Science and the “fake news” conundrum

Preventing sensationalistic science and fake news about substance use

An accurately informed public is vital to creating rational substance use, prevention, and treatment policies. Unfortunately, the general public neither has the training nor the time to conduct intensive investigations. Most people get their information via the news media, newsletters, and as sound bites. People often accept what they read as true, especially if it comes from a reasonably reput...

The Economics of "Fake News"

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

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...