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 …
Zero-shot rumor detection with propagation structure via prompt learning
The spread of rumors along with breaking events seriously hinders the truth in the era of
social media. Previous studies reveal that due to the lack of annotated resources, rumors …
social media. Previous studies reveal that due to the lack of annotated resources, rumors …
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 …
Rumor detection with self-supervised learning on texts and social graph
Rumor detection has become an emerging and active research field in recent years. At the
core is to model the rumor characteristics inherent in rich information, such as propagation …
core is to model the rumor characteristics inherent in rich information, such as propagation …
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 …
Unsupervised rumor detection based on propagation tree VAE
The wide spread of rumors inflicts damages on social media platforms. Detecting rumors has
become an emerging problem concerning the public and government. A crucial problem for …
become an emerging problem concerning the public and government. A crucial problem for …
Rumor detection on social media with crowd intelligence and chatgpt-assisted networks
In the era of widespread dissemination through social media, the task of rumor detection
plays a pivotal role in establishing a trustworthy and reliable information environment …
plays a pivotal role in establishing a trustworthy and reliable information environment …
Social bot-aware graph neural network for early rumor detection
Z Huang, Z Lv, X Han, B Li, M Lu… - proceedings of the 29th …, 2022 - aclanthology.org
Early rumor detection is a key challenging task to prevent rumors from spreading widely.
Sociological research shows that social bots' behavior in the early stage has become the …
Sociological research shows that social bots' behavior in the early stage has become the …
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits
New events emerge over time influencing the topics of rumors in social media. Current
rumor detection benchmarks use random splits as training, development and test sets which …
rumor detection benchmarks use random splits as training, development and test sets which …