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Related papers: Toward Verifiable Misinformation Detection: A Mult…

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Large Language Models (LLMs) hold significant potential for advancing fact-checking by leveraging their capabilities in reasoning, evidence retrieval, and explanation generation. However, existing benchmarks fail to comprehensively evaluate…

Computation and Language · Computer Science 2025-06-17 Shuo Yang , Yuqin Dai , Guoqing Wang , Xinran Zheng , Jinfeng Xu , Jinze Li , Zhenzhe Ying , Weiqiang Wang , Edith C. H. Ngai

Fake news significantly influences decision-making processes by misleading individuals, organizations, and even governments. Large language models (LLMs), as part of generative AI, can amplify this problem by generating highly convincing…

Computation and Language · Computer Science 2026-04-14 Lionel Z. Wang , Ka Chung Ng , Yiming Ma , Wenqi Fan

Recent advances have showcased the extraordinary capabilities of Large Language Model (LLM) agents in tackling web-based information-seeking tasks. However, existing efforts mainly focus on single-fact retrieval and rely on outcome-only…

Large language models (LLMs) offer unprecedented opportunities for analyzing social phenomena at scale. This paper demonstrates the value of LLMs in psychological measurement by (1) compiling the first large-scale dataset of election rumors…

Artificial Intelligence · Computer Science 2026-01-09 Etienne Casanova , R. Michael Alvarez

Fake news detection remains a critical challenge in today's rapidly evolving digital landscape, where misinformation can spread faster than ever before. Traditional fake news detection models often rely on static datasets and auxiliary…

Social and Information Networks · Computer Science 2024-09-06 Ruoyu Xu , Gaoxiang Li

Fact-checking health-related claims has become increasingly critical as misinformation proliferates online. Effective verification requires both the retrieval of high-quality evidence and rigorous reasoning processes. In this paper, we…

Artificial Intelligence · Computer Science 2025-12-12 Chih-Han Chen , Chen-Han Tsai , Yu-Shao Peng

In this paper, we evaluate the ability of Large Language Models (LLMs) to assess the veracity of claims in ''news reports'' generated by themselves or other LLMs. Our goal is to determine whether LLMs can effectively fact-check their own…

Computation and Language · Computer Science 2025-03-25 Jiayi Yao , Haibo Sun , Nianwen Xue

We introduce 'FactCheck Editor', an advanced text editor designed to automate fact-checking and correct factual inaccuracies. Given the widespread issue of misinformation, often a result of unintentional mistakes by content creators, our…

Computation and Language · Computer Science 2024-05-01 Vinay Setty

The proliferation of misinformation poses a significant threat to society, exacerbated by the capabilities of generative AI. This demo paper introduces Veracity, an open-source AI system designed to empower individuals to combat…

The spread of misinformation on social media platforms threatens democratic processes, contributes to massive economic losses, and endangers public health. Many efforts to address misinformation focus on a knowledge deficit model and…

Computation and Language · Computer Science 2024-10-16 Saadia Gabriel , Liang Lyu , James Siderius , Marzyeh Ghassemi , Jacob Andreas , Asu Ozdaglar

Automated disinformation generation is often listed as an important risk associated with large language models (LLMs). The theoretical ability to flood the information space with disinformation content might have dramatic consequences for…

Computation and Language · Computer Science 2025-06-13 Ivan Vykopal , Matúš Pikuliak , Ivan Srba , Robert Moro , Dominik Macko , Maria Bielikova

The recent success in language generation capabilities of large language models (LLMs), such as GPT, Bard, Llama etc., can potentially lead to concerns about their possible misuse in inducing mass agitation and communal hatred via…

Computation and Language · Computer Science 2024-01-10 Shrey Satapara , Parth Mehta , Debasis Ganguly , Sandip Modha

Real-world multimodal misinformation often arises from mixed forgery sources, requiring dynamic reasoning and adaptive verification. However, existing methods mainly rely on static pipelines and limited tool usage, limiting their ability to…

Computation and Language · Computer Science 2025-11-18 Xing Cui , Yueying Zou , Zekun Li , Peipei Li , Xinyuan Xu , Xuannan Liu , Huaibo Huang

Multimodal misinformation on online social platforms is becoming a critical concern due to increasing credibility and easier dissemination brought by multimedia content, compared to traditional text-only information. While existing…

Multimedia · Computer Science 2024-09-17 Hui Liu , Wenya Wang , Haoliang Li

In an era increasingly influenced by artificial intelligence, the detection of fake news is crucial, especially in contexts like election seasons where misinformation can have significant societal impacts. This study evaluates the…

Computation and Language · Computer Science 2024-06-12 Sahas Koka , Anthony Vuong , Anish Kataria

The large spread of disinformation across digital platforms creates significant challenges to information integrity. This paper presents a multi-agent system that uses relation extraction to detect disinformation in news articles, focusing…

Artificial Intelligence · Computer Science 2025-08-15 Alexandru-Andrei Avram , Adrian Groza , Alexandru Lecu

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…

Computation and Language · Computer Science 2024-02-13 Kyungha Kim , Sangyun Lee , Kung-Hsiang Huang , Hou Pong Chan , Manling Li , Heng Ji

One of the most challenging forms of misinformation involves pairing images with misleading text to create false narratives. Existing AI-driven detection systems often require domain-specific finetuning, limiting generalizability, and offer…

Artificial Intelligence · Computer Science 2025-10-07 Kumud Lakara , Georgia Channing , Christian Rupprecht , Juil Sock , Philip Torr , John Collomosse , Christian Schroeder de Witt

The advent of large language models (LLMs) has facilitated the development of natural language text generation. It also poses unprecedented challenges, with content hallucination emerging as a significant concern. Existing solutions often…

Computation and Language · Computer Science 2024-06-06 Xiaoxi Sun , Jinpeng Li , Yan Zhong , Dongyan Zhao , Rui Yan

In today's global digital landscape, misinformation transcends linguistic boundaries, posing a significant challenge for moderation systems. Most approaches to misinformation detection are monolingual, focused on high-resource languages,…

Computation and Language · Computer Science 2025-04-01 Xinyu Wang , Wenbo Zhang , Sarah Rajtmajer