Fact-Checking Meets Fauxtography: Verifying Claims About Images
The recent explosion of false claims in social media and on the Web in general has given rise to a lot of manual fact-checking initiatives. Unfortunately, the number of claims that need to be fact-checked is several orders of magnitude larger than what humans can handle manually. Thus, there has been a lot of research aiming at automating the process. Interestingly, previous work has largely ignored the growing number of claims about images. This is despite the fact that visual imagery is more influential than text and naturally appears alongside fake news. Here we aim at bridging this gap. In particular, we create a new dataset for this problem, and we explore a variety of features modeling the claim, the image, and the relationship between the claim and the image. The evaluation results show sizable improvements over the baseline. We release our dataset, hoping to enable further research on fact-checking claims about images.
Code (1)
Tasks
Fact CheckingSimilar Papers 제목 키워드 기반
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media
While there has been substantial progress in developing systems to automate fact-checking, they still lack credibility in the eyes of the users. Thus, an interesting approach has emerged: to perform automatic fact-checki…
Fact CheckingExplainable Automated Fact-Checking for Public Health Claims
Fact-checking is the task of verifying the veracity of claims by assessing their assertions against credible evidence. The vast majority of fact-checking studies focus exclusively on political claims. Very little researc…
Explanation GenerationFact CheckingHerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims
To tackle the AVeriTeC shared task hosted by the FEVER-24, we introduce a system that only employs publicly available large language models (LLMs) for each step of automated fact-checking, dubbed the Herd of Open LLMs fo…
Fact CheckingLanguage ModelingLanguage ModellingQuestion Generation+2How Robust are Fact Checking Systems on Colloquial Claims?
Knowledge is now starting to power neural dialogue agents. At the same time, the risk of misinformation and disinformation from dialogue agents also rises. Verifying the veracity of information from formal sources are wi…
Fact CheckingFact VerificationMisinformationRetrievalQuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
Automated fact checking has gained immense interest to tackle the growing misinformation in the digital era. Existing systems primarily focus on synthetic claims on Wikipedia, and noteworthy progress has also been made o…
Claim VerificationFact CheckingMisinformation