[HTML][HTML] Social media mining under the COVID-19 context: Progress, challenges, and opportunities

X Huang, S Wang, M Zhang, T Hu, A Hohl… - International Journal of …, 2022 - Elsevier
Social media platforms allow users worldwide to create and share information, forging vast
sensing networks that allow information on certain topics to be collected, stored, mined, and …

Automated fact‐checking: A survey

X Zeng, AS Abumansour… - Language and Linguistics …, 2021 - Wiley Online Library
As online false information continues to grow, automated fact‐checking has gained an
increasing amount of attention in recent years. Researchers in the field of Natural Language …

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 …

Trustllm: Trustworthiness in large language models

L Sun, Y Huang, H Wang, S Wu, Q Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

Fact-checking complex claims with program-guided reasoning

L Pan, X Wu, X Lu, AT Luu, WY Wang, MY Kan… - arXiv preprint arXiv …, 2023 - arxiv.org
Fact-checking real-world claims often requires collecting multiple pieces of evidence and
applying complex multi-step reasoning. In this paper, we present Program-Guided Fact …

Reinforcement learning-based counter-misinformation response generation: a case study of COVID-19 vaccine misinformation

B He, M Ahamad, S Kumar - Proceedings of the ACM Web Conference …, 2023 - dl.acm.org
The spread of online misinformation threatens public health, democracy, and the broader
society. While professional fact-checkers form the first line of defense by fact-checking …

DialFact: A benchmark for fact-checking in dialogue

P Gupta, CS Wu, W Liu, C Xiong - arXiv preprint arXiv:2110.08222, 2021 - arxiv.org
Fact-checking is an essential tool to mitigate the spread of misinformation and
disinformation. We introduce the task of fact-checking in dialogue, which is a relatively …

Averitec: A dataset for real-world claim verification with evidence from the web

M Schlichtkrull, Z Guo… - Advances in Neural …, 2024 - proceedings.neurips.cc
Existing datasets for automated fact-checking have substantial limitations, such as relying on
artificial claims, lacking annotations for evidence and intermediate reasoning, or including …

Factkb: Generalizable factuality evaluation using language models enhanced with factual knowledge

S Feng, V Balachandran, Y Bai, Y Tsvetkov - arXiv preprint arXiv …, 2023 - arxiv.org
Evaluating the factual consistency of automatically generated summaries is essential for the
progress and adoption of reliable summarization systems. Despite recent advances, existing …

Covid-vts: Fact extraction and verification on short video platforms

F Liu, Y Yacoob, A Shrivastava - arXiv preprint arXiv:2302.07919, 2023 - arxiv.org
We introduce a new benchmark, COVID-VTS, for fact-checking multi-modal information
involving short-duration videos with COVID19-focused information from both the real world …