Fake news, disinformation and misinformation in social media: a review

E Aïmeur, S Amri, G Brassard - Social Network Analysis and Mining, 2023 - Springer
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 …

Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - arXiv preprint arXiv:2311.05656, 2023 - arxiv.org
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 …

Can llm-generated misinformation be detected?

C Chen, K Shu - arXiv preprint arXiv:2309.13788, 2023 - arxiv.org
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 …

Temporally evolving graph neural network for fake news detection

C Song, K Shu, B Wu - Information Processing & Management, 2021 - Elsevier
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 …

[HTML][HTML] Deep learning for fake news detection: A comprehensive survey

L Hu, S Wei, Z Zhao, B Wu - AI open, 2022 - Elsevier
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 …

Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection

A Silva, Y Han, L Luo, S Karunasekera… - Information Processing & …, 2021 - Elsevier
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 …

Fake news detection via knowledgeable prompt learning

G Jiang, S Liu, Y Zhao, Y Sun, M Zhang - Information Processing & …, 2022 - Elsevier
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 …

Context-aware misinformation detection: A benchmark of deep learning architectures using word embeddings

VI Ilie, CO Truică, ES Apostol, A Paschke - IEEE Access, 2021 - ieeexplore.ieee.org
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 …

Dynamic graph neural network for fake news detection

C Song, Y Teng, Y Zhu, S Wei, B Wu - Neurocomputing, 2022 - Elsevier
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 …

The surprising performance of simple baselines for misinformation detection

K Pelrine, J Danovitch, R Rabbany - Proceedings of the Web …, 2021 - dl.acm.org
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 …