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 …
[HTML][HTML] Deep learning for fake news detection: A comprehensive survey
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
Combating misinformation in the era of generative AI models
Misinformation has been a persistent and harmful phenomenon affecting our society in
various ways, including individuals' physical health and economic stability. With the rise of …
various ways, including individuals' physical health and economic stability. With the rise of …
Multi-view co-attention network for fake news detection by modeling topic-specific user and news source credibility
The wide spread of fake news and its negative impacts on society has attracted a lot of
attention to fake news detection. In existing fake news detection methods, particular attention …
attention to fake news detection. In existing fake news detection methods, particular attention …
Multi-view learning with distinguishable feature fusion for rumor detection
Researchers, enterprises, and governments have made great efforts to detect
misinformation promptly and accurately. Traditional solutions either examine complicated …
misinformation promptly and accurately. Traditional solutions either examine complicated …
Dynamic graph neural network for fake news detection
The widespread of fake news on social media and other platforms can bring significant
damage to the harmony and stability of our society. To defend against fake news …
damage to the harmony and stability of our society. To defend against fake news …
Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications—A comprehensive review
In the last decade, there has been a significant surge of interest in machine learning,
primarily driven by advancements in deep learning (DL). DL has emerged as a powerful …
primarily driven by advancements in deep learning (DL). DL has emerged as a powerful …
SoK: Content moderation in social media, from guidelines to enforcement, and research to practice
Social media platforms have been establishing content moderation guidelines and
employing various moderation policies to counter hate speech and misinformation. The goal …
employing various moderation policies to counter hate speech and misinformation. The goal …
Causality-based CTR prediction using graph neural networks
P Zhai, Y Yang, C Zhang - Information Processing & Management, 2023 - Elsevier
As a prevalent problem in online advertising, CTR prediction has attracted plentiful attention
from both academia and industry. Recent studies have been reported to establish CTR …
from both academia and industry. Recent studies have been reported to establish CTR …
Predicting information pathways across online communities
The problem of community-level information pathway prediction (CLIPP) aims at predicting
the transmission trajectory of content across online communities. A successful solution to …
the transmission trajectory of content across online communities. A successful solution to …