Fake news, disinformation and misinformation in social media: a review
Online social networks (OSNs) are rapidly growing and have become a huge source of all
kinds of global and local news for millions of users. However, OSNs are a double-edged …
kinds of global and local news for millions of users. However, OSNs are a double-edged …
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 …
Can llm-generated misinformation be detected?
The advent of Large Language Models (LLMs) has made a transformative impact. However,
the potential that LLMs such as ChatGPT can be exploited to generate misinformation has …
the potential that LLMs such as ChatGPT can be exploited to generate misinformation has …
Temporally evolving graph neural network for fake news detection
The proliferation of fake news on social media has the probability to bring an unfavorable
impact on public opinion and social development. Many efforts have been paid to develop …
impact on public opinion and social development. Many efforts have been paid to develop …
[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 …
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection
Many recent studies have demonstrated that the propagation patterns of news on social
media can facilitate the detection of fake news. Most of these studies rely on the complete …
media can facilitate the detection of fake news. Most of these studies rely on the complete …
Fake news detection via knowledgeable prompt learning
The spread of fake news has become a significant social problem, drawing great concern for
fake news detection (FND). Pretrained language models (PLMs), such as BERT and …
fake news detection (FND). Pretrained language models (PLMs), such as BERT and …
Context-aware misinformation detection: A benchmark of deep learning architectures using word embeddings
New mass media paradigms for information distribution have emerged with the digital age.
With new digital-enabled mass media, the communication process is centered around the …
With new digital-enabled mass media, the communication process is centered around the …
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 …
The surprising performance of simple baselines for misinformation detection
As social media becomes increasingly prominent in our day to day lives, it is increasingly
important to detect informative content and prevent the spread of disinformation and …
important to detect informative content and prevent the spread of disinformation and …