True Fake News: Reshaping educational policies with the #MarchofOurLives

The Economics of "Fake News"

Fake News, Real Consequences: Recruiting Neural Networks for the Fight Against Fake News

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...

News Feature: The genuine problem of fake news.

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...

Alt-News and Post-Truths in the "Fake News" Era

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...