[HTML][HTML] Knowledge graphs: Opportunities and challenges
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 …
important to organize and represent the enormous volume of knowledge appropriately. As …
Combating misinformation in the age of llms: Opportunities and challenges
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 …
and public trust. The emergence of Large Language Models (LLMs) has great potential to …
A comprehensive survey of graph neural networks for knowledge graphs
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 …
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
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 …
on our lives. Multimedia content improves the visibility of posts more than text data but is …
Networked knowledge and complex networks: An engineering view
Along with the development of information technologies such as mobile Internet, information
acquisition technology, cloud computing and big data technology, the traditional knowledge …
acquisition technology, cloud computing and big data technology, the traditional knowledge …
Demystifying neural fake news via linguistic feature-based interpretation
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 …
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 …
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
We demonstrate the Misinformation Concierge, a proof-of-concept that provides actionable
intelligence on misinformation prevalent in social media. Specifically, it uses language …
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
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 …
Knowledge enhanced vision and language model for multi-modal fake news detection
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 …
platforms poses significant challenges and raises concerns in the public sphere. Automatic …