Identifying public misinformation is a complicated and challenging task. Stance detection, i.e. determining the relative perspective a news source takes towards a specific claim, is an important part of evaluating the veracity of the assertion. Automating the process of stance detection would arguably benefit human fact checkers. In this paper, we present our stance detection model which claime...

‘Fake news’ has been a topic of controversy during and following the 2016 U.S. presidential election. Much scholarship on it to date focused ‘fakeness’ fake news, illuminating kinds deception involved motivations those who deceive. This study looks at ‘newsness’ news by examining extent which imitates characteristics conventions traditional journalism. Through content analysis 886 articles, we ...

This article presents a preliminary approach towards characterizing political fake news on Twitter through the analysis of their meta-data. In particular, we focus on more than 1.5M tweets collected on the day of the election of Donald Trump as 45th president of the United States of America. We use the meta-data embedded within those tweets in order to look for differences between tweets contai...

Users polarization and confirmation bias play a key role in misinformation spreading on online social media. Our aim is to use this information to determine in advance potential targets for hoaxes and fake news. In this paper, we introduce a general framework for promptly identifying polarizing content on social media and, thus, “predicting” future fake news topics. We validate the performances...

Different language markers can be used to reveal the differences between structures of truthful and deceptive (fake) news. Two experiments are held: the first one is based on lexics level markers, the second one on discourse level is based on rhetorical relations categories (frequencies). Corpus consists of 174 truthful and deceptive news stories in Russian. Support Vector Machines and Random F...

Over the last few years, there has been an unprecedented proliferation of fake news. As a consequence, we are more susceptible to pernicious impact that misinformation and disinformation spreading can have on different segments our society. Thus, development tools for automatic detection news plays important role in prevention its negative effects. Most attempts detect classify false content fo...