Combating misinformation in the age of llms: Opportunities and challenges
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 …
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 …
A survey on stance detection for mis-and disinformation identification
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …
important role in systems for detecting false information online, be it misinformation …
Rumor detection on twitter with claim-guided hierarchical graph attention networks
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 …
clues to differentiate between real and fake claims. However, existing rumor detection …
Mr2: A benchmark for multimodal retrieval-augmented rumor detection in social media
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 …
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
Massive false rumors emerging along with breaking news or trending topics severely hinder
the truth. Existing rumor detection approaches achieve promising performance on the …
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
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 …
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
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 …
pose a significant challenge due to their implicit meaning that is not explicitly conveyed …
Structure learning via meta-hyperedge for dynamic rumor detection
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 …
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 …
people or devices. However, these observations contain disinformation. Disinformation can …