Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - AI Magazine, 2024 - Wiley Online Library
Misinformation such as fake news and rumors is a serious threat for information ecosystems
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

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 …

A survey on stance detection for mis-and disinformation identification

M Hardalov, A Arora, P Nakov, I Augenstein - arXiv preprint arXiv …, 2021 - arxiv.org
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …

Rumor detection on twitter with claim-guided hierarchical graph attention networks

H Lin, J Ma, M Cheng, Z Yang, L Chen… - arXiv preprint arXiv …, 2021 - arxiv.org
Rumors are rampant in the era of social media. Conversation structures provide valuable
clues to differentiate between real and fake claims. However, existing rumor detection …

Mr2: A benchmark for multimodal retrieval-augmented rumor detection in social media

X Hu, Z Guo, J Chen, L Wen, PS Yu - Proceedings of the 46th …, 2023 - dl.acm.org
As social media platforms are evolving from text-based forums into multi-modal
environments, the nature of misinformation in social media is also transforming accordingly …

Detect rumors in microblog posts for low-resource domains via adversarial contrastive learning

H Lin, J Ma, L Chen, Z Yang, M Cheng… - arXiv preprint arXiv …, 2022 - arxiv.org
Massive false rumors emerging along with breaking news or trending topics severely hinder
the truth. Existing rumor detection approaches achieve promising performance on the …

A weakly supervised propagation model for rumor verification and stance detection with multiple instance learning

R Yang, J Ma, H Lin, W Gao - Proceedings of the 45th international ACM …, 2022 - dl.acm.org
The diffusion of rumors on social media generally follows a propagation tree structure, which
provides valuable clues on how an original message is transmitted and responded by users …

Beneath the surface: Unveiling harmful memes with multimodal reasoning distilled from large language models

H Lin, Z Luo, J Ma, L Chen - arXiv preprint arXiv:2312.05434, 2023 - arxiv.org
The age of social media is rife with memes. Understanding and detecting harmful memes
pose a significant challenge due to their implicit meaning that is not explicitly conveyed …

Structure learning via meta-hyperedge for dynamic rumor detection

X Sun, H Yin, B Liu, Q Meng, J Cao… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Online social networks have greatly facilitated our lives but have also propagated the
spreading of rumours. Traditional works mostly find rumors from content, but content can be …

A unified perspective for disinformation detection and truth discovery in social sensing: a survey

F Xu, VS Sheng, M Wang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
With the proliferation of social sensing, large amounts of observation are contributed by
people or devices. However, these observations contain disinformation. Disinformation can …