Abstract With increasing globalization, news from different countries, and even in languages, has become readily available a way for many people to learn about other cultures. As around the world more reliant on social media, impact of fake public society also increases. However, most detection research focuses only English. In this work, we compared difference between textual features language...

The Fake News Challenge (FNC-1) is a public competition that aims to find automatic methods for detecting fake news. The dataset for the challenge consists of headline-body pairs, with the objective being to classify the pairs as unrelated, agreeing, disagreeing, or discussing. We developed four neural network models for FNC-1, two using a feed-forward architecture and two using a recurrent arc...

With the rapid evolution of social media, fake news has become a significant problem, which cannot be addressed in timely manner using manual investigation. This motivated numerous studies on automating detection. Most explore supervised training models with different modalities (e.g., text, images, and propagation networks) records to identify news. However, performance such techniques general...

Recently, there is a rapid and wide increase in fake news, defined as provably incorrect information spread with the goal of fraud. The this type misinformation severe danger to social cohesiveness well-being since it increases political polarisation people’s distrust their leaders. Thus, news phenomenon that having significant impact on our lives, particularly politics. This paper proposes nov...

In 2010 computer scientist Filippo Menczer heard a conference talk about some phony news reports that had gone viral during a special Senate election in Massachusetts. “I was struck,” saysMenczer. He and his team at IndianaUniversity Bloomington had been tracking early forms of spam since 2005, looking mainly at then-new social bookmarking sites such as https://del. icio.us/. “We called it soci...

The proliferation of fake news and filter bubbles makes it increasingly difficult to form an unbiased, balanced opinion towards a topic. To ameliorate this, we propose 360° Stance Detection, a tool that aggregates news with multiple perspectives on a topic. It presents them on a spectrum ranging from support to opposition, enabling the user to base their opinion on multiple pieces of diverse ev...