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Automated Fact-Checking (AFC) is the automated verification of claim accuracy. AFC is crucial in discerning truth from misinformation, especially given the huge amounts of content are generated online daily. Current research focuses on…

Computation and Language · Computer Science 2025-04-08 Islam Eldifrawi , Shengrui Wang , Amine Trabelsi

Factchecking has always been a part of the journalistic process. However with newsroom budgets shrinking it is coming under increasing pressure just as the amount of false information circulating is on the rise. We therefore propose a…

Computation and Language · Computer Science 2019-07-04 Ben Adler , Giacomo Boscaini-Gilroy

The option of sharing images, videos and audio files on social media opens up new possibilities for distinguishing between false information and fake news on the Internet. Due to the vast amount of data shared every second on social media,…

Machine Learning · Computer Science 2023-07-28 Raphael Frick , Inna Vogel

Easier access to the internet and social media has made disseminating information through online sources very easy. Sources like Facebook, Twitter, online news sites and personal blogs of self-proclaimed journalists have become significant…

Computation and Language · Computer Science 2021-09-28 Shaily Bhatt , Sakshi Kalra , Naman Goenka , Yashvardhan Sharma

Online social networks serve as major platforms for disseminating both real and fake news. Many users--intentionally or unintentionally--spread harmful content, misinformation, and rumors in domains such as politics and business.…

Social and Information Networks · Computer Science 2025-10-17 Mohammad Moradi , Mostafa Haghir Chehreghani

The unmoderated nature of social media enables the diffusion of hoaxes, which in turn jeopardises the credibility of information gathered from social media platforms. Existing research on automated detection of hoaxes has the limitation of…

Computation and Language · Computer Science 2020-06-16 Arkaitz Zubiaga , Aiqi Jiang

This paper describes SciClops, a method to help combat online scientific misinformation. Although automated fact-checking methods have gained significant attention recently, they require pre-existing ground-truth evidence, which, in the…

Computation and Language · Computer Science 2021-10-26 Panayiotis Smeros , Carlos Castillo , Karl Aberer

Major social media platforms increasingly adopt community-based fact-checking to address misinformation on their platforms. While previous research has largely focused on its effect on engagement (e.g., reposts, likes), an understanding of…

Social and Information Networks · Computer Science 2025-05-16 Michelle Bobek , Nicolas Pröllochs

The task of fact-checking deals with assessing the veracity of factual claims based on credible evidence and background knowledge. In particular, scientific fact-checking is the variation of the task concerned with verifying claims rooted…

Computation and Language · Computer Science 2023-05-29 Juraj Vladika , Florian Matthes

Occurrences of catastrophes such as natural or man-made disasters trigger the spread of rumours over social media at a rapid pace. Presenting a trustworthy and summarized account of the unfolding event in near real-time to the consumers of…

We propose CRAVE (Cluster-based Retrieval Augmented Verification with Explanation); a novel framework that integrates retrieval-augmented Large Language Models (LLMs) with clustering techniques to address fact-checking challenges on social…

In recent years, algorithms have been incorporated into fact-checking pipelines. They are used not only to flag previously fact-checked misinformation, but also to provide suggestions about which trending claims should be prioritized for…

Computers and Society · Computer Science 2023-02-10 Terrence Neumann , Nicholas Wolczynski

Automated fact-checking is often presented as an epistemic tool that fact-checkers, social media consumers, and other stakeholders can use to fight misinformation. Nevertheless, few papers thoroughly discuss how. We document this by…

Computation and Language · Computer Science 2023-11-09 Michael Schlichtkrull , Nedjma Ousidhoum , Andreas Vlachos

Datasets extracted from social networks and online forums are often prone to the pitfalls of natural language, namely the presence of unstructured and noisy data. In this work, we seek to enable the collection of high-quality…

Computation and Language · Computer Science 2020-11-11 Rachel Gardner , Maya Varma , Clare Zhu , Ranjay Krishna

This paper discusses the approach used by the Accenture Team for CLEF2021 CheckThat! Lab, Task 1, to identify whether a claim made in social media would be interesting to a wide audience and should be fact-checked. Twitter training and test…

Computation and Language · Computer Science 2021-07-14 Evan Williams , Paul Rodrigues , Sieu Tran

A number of exciting advances have been made in automated fact-checking thanks to increasingly larger datasets and more powerful systems, leading to improvements in the complexity of claims which can be accurately fact-checked. However,…

Computation and Language · Computer Science 2020-11-10 Neema Kotonya , Francesca Toni

Public, professional and academic interest in automated fact-checking has drastically increased over the past decade, with many aiming to automate one of the first steps in a fact-check procedure: the selection of so-called checkworthy…

Computation and Language · Computer Science 2020-10-21 Liesbeth Allein , Marie-Francine Moens

The rise of social media has ignited an unprecedented circulation of false information in our society. It is even more evident in times of crises, such as the COVID-19 pandemic. Fact-checking efforts have expanded greatly and have been…

Social and Information Networks · Computer Science 2020-12-22 Wilson Ceron , Mathias-Felipe de-Lima-Santos , Marcos G. Quiles

Online social networking sites are experimenting with the following crowd-powered procedure to reduce the spread of fake news and misinformation: whenever a user is exposed to a story through her feed, she can flag the story as…

Social and Information Networks · Computer Science 2017-11-29 Jooyeon Kim , Behzad Tabibian , Alice Oh , Bernhard Schoelkopf , Manuel Gomez-Rodriguez

In the midst of widespread misinformation and disinformation through social media and the proliferation of AI-generated texts, it has become increasingly difficult for people to validate and trust information they encounter. Many…

Computation and Language · Computer Science 2024-09-24 Preetam Prabhu Srikar Dammu , Himanshu Naidu , Mouly Dewan , YoungMin Kim , Tanya Roosta , Aman Chadha , Chirag Shah
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