Results 281 to 290 of about 4,568,849 (333)

Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate

arXiv.org
Fact-checking research has extensively explored verification but less so the generation of natural-language explanations, crucial for user trust. While Large Language Models (LLMs) excel in text generation, their capability for producing faithful ...
Kyungha Kim, Sangyun Lee, Kung-Hsiang Huang, Hou Pong Chan, Manling Li, Heng Ji   +5 more
semanticscholar   +1 more source

Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking

The Web Conference
X's Community Notes, a crowd-sourced fact-checking system, allows users to annotate potentially misleading posts. Notes rated as helpful by a diverse set of users are prominently displayed below the original post. While demonstrably effective at reducing
Soham De, Michiel A. Bakker, Jay Baxter, Martin Saveski   +3 more
semanticscholar   +1 more source

Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research

Natural Language Processing Journal
Automated fact-checking has drawn considerable attention over the past few decades due to the increase in the diffusion of misinformation on online platforms.
Rrubaa Panchendrarajan, A. Zubiaga
semanticscholar   +1 more source

Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs

FEVER
Given the widespread dissemination of misinformation on social media, implementing fact-checking mechanisms for online claims is essential. Manually verifying every claim is very challenging, underscoring the need for an automated fact-checking system ...
R. Singhal, Pransh Patwa, Parth Patwa, Aman Chadha, Amitava Das   +4 more
semanticscholar   +1 more source

Sixty seconds on . . . fact checking

BMJ, 2019
Kind of. It is a truth universally acknowledged that you shouldn’t believe everything you read on Facebook, and now, thanks to Full Fact, an independent fact checking charity, it’s, well, a fact. The UK charity (fullfact.org) has published a report on the first six months of the third party fact checking programme it’s running for Facebook.1 The fact
openaire   +2 more sources

RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models

FEVER
The escalating challenge of misinformation, particularly in political discourse, requires advanced fact-checking solutions; this is even clearer in the more complex scenario of multimodal claims.
M. Khaliq, P. Chang, M. Ma, B. Pflugfelder, F. Mileti'c   +4 more
semanticscholar   +1 more source

Distributed Fact Checking

2023 IEEE International Symposium on Information Theory (ISIT), 2023
Ashwin Verma, Alireza Sharbafchi, Behrouz Touri, Soheil Mohajer   +3 more
openaire   +1 more source

Automatic News Generation and Fact-Checking System Based on Language Processing

arXiv.org
This paper explores an automatic news generation and fact-checking system based on language processing, aimed at enhancing the efficiency and quality of news production while ensuring the authenticity and reliability of the news content.
Xi Peng, Qiming Xu, Zheng Feng, Haopeng Zhao, Lianghao Tan, Yan Zhou, Zecheng Zhang, Chenwei Gong, Yingqiao Zheng   +8 more
semanticscholar   +1 more source

Fact-checking with explanations

2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2022
Adrian Groza, Áron Katona
openaire   +1 more source

Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?

North American Chapter of the Association for Computational Linguistics
Fact-checking pipelines increasingly adopt the Decompose-Then-Verify paradigm, where texts are broken down into smaller claims for individual verification and subsequently combined for a veracity decision.
Qisheng Hu, Quanyu Long, Wenya Wang
semanticscholar   +1 more source