[HTML][HTML] NSEP: Early fake news detection via news semantic environment perception
X Fang, H Wu, J Jing, Y Meng, B Yu, H Yu… - Information Processing & …, 2024 - Elsevier
The abundance of heavy data on social media enables users to share opinions freely,
leading to the rapid spread of misleading content. However, existing fake news detection …
leading to the rapid spread of misleading content. However, existing fake news detection …
Advancements in rumor detection research based on bibliometrics and S-curve technology evolution theory
J Zhao, H Liu, S Zhang, Y Qi, H Dong, X Zhang… - Sage …, 2023 - journals.sagepub.com
With the rapid development of social media, new opportunities have been provided for the
generation and dissemination of online rumors, making systematic study of rumor detection …
generation and dissemination of online rumors, making systematic study of rumor detection …
An adaptive cyclical learning rate based hybrid model for Dravidian fake news detection
Fake news has evolved into a pervasive issue in the era of information overload, influencing
public opinion and challenging the credibility of news sources. While various approaches …
public opinion and challenging the credibility of news sources. While various approaches …
A comprehensive overview of fake news detection on social networks
As social media and web-based forums have grown in popularity, the fast-spreading trend of
fake news has become a major threat to the government and other agencies. With the rise of …
fake news has become a major threat to the government and other agencies. With the rise of …
[HTML][HTML] Fake review detection using transformer-based enhanced LSTM and RoBERTa
Internet reviews significantly influence consumer purchase decisions across all types of
goods and services. However, fake reviews can mislead both customers and businesses …
goods and services. However, fake reviews can mislead both customers and businesses …
RoBERTa-GCN: A Novel Approach for Combating Fake News in Bangla Using Advanced Language Processing and Graph Convolutional Networks
In this era of widespread information, combating fake news in less commonly represented
languages like Bengali is a significant challenge. Fake news is a critical issue in Bangla, a …
languages like Bengali is a significant challenge. Fake news is a critical issue in Bangla, a …
Unmasking Fake News: Navigating the Landscape of Fake News Identification, Challenges and Issues
The dissemination of fake information has grown to be a major issue in the age of digital
media that jeopardizes the accuracy of judgment and the veracity of data. Hence, based on …
media that jeopardizes the accuracy of judgment and the veracity of data. Hence, based on …
Early detection of fake news on emerging topics through weak supervision
SH Akdag, NK Cicekli - Journal of Intelligent Information Systems, 2024 - Springer
In this paper, we present a methodology for the early detection of fake news on emerging
topics through the innovative application of weak supervision. Traditional techniques for fake …
topics through the innovative application of weak supervision. Traditional techniques for fake …
Multilingual Fake News Detection: A Study on Various Models and Training
R Chalehchaleh, R Farahbakhsh… - Intelligent Systems and …, 2024 - books.google.com
Amidst the surge in global online news consumption, tackling the escalating challenge of
fake news requires a multilingual approach. While extensive research has explored fake …
fake news requires a multilingual approach. While extensive research has explored fake …
Multilinguality in Misinformation Detection
A Ekbal, R Kumari - Dive into Misinformation Detection: From Unimodal to …, 2024 - Springer
This chapter examines the value of multilingualism and how it can be used to address
different NLP issues. It first presents a multilingual multimodal misinformation dataset and …
different NLP issues. It first presents a multilingual multimodal misinformation dataset and …