The challenges of machine learning for trust and safety: a case study on misinformation detection

M Xiao, J Mayer - arXiv preprint arXiv:2308.12215, 2023 - arxiv.org
We examine the disconnect between scholarship and practice in applying machine learning
to trust and safety problems, using misinformation detection as a case study. We survey …

Sentiment and emotion based representations for fake reviews detection

A Melleng, A Jurek-Loughrey… - Proceedings of the …, 2019 - aclanthology.org
Fake reviews are increasingly prevalent across the Internet. They can be unethical as well
as harmful. They can affect businesses and mislead individual customers. As the opinions …

Explainable rumor detection using inter and intra-feature attention networks

M Chen, N Wang, KP Subbalakshmi - arXiv preprint arXiv:2007.11057, 2020 - arxiv.org
With social media becoming ubiquitous, information consumption from this media has also
increased. However, one of the serious problems that have emerged with this increase, is …

An attention‐based deep learning model for credibility assessment of online health information

S Padhy, SS Rathore - Computational Intelligence, 2023 - Wiley Online Library
With the surge of searching and reading online health‐based articles, maintaining the
quality and credibility of online health‐based articles has become crucial. The circulation of …

Misinformation detection in social networks using emotion analysis and user behavior analysis

V Indu, SM Thampi - Pattern Recognition Letters, 2024 - Elsevier
Social networks have become a prevalent platform for rapid information dissemination
among the general populace. However, the proliferation of misinformation has emerged as a …

[图书][B] Interpretable and Explainable AI for Mental Health

N Wang - 2021 - search.proquest.com
Mental disorders cases are increasing around the world. Approximately, 1-in-7 of the
population worldwide are suffering from one or more mental or substance use disorders …

[PDF][PDF] Exploring the relationships between emotions in fake news

LR Rubio, CM Villegas, BK Norambuena - 2024 - assets-eu.researchsquare.com
Social media has emerged as one of the main conduits of information for individuals, owing
to its immediacy and social interactivity, enabling users to share content they find relevant …

Fake News Detection in Different Applications: State-of-the-art and Future Directions

A Jolly, S Kumar - 2022 - researchsquare.com
Social media platforms such as Telegram, Twitter, WhatsApp, and Facebook have grown
indispensable for information exchange and delivery in recent years. Humans have a …

Deep Learning for Fake News Detection

M Chen - 2022 - search.proquest.com
With social media becoming ubiquitous, information consumption from this media has also
increased. However, one of the serious problems that have emerged with this increase, is …

Adversarial deep factorization for recommender systems

Z Chen, Y Zhang, Z Li - Trends and Applications in Knowledge Discovery …, 2020 - Springer
Recently, hacking from malicious users is a big challenge for major corporations and
government organizations. Tensor factorization methods have been developed to learn …