This article presents the latest developments to ClaimBuster’s claim-spotting model, which tackles the critical task of identifying check-worthy claims from large streams of information. We introduce the first adversarially regularized, transformer-based ...

Automated fact-checking has emerged as a safeguard against the spread of false information. Existing fact-checking approaches aim to determine whether a news claim is true or false, and they have achieved decent accuracy of veracity prediction. However, ...

Verifying the accuracy of information is a constant task as the prevalence of misinformation on the Web. In this paper, we focus on Chinese fact-checking (CHEF dataset) [1] and improve the performance through prompt-based learning in both evidence ...

Misinformation in its many forms is a substantial and growing problem for society today. Whether financially or ideologically motivated, purveyors of misinformation do not abide by legal, technical or moral rules. Therefore new, ludic, narrative, ...

Neural document ranking models perform impressively well due to superior language understanding gained from pre-training tasks. However, due to their complexity and large number of parameters these (typically transformer-based) models are often non-...

Misinformation is an important topic in the Information Retrieval (IR) context and has implications for both system-centered and user-centered IR. While it has been established that the performance in discerning misinformation is affected by a person’s ...

An essential part of making shopping purchase decisions is to compare and contrast products based on key differentiating features, but doing this manually can be overwhelming. Prior methods offer limited product comparison capabilities, e.g., via pre-...

This editorial summarizes the content of the Special Issue on Truth and Trust Online of the Journal of Data and Information Quality. We thank the authors for their exceptional contributions to this special issue.

How do the reasons people post misinformation affect how they respond to fact checking interventions? In this research, we conducted a qualitative study of people who shared misinformation. We started with stories marked as false by a popular fact ...

The goal of the Digital Infrastructures for Scholarly Content Objects (DISCO) workshop is to raise awareness of quality issues, improved discovery, and re-use challenges in digital infrastructures for scholarly content, and to collect potential ...

Applications such as computational fact checking and data-to-text generation exploit the relationship between relational data and natural language text. Despite promising results in these areas, state of the art solutions simply fail in managing "data-...

The COVID-19, a disease caused by SARS-CoV-2, affected the whole world in 2020 by its pandemic impact. This virus has a very high capacity for contamination through contact with other infected people. One of the main ways to fight the virus is to reduce ...

Fake news stories can polarize society, particularly during political events. They undermine confidence in the media in general. Current NLP systems are still lacking the ability to properly interpret and classify Arabic fake news. Given the high stakes ...

Professional fact-checking tends to be costly and scalability challenging. For this reason, a series of methods to automate this process has been emerging. Unfortunately, these methods have been created with monolithic architectures, not making use of ...

In recent years, a plethora of fact checking and fact verification techniques have been developed to detect the veracity or factuality of online information text for various applications. However, limited efforts have been undertaken to understand the ...

The open nature of the Web enables users to produce and propagate any content without authentication, which has been exploited to spread thousands of unverified claims via millions of online documents. Maintenance of credible knowledge bases thus has to ...

Fake news spread via social media is a major problem today. It is not easy with current-generation tools to check if a particular article is genuine or contains fake news. While there are many Web sites today that debunk viral fake news, checking if a ...

Fake news is nowadays an issue of pressing concern, given its recent rise as a potential threat to high-quality journalism and well-informed public discourse. The Fake News Challenge (FNC-1) was organized in early 2017 to encourage the development of ...

We present a novel natural language query interface, the AggChecker, aimed at text summaries of relational data sets. The tool focuses on natural language claims that translate into an SQL query and a claimed query result. Similar in spirit to a spell ...

With the increasing uptake of knowledge graphs comes an increasing need for validating the knowledge contained in these graphs. However, the sheer size and number of knowledge bases used in real-world applications makes manual fact checking impractical. ...