DEAP-FAKED: Knowledge graph based approach for fake news detection

M Mayank, S Sharma, R Sharma - 2022 IEEE/ACM …, 2022 - ieeexplore.ieee.org
Fake News on social media platforms has attracted a lot of attention in recent times, primarily
for events related to politics (2016 US Presidential elections), and healthcare (infodemic …

[PDF][PDF] Classifying Misinformation of User Credibility in Social Media Using Supervised Learning.

M Asfand-e-Yar, Q Hashir, SH Tanvir… - Computers, Materials & …, 2023 - cdn.techscience.cn
The growth of the internet and technology has had a significant effect on social interactions.
False information has become an important research topic due to the massive amount of …

Semantic Knowledge Graphs for Scalable Knowledge Discovery and Acquisition in Public Health

M Majdalawieh, H Al Sabbah, AB Hani… - 2023 20th ACS/IEEE …, 2023 - ieeexplore.ieee.org
Textual medical knowledge for the public health sector exists as data lakes and repositories
across diverse distributed computing systems. However, access to these is impacted by …

Classifying Real and Bot Users Based on their News Spread for Combating Misinformation

T Bui, A Pham, W Kulkarni, Y Yao… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Online social media (OSM) have become the primary global news source, but because of
the distributed nature of the web, it has increased the risk of misinformation spread. Fake …

Arabic Fake News Detection Using Machine Learning Approach

T Duridi, D Eleyan, A Eleyan… - … Symposium on Networks …, 2024 - ieeexplore.ieee.org
In the contemporary digital realm, the widespread dissemination of false Arabic news is a
significant social concern laden with various risks. Recognizing the seriousness of this …

Ontology for Contextual Fake News Assessment Based on Text and Images

K Chandrasekaran, A Kandasamy… - … and Network-Based …, 2024 - ieeexplore.ieee.org
The spread of false news on social networks is a major challenge in the digital age across
various sectors, encompassing technology, politics, public health, and finance. This paper …

Addressing the Public Health Misinformation Challenge with Real-Time Data Fusion

AB Hani, H Alsabbah, M Majdalawieh… - 2023 3rd Intelligent …, 2023 - ieeexplore.ieee.org
Misinformation is at an all-time peak across the globe, it wouldn 't be considered an
exaggeration if we describe 'misinformation'as a billion-dollar industry where bad actors …

GK: A Graphormer Architecture Based Knowledge Graph Reasoning Model for Link Prediction

Y Wu, J Zhou - 2022 IEEE Intl Conf on Parallel & Distributed …, 2022 - ieeexplore.ieee.org
Knowledge Graph has become a dominant research field in graph theory, but its
incompleteness and sparsity hinder its application in various fields. Knowledge Graph …

Span-based Joint Entity and Relation Extraction with Light Attention Encoder

Y Wang, Z Wu - 2022 - researchsquare.com
The construction and updating of the knowledge graph need to obtain a lot of knowledge in
time. Text data generated continuously on the Internet is an important source of this …

[PDF][PDF] Machine Learning Models for Predicting Article Retweets and Likes from Article Titles

P Wada - researchgate.net
Access to information has been more widely available thanks to the digital era, but it has
also unleashed a tsunami of false information, with" fake news" going viral. This work …