O falseamento de realidade assume proporções desmedidas e virais na era da comunicação do compartilhamento com consequências nocivas para a sociedade. negacionismo as chamadas fake news não são inéditos em nossa cultura, mas encontram nas redes sociais relacionamento internet uma arquitetura lógica funcionamento que potencializam facilitam sua disseminação. Vamos explorar como atual cultura hip...

The latest election cycle generated sobering examples of the threat that fake news poses to democracy. Primarily disseminated by hyper-partisan media outlets, fake news proved capable of becoming viral sensations that can dominate social media and influence elections. To address this problem, we begin with stance detection, which is a first step towards identifying fake news. The goal of this p...

Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the news that are spread via Twitter. Our main result is that simple algorithms based on the identity of the users spreading the news, as well as the words appeari...

We model the spread of news as a social learning game on a network. Agents can either endorse or oppose a claim made in a piece of news, which itself may be either true or false. Agents base their decision on a private signal and their neighbors’ past actions. Given these inputs, agents follow strategies derived via multi-agent deep reinforcement learning and receive utility from acting in acco...

Nowadays, social media platforms such as Twitter have become a popular medium for people to spread and consume news because of their easy access the rapid proliferation news. However, credibility posted on these has significant issue. In other words, written that contains inaccurate information aiming mislead readers been rapidly disseminated platforms. literature, this is called fake Detecting...