With the advent of social media, an increasing number of netizens are sharing and reading
posts and news online. However, the huge volumes of misinformation (eg, fake news and …

The rise of online misinformation is posing a threat to the functioning of democratic
processes. The ability to algorithmically spread false information through online social …

Fact-checking is one of the effective solutions in fighting online misinformation. However,
traditional fact-checking is a process requiring scarce expert human resources, and thus …

Recent work has demonstrated the viability of using crowdsourcing as a tool for evaluating
the truthfulness of public statements. Under certain conditions such as:(1) having a balanced …

In this paper we present the ClaimBuster dataset of 23,533 statements extracted from all US
general election presidential debates and annotated by human coders. The ClaimBuster …

We present an overview of the second edition of the CheckThat! Lab at CLEF 2019. The lab
featured two tasks in two different languages: English and Arabic. Task 1 (English) …

We present an overview of the 2nd edition of the CheckThat! Lab, part of CLEF 2019, with
focus on Task 1: Check-Worthiness in political debates. The task asks to predict which …

Adversarial attacks reveal important vulnerabilities and flaws of trained models. One potent
type of attack are universal adversarial triggers, which are individual n-grams that, when …

As the first step of automatic fact checking, claim check-worthiness detection is a critical
component of fact checking systems. There are multiple lines of research which study this …

This paper describes the winning approach used by the Copenhagen team in the CLEF-
2019 CheckThat! lab. Given a political debate or speech, the aim is to predict which …