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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…

Disinformation and false content produced by generative AI pose a significant challenge for journalists and fact-checkers who must rapidly verify digital media information. While there is an abundance of NLP models for detecting credibility…

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

Detecting factual errors in textual information, whether generated by large language models (LLM) or curated by humans, is crucial for making informed decisions. LLMs' inability to attribute their claims to external knowledge and their…

Computation and Language · Computer Science 2023-10-27 Farima Fatahi Bayat , Kun Qian , Benjamin Han , Yisi Sang , Anton Belyi , Samira Khorshidi , Fei Wu , Ihab F. Ilyas , Yunyao Li

With the proliferation of Large Language Models (LLMs), the detection of misinformation has become increasingly important and complex. This research proposes an innovative verifiable misinformation detection LLM agent that goes beyond…

Artificial Intelligence · Computer Science 2025-08-06 Zikun Cui , Tianyi Huang , Chia-En Chiang , Cuiqianhe Du

The increased use of large language models (LLMs) across a variety of real-world applications calls for automatic tools to check the factual accuracy of their outputs, as LLMs often hallucinate. This is difficult as it requires assessing…

Computation and Language · Computer Science 2025-10-30 Hasan Iqbal , Yuxia Wang , Minghan Wang , Georgi Georgiev , Jiahui Geng , Iryna Gurevych , Preslav Nakov

Online disinformation poses a global challenge, placing significant demands on fact-checkers who must verify claims efficiently to prevent the spread of false information. A major issue in this process is the redundant verification of…

Computation and Language · Computer Science 2025-04-30 Ivan Vykopal , Martin Hyben , Robert Moro , Michal Gregor , Jakub Simko

Over the past few years, we have been witnessing the rise of misinformation on the Web. People fall victims of fake news during their daily lives and assist their further propagation knowingly and inadvertently. There have been many…

The emergence of "Fake News" and misinformation via online news and social media has spurred an interest in computational tools to combat this phenomenon. In this paper we present a new "Related Fact Checks" service, which can help a reader…

Information Retrieval · Computer Science 2017-11-03 Sreya Guha

Following recent outbreaks, monkeypox-related misinformation continues to rapidly spread online. This negatively impacts response strategies and disproportionately harms LGBTQ+ communities in the short-term, and ultimately undermines the…

Computation and Language · Computer Science 2022-09-21 Akaash Kolluri , Kami Vinton , Dhiraj Murthy

Massive amounts of misinformation have been observed to spread in uncontrolled fashion across social media. Examples include rumors, hoaxes, fake news, and conspiracy theories. At the same time, several journalistic organizations devote…

Social and Information Networks · Computer Science 2016-03-07 Chengcheng Shao , Giovanni Luca Ciampaglia , Alessandro Flammini , Filippo Menczer

With the growth of fake news and disinformation, the NLP community has been working to assist humans in fact-checking. However, most academic research has focused on model accuracy without paying attention to resource efficiency, which is…

Computers and Society · Computer Science 2021-09-03 Mykola Trokhymovych , Diego Saez-Trumper

Online e-commerce scams, ranging from shopping scams to pet scams, globally cause millions of dollars in financial damage every year. In response, the security community has developed highly accurate detection systems able to determine if a…

Cryptography and Security · Computer Science 2025-09-16 Pujan Paudel , Gianluca Stringhini

The rapid spread of misinformation in the digital era poses significant challenges to public discourse, necessitating robust and scalable fact-checking solutions. Traditional human-led fact-checking methods, while credible, struggle with…

Artificial Intelligence · Computer Science 2025-06-24 Tam Trinh , Manh Nguyen , Truong-Son Hy

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 and other key players enjoy direct access to their audiences…

The increasing prevalence of online misinformation has heightened the demand for automated fact-checking solutions. Large Language Models (LLMs) have emerged as potential tools for assisting in this task, but their effectiveness remains…

Computers and Society · Computer Science 2025-03-10 Nicolo' Fontana , Francesco Corso , Enrico Zuccolotto , Francesco Pierri

Reducing the spread of misinformation is challenging. AI-based fact verification systems offer a promising solution by addressing the high costs and slow pace of traditional fact-checking. However, the problem of how to effectively…

Human-Computer Interaction · Computer Science 2025-03-14 Huiyun Tang , Björn Rohles , Yuwei Chuai , Gabriele Lenzini , Anastasia Sergeeva

Short-form video platforms like TikTok present unique challenges for misinformation detection due to their multimodal, dynamic, and noisy content. We present ShortCheck, a modular, inference-only pipeline with a user-friendly interface that…

Computation and Language · Computer Science 2025-09-26 Henrik Vatndal , Vinay Setty

Fact-checking-specific search tools such as Google Fact Check are a promising way to combat misinformation on social media, especially during events bringing significant social influence, such as the COVID-19 pandemic and the U.S.…

Social and Information Networks · Computer Science 2025-05-27 Qiangeng Yang , Tess Christensen , Shlok Gilda , Juliana Fernandes , Daniela Oliveira , Ronald Wilson , Damon Woodard

The increased use of large language models (LLMs) across a variety of real-world applications calls for mechanisms to verify the factual accuracy of their outputs. Difficulties lie in assessing the factuality of free-form responses in open…

Computation and Language · Computer Science 2025-10-30 Yuxia Wang , Minghan Wang , Hasan Iqbal , Georgi Georgiev , Jiahui Geng , Preslav Nakov
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