DEAP-FAKED: Knowledge graph based approach for fake news detection
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 …
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.
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 …
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
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 …
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 …
the distributed nature of the web, it has increased the risk of misinformation spread. Fake …
Arabic Fake News Detection Using Machine Learning Approach
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 …
significant social concern laden with various risks. Recognizing the seriousness of this …
Ontology for Contextual Fake News Assessment Based on Text and Images
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 …
various sectors, encompassing technology, politics, public health, and finance. This paper …
Addressing the Public Health Misinformation Challenge with Real-Time Data Fusion
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 …
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 …
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 …
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 …
also unleashed a tsunami of false information, with" fake news" going viral. This work …