Fake News, troles y bots

The spread of fake news by social bots

The massive spread of fake news has been identified as a major global risk and has been alleged to influence elections and threaten democracies. Communication, cognitive, social, and computer scientists are engaged in efforts to study the complex causes for the viral diffusion of digital misinformation and to develop solutions, while search and social media platforms are beginning to deploy cou...

Fake News in Social Networks

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...

The Economics of "Fake News"

Automatic Detection of Fake News

The proliferation of misleading information in everyday access media outlets such as social media feeds, news blogs, and online newspapers have made it challenging to identify trustworthy news sources, thus increasing the need for computational tools able to provide insights into the reliability of online content. In this paper, we focus on the automatic identification of fake content in online...

NEWS BOTS Automating news and information dissemination on Twitter

So-called “robot” journalism represents a shift towards the automation of journalistic tasks related to news reporting, writing, curation, and even data analysis. In this paper, we consider the extension of robot journalism to the domain of social platforms and study the use of “news bots”—automated accounts that participate in news and information dissemination on social networks. Such bots pr...