Regroup Median Loss for Combating Label Noise

F Li, K Li, J Tian, J Zhou - Proceedings of the AAAI Conference on …, 2024 - ojs.aaai.org
The deep model training procedure requires large-scale datasets of annotated data. Due to
the difficulty of annotating a large number of samples, label noise caused by incorrect …

Multi-stage dynamic disinformation detection with graph entropy guidance

X Hao, B Liu, X Yang, X Sun, Q Meng, J Cao - World Wide Web, 2024 - Springer
Online disinformation has become one of the most severe concerns in today's world.
Recognizing disinformation timely and effectively is very hard, because the propagation …

Synews: a synergy-based rumor verification system

A Sarfraz, A Ahmad, F Zeshan, HT Mirza - Social Network Analysis and …, 2024 - Springer
Online social networks (OSNs) are now implied as an important source of news and
information besides establishing social connections. However, such information sharing is …

Refinement of an Epilepsy Dictionary through Human Annotation of Health-related posts on Instagram

A Min, X Wang, RB Correia, J Rozum, WR Miller… - arXiv preprint arXiv …, 2024 - arxiv.org
We used a dictionary built from biomedical terminology extracted from various sources such
as DrugBank, MedDRA, MedlinePlus, TCMGeneDIT, to tag more than 8 million Instagram …

Quantifying Media Influence on Covid-19 Mask-Wearing Beliefs

N Rabb, N Nadgir, JP de Ruiter, L Cowen - arXiv preprint arXiv …, 2024 - arxiv.org
How political beliefs change in accordance with media exposure is a complicated matter.
Some studies have been able to demonstrate that groups with different media diets in the …

[PDF][PDF] Crowdsourcing for Business Ideas through Reddit: Exploring the Dynamics of Online Innovation

KA Dimitrova - 2024 - ritsumei.repo.nii.ac.jp
Innovative businesses are increasingly turning to social platforms like Reddit to crowdsource
ideas for their products and services. Reddit, a diverse crowdsourced news aggregator and …