dl.acm.org
We demonstrate the Misinformation Concierge, a proof-of-concept that provides actionable
intelligence on misinformation prevalent in social media. Specifically, it uses language …

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 …

Knowledge enhanced vision and language model for multi-modal fake news detection

X Gao, X Wang, Z Chen, W Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid dissemination of fake news and rumors through the Internet and social media
platforms poses significant challenges and raises concerns in the public sphere. Automatic …