Survey on factuality in large language models: Knowledge, retrieval and domain-specificity

C Wang, X Liu, Y Yue, X Tang, T Zhang… - arxiv preprint arxiv …, 2023 - arxiv.org
This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …

Sentiment analysis for fake news detection

MA Alonso, D Vilares, C Gómez-Rodríguez, J Vilares - Electronics, 2021 - mdpi.com
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …

A survey on automated fact-checking

Z Guo, M Schlichtkrull, A Vlachos - Transactions of the Association for …, 2022 - direct.mit.edu
Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …

[HTML][HTML] Fake news detection: A hybrid CNN-RNN based deep learning approach

JA Nasir, OS Khan, I Varlamis - International Journal of Information …, 2021 - Elsevier
The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …

Automated fact-checking for assisting human fact-checkers

P Nakov, D Corney, M Hasanain, F Alam… - arxiv preprint arxiv …, 2021 - arxiv.org
The reporting and the analysis of current events around the globe has expanded from
professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians …

Fake news detection on social media: A data mining perspective

K Shu, A Sliva, S Wang, J Tang, H Liu - ACM SIGKDD explorations …, 2017 - dl.acm.org
Social media for news consumption is a double-edged sword. On the one hand, its low cost,
easy access, and rapid dissemination of information lead people to seek out and consume …

[HTML][HTML] Snorkel: Rapid training data creation with weak supervision

A Ratner, SH Bach, H Ehrenberg, J Fries… - Proceedings of the …, 2017 - ncbi.nlm.nih.gov
Labeling training data is increasingly the largest bottleneck in deploying machine learning
systems. We present Snorkel, a first-of-its-kind system that enables users to train state-of-the …

FRUIT: A blockchain-based efficient and privacy-preserving quality-aware incentive scheme

C Zhang, M Zhao, L Zhu, W Zhang… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Incentive plays an important role in knowledge discovery, as it impels users to provide high-
quality knowledge. To promise incentive schemes with transparency, blockchain technology …

Snorkel: rapid training data creation with weak supervision

A Ratner, SH Bach, H Ehrenberg, J Fries, S Wu, C Ré - The VLDB Journal, 2020 - Springer
Labeling training data is increasingly the largest bottleneck in deploying machine learning
systems. We present Snorkel, a first-of-its-kind system that enables users to train state-of-the …

Unsupervised fake news detection on social media: A generative approach

S Yang, K Shu, S Wang, R Gu, F Wu, H Liu - Proceedings of the AAAI …, 2019 - aaai.org
Social media has become one of the main channels for people to access and consume
news, due to the rapidness and low cost of news dissemination on it. However, such …